Peter S. Linsley

73.1k total citations · 26 hit papers
276 papers, 55.5k citations indexed

About

Peter S. Linsley is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Peter S. Linsley has authored 276 papers receiving a total of 55.5k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Immunology, 86 papers in Molecular Biology and 52 papers in Genetics. Recurrent topics in Peter S. Linsley's work include T-cell and B-cell Immunology (114 papers), Immune Cell Function and Interaction (95 papers) and Immunotherapy and Immune Responses (49 papers). Peter S. Linsley is often cited by papers focused on T-cell and B-cell Immunology (114 papers), Immune Cell Function and Interaction (95 papers) and Immunotherapy and Immune Responses (49 papers). Peter S. Linsley collaborates with scholars based in United States, Germany and Canada. Peter S. Linsley's co-authors include Aimee L. Jackson, Janell M. Schelter, Lee P. Lim, Mao Mao, William Brady, Craig B. Thompson, Julja Burchard, J A Ledbetter, Stephen Friend and Hongyue Dai and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter S. Linsley

272 papers receiving 54.1k citations

Hit Papers

Gene expression profiling predicts clinical outcome of br... 1990 2026 2002 2014 2002 2005 2007 2003 1994 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gene expression profiling predicts clinical outcome of breast cancer
    2002 7.0k citations Hongyue Dai, Mao Mao et al. profile →
  2. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
    2005 3.9k citations Janell M. Schelter, Peter S. Linsley et al. profile →
  3. A microRNA component of the p53 tumour suppressor network
    2007 2.2k citations Aimee L. Jackson, Peter S. Linsley et al. profile →
  4. Expression profiling reveals off-target gene regulation by RNAi
    2003 1.8k citations Aimee L. Jackson, Steven R. Bartz et al. profile →
  5. CTLA-4 can function as a negative regulator of T cell activation
    1994 1.8k citations Peter S. Linsley, Craig B. Thompson et al. profile →
  6. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
    2015 1.6k citations Masanao Yajima, Vivian H. Gersuk et al. profile →
  7. CTLA-4 and PD-1 Receptors Inhibit T-Cell Activation by Distinct Mechanisms
    2005 1.5k citations Richard V. Parry, Jens M. Chemnitz et al. Molecular and Cellular Biology profile →
  8. CTLA-4 is a second receptor for the B cell activation antigen B7.
    1991 1.4k citations Peter S. Linsley et al. The Journal of Experimental Medicine profile →
  9. Long-term acceptance of skin and cardiac allografts after blocking CD40 and CD28 pathways
    1996 1.2k citations Peter S. Linsley et al. profile →
  10. Genetics of gene expression surveyed in maize, mouse and man
    2003 1.1k citations Peter S. Linsley et al. profile →
  11. Long-Term Survival of Xenogeneic Pancreatic Islet Grafts Induced by CTLA4lg
    1992 966 citations Peter S. Linsley et al. profile →
  12. Costimulation of antitumor immunity by the B7 counterreceptor for the T lymphocyte molecules CD28 and CTLA-4
    1992 912 citations Peter S. Linsley et al. profile →
  13. A large-scale RNAi screen in human cells identifies new components of the p53 pathway
    2004 850 citations Peter S. Linsley et al. profile →
  14. Recognizing and avoiding siRNA off-target effects for target identification and therapeutic application
    2009 828 citations Aimee L. Jackson, Peter S. Linsley profile →
  15. Widespread siRNA “off-target” transcript silencing mediated by seed region sequence complementarity
    2006 744 citations Aimee L. Jackson, Janell M. Schelter et al. profile →
  16. IL-10 inhibits macrophage costimulatory activity by selectively inhibiting the up-regulation of B7 expression.
    1993 717 citations Peter S. Linsley et al. The Journal of Immunology profile →
  17. MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators
    2008 713 citations Peter S. Linsley et al. Molecular and Cellular Biology profile →
  18. miR-146a is a significant brake on autoimmunity, myeloproliferation, and cancer in mice
    2011 704 citations Mark Boldin, Konstantin D. Taganov et al. The Journal of Experimental Medicine profile →
  19. Immunosuppression in Vivo by a Soluble Form of the CTLA-4 T Cell Activation Molecule
    1992 692 citations Peter S. Linsley et al. profile →
  20. T-cell antigen CD28 mediates adhesion with B cells by interacting with activation antigen B7/BB-1.
    1990 652 citations Peter S. Linsley et al. profile →
  21. Position-specific chemical modification of siRNAs reduces “off-target” transcript silencing
    2006 618 citations Aimee L. Jackson, Janell M. Schelter et al. profile →
  22. Comparative analysis of B7-1 and B7-2 costimulatory ligands: expression and function.
    1994 592 citations Peter S. Linsley et al. The Journal of Experimental Medicine profile →
  23. Role of the CD28 receptor in T-cell activation
    1990 579 citations Peter S. Linsley, Craig B. Thompson et al. profile →
  24. Treatment of Murine Lupus with CTLA4Ig
    1994 557 citations Peter S. Linsley et al. profile →
  25. Rational Development of LEA29Y (belatacept), a High-Affinity Variant of CTLA4-Ig with Potent Immunosuppressive Properties
    2005 549 citations Peter S. Linsley et al. profile →
  26. The tissue distribution of the B7-2 costimulator in mice: abundant expression on dendritic cells in situ and during maturation in vitro.
    1994 501 citations Peter S. Linsley et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter S. Linsley United States 92 25.0k 22.8k 12.9k 10.5k 6.7k 276 55.5k
David V. Goeddel United States 106 34.7k 1.4× 24.1k 1.1× 16.6k 1.3× 12.4k 1.2× 4.8k 0.7× 194 64.8k
Klaus Rajewsky Germany 145 30.1k 1.2× 41.7k 1.8× 10.5k 0.8× 11.3k 1.1× 6.7k 1.0× 505 77.2k
Ettore Appella United States 120 33.4k 1.3× 17.1k 0.8× 6.4k 0.5× 17.8k 1.7× 4.4k 0.7× 551 54.6k
Stanley J. Korsmeyer United States 132 59.5k 2.4× 15.2k 0.7× 7.6k 0.6× 15.3k 1.5× 4.2k 0.6× 230 84.0k
Peter H. Krammer Germany 108 29.9k 1.2× 19.8k 0.9× 6.7k 0.5× 10.5k 1.0× 2.1k 0.3× 451 48.0k
Meenhard Herlyn United States 110 26.4k 1.1× 8.6k 0.4× 6.1k 0.5× 17.1k 1.6× 2.2k 0.3× 545 42.8k
Isaiah J. Fidler United States 112 21.9k 0.9× 8.7k 0.4× 13.6k 1.1× 21.2k 2.0× 2.8k 0.4× 504 48.4k
Sean J. Morrison United States 92 32.4k 1.3× 10.1k 0.4× 11.6k 0.9× 21.7k 2.1× 3.3k 0.5× 183 62.4k
Garry P. Nolan United States 93 24.6k 1.0× 13.9k 0.6× 5.2k 0.4× 7.2k 0.7× 3.0k 0.4× 398 42.1k
Stuart A. Aaronson United States 107 27.9k 1.1× 6.4k 0.3× 4.4k 0.3× 12.2k 1.2× 9.3k 1.4× 438 45.8k

Countries citing papers authored by Peter S. Linsley

Since Specialization
Citations

This map shows the geographic impact of Peter S. Linsley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter S. Linsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter S. Linsley more than expected).

Fields of papers citing papers by Peter S. Linsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Linsley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter S. Linsley. The network helps show where Peter S. Linsley may publish in the future.

Co-authorship network of co-authors of Peter S. Linsley

This figure shows the co-authorship network connecting the top 25 collaborators of Peter S. Linsley. A scholar is included among the top collaborators of Peter S. Linsley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter S. Linsley. Peter S. Linsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lemaître, Pierre, Francesca Lodi, Niels Vandamme, et al.. (2025). Neutrophil-enriched gene signature correlates with teplizumab therapy resistance in different stages of type 1 diabetes. Journal of Clinical Investigation. 135(23).
2.
Preston‐Hurlburt, Paula, Pamela Clark, Peter S. Linsley, et al.. (2024). Teplizumab induces persistent changes in the antigen-specific repertoire in individuals at risk for type 1 diabetes. Journal of Clinical Investigation. 134(18). 17 indexed citations
3.
Balmas, Elisa, Janice Chen, Alex Hu, et al.. (2023). Islet-autoreactive CD4+ T cells are linked with response to alefacept in type 1 diabetes. JCI Insight. 8(21). 9 indexed citations
4.
Jacobsen, Laura M., Kirsten E. Diggins, Lori Blanchfield, et al.. (2023). Responders to low-dose ATG induce CD4+ T cell exhaustion in type 1 diabetes. JCI Insight. 8(16). 26 indexed citations
5.
Linsley, Peter S., Elisa Balmas, Hannah A. DeBerg, et al.. (2021). Autoreactive T cell receptors with shared germline-like α chains in type 1 diabetes. JCI Insight. 6(22). 19 indexed citations
6.
Sheih, Alyssa, Valentin Voillet, Laïla‐Aïcha Hanafi, et al.. (2020). Clonal kinetics and single-cell transcriptional profiling of CAR-T cells in patients undergoing CD19 CAR-T immunotherapy. Nature Communications. 11(1). 219–219. 177 indexed citations
7.
Berkson, Julia D., Chloe K. Slichter, Hannah A. DeBerg, et al.. (2020). Inflammatory Cytokines Induce Sustained CTLA-4 Cell Surface Expression on Human MAIT Cells. ImmunoHorizons. 4(1). 14–22. 15 indexed citations
8.
Dufort, Matthew J., Alba Llibre, Cate Speake, et al.. (2020). Innate immune stimulation of whole blood reveals IFN-1 hyper-responsiveness in type 1 diabetes. Diabetologia. 63(8). 1576–1587. 25 indexed citations
9.
Davis, Amanda S. Woodward, Matthew J. Dufort, Hannah A. DeBerg, et al.. (2019). The human tissue-resident CCR5 + T cell compartment maintains protective and functional properties during inflammation. Science Translational Medicine. 11(521). 40 indexed citations
10.
Speake, Cate, Samuel O. Skinner, Dror Berel, et al.. (2019). A composite immune signature parallels disease progression across T1D subjects. JCI Insight. 4(23). 12 indexed citations
11.
Wiedeman, Alice, Mario G. Rosasco, Hannah A. DeBerg, et al.. (2019). Autoreactive CD8+ T cell exhaustion distinguishes subjects with slow type 1 diabetes progression. Journal of Clinical Investigation. 130(1). 480–490. 125 indexed citations
12.
DeBerg, Hannah A., Mussaret B. Zaidi, Matthew C. Altman, et al.. (2018). Shared and organism-specific host responses to childhood diarrheal diseases revealed by whole blood transcript profiling. PLoS ONE. 13(1). e0192082–e0192082. 18 indexed citations
13.
Cerosaletti, Karen, Junbao Yang, Hannah A. DeBerg, et al.. (2017). Single-Cell RNA Sequencing Reveals Expanded Clones of Islet Antigen-Reactive CD4+ T Cells in Peripheral Blood of Subjects with Type 1 Diabetes. The Journal of Immunology. 199(1). 323–335. 65 indexed citations
14.
Mpina, Maxmillian, Nicholas J. Maurice, Masanao Yajima, et al.. (2017). Controlled Human Malaria Infection Leads to Long-Lasting Changes in Innate and Innate-like Lymphocyte Populations. The Journal of Immunology. 199(1). 107–118. 35 indexed citations
15.
Boldin, Mark, Konstantin D. Taganov, Dinesh S. Rao, et al.. (2011). miR-146a is a significant brake on autoimmunity, myeloproliferation, and cancer in mice. The Journal of Experimental Medicine. 208(6). 1189–1201. 704 indexed citations breakdown →
16.
Chau, B. Nelson, Robert L. Diaz, Matthew A. Saunders, et al.. (2009). Identification of SULF2 as a Novel Transcriptional Target of p53 by Use of Integrated Genomic Analyses. Cancer Research. 69(4). 1368–1374. 42 indexed citations
17.
Georges, Sara A., Matthew C. Biery, Soo‐Yeon Kim, et al.. (2008). Coordinated Regulation of Cell Cycle Transcripts by p53-Inducible microRNAs, miR-192 and miR-215. Cancer Research. 68(24). 10105–10112. 286 indexed citations
18.
Klinghoffer, Richard A., Brian S. Roberts, James Annis, et al.. (2008). An Optimized Lentivirus-Mediated RNAi Screen Reveals Kinase Modulators of Kinesin-5 Inhibitor Sensitivity. Assay and Drug Development Technologies. 6(1). 105–119. 8 indexed citations
19.
Linsley, Peter S., Steven R. Bartz, Hongyue Dai, et al.. (2008). Chromosome 20q Amplification Regulates in Vitro Response to Kinesin-5 Inhibitor. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Parry, Richard V., Jens M. Chemnitz, Kenneth A. Frauwirth, et al.. (2005). CTLA-4 and PD-1 Receptors Inhibit T-Cell Activation by Distinct Mechanisms. Molecular and Cellular Biology. 25(21). 9543–9553. 1541 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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