Peter A. Sims

14.2k total citations · 1 hit paper
111 papers, 5.0k citations indexed

About

Peter A. Sims is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Peter A. Sims has authored 111 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 20 papers in Immunology and 16 papers in Genetics. Recurrent topics in Peter A. Sims's work include Single-cell and spatial transcriptomics (21 papers), Glioma Diagnosis and Treatment (16 papers) and T-cell and B-cell Immunology (10 papers). Peter A. Sims is often cited by papers focused on Single-cell and spatial transcriptomics (21 papers), Glioma Diagnosis and Treatment (16 papers) and T-cell and B-cell Immunology (10 papers). Peter A. Sims collaborates with scholars based in United States, Canada and United Kingdom. Peter A. Sims's co-authors include Jinzhou Yuan, X. Sunney Xie, Bill George, Hanna Mendes Levitin, Peter Canoll, David Gergen, Erin Bush, Xiaolin Nan, Andrew N. McLean and Jeffrey N. Bruce and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Peter A. Sims

104 papers receiving 4.8k citations

Hit Papers

Single-cell transcriptomics of human T cells reveals tiss... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter A. Sims United States 40 2.4k 1.1k 702 609 451 111 5.0k
John J. Trombetta United States 10 5.7k 2.4× 1.4k 1.3× 1.3k 1.8× 638 1.0× 154 0.3× 12 7.5k
Insuk Lee South Korea 40 5.4k 2.3× 591 0.6× 785 1.1× 505 0.8× 100 0.2× 148 7.6k
David Lim United States 57 1.8k 0.8× 1.1k 1.0× 467 0.7× 1.0k 1.7× 641 1.4× 417 11.6k
Thierry Voet Belgium 42 5.5k 2.3× 755 0.7× 1.5k 2.1× 737 1.2× 243 0.5× 96 8.6k
Wendy Liu United States 35 2.2k 0.9× 375 0.4× 318 0.5× 1.6k 2.6× 126 0.3× 101 5.8k
Michael Barnett Australia 48 1.6k 0.7× 1.1k 1.0× 367 0.5× 783 1.3× 246 0.5× 246 9.5k
Charles A. Conrad United States 38 2.0k 0.8× 621 0.6× 879 1.3× 1.5k 2.5× 1.9k 4.3× 87 5.0k
Michael White United Kingdom 47 4.1k 1.7× 1.7k 1.6× 1.1k 1.5× 716 1.2× 78 0.2× 159 7.6k
Susan M. Chang United States 59 2.1k 0.9× 551 0.5× 1.1k 1.6× 1.6k 2.6× 4.5k 10.0× 206 10.2k
Anita Lal United States 33 2.7k 1.1× 464 0.4× 877 1.2× 809 1.3× 314 0.7× 88 5.0k

Countries citing papers authored by Peter A. Sims

Since Specialization
Citations

This map shows the geographic impact of Peter A. Sims'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 A. Sims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter A. Sims more than expected).

Fields of papers citing papers by Peter A. Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Sims. 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 A. Sims. The network helps show where Peter A. Sims may publish in the future.

Co-authorship network of co-authors of Peter A. Sims

This figure shows the co-authorship network connecting the top 25 collaborators of Peter A. Sims. A scholar is included among the top collaborators of Peter A. Sims 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 A. Sims. Peter A. Sims 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.
Xia, Shengnan, Susumu Antoku, David Chen, et al.. (2025). The spatial landscape of glial pathology and T cell response in Parkinson’s disease substantia nigra. Nature Communications. 16(1). 7146–7146. 3 indexed citations
2.
Shin, Alice E., Kensuke Sugiura, David Cohen, et al.. (2025). LIN28B-mediated PI3K/AKT pathway activation promotes metastasis in colorectal cancer models. Journal of Clinical Investigation. 135(8). 2 indexed citations
3.
Davis‐Porada, Julia, et al.. (2025). Lung tissue–resident memory T cells optimize protection by IL-10 regulation of innate immunity. The Journal of Experimental Medicine. 223(1).
4.
Haage, Verena, Charles C. White, Ronak Patel, et al.. (2025). HDAC inhibitors engage MITF and the disease-associated microglia signature to enhance amyloid β uptake. Brain Behavior and Immunity. 129. 279–293. 1 indexed citations
5.
Liu, Zhouzerui, Angeliki Mela, Michael Argenziano, et al.. (2023). Single-cell analysis of 5-aminolevulinic acid intraoperative labeling specificity for glioblastoma. Journal of neurosurgery. 140(4). 968–978. 13 indexed citations
6.
Poon, Maya M.L., Daniel P. Caron, Zicheng Wang, et al.. (2023). Tissue adaptation and clonal segregation of human memory T cells in barrier sites. Nature Immunology. 24(2). 309–319. 80 indexed citations
7.
Sugiura, Kensuke, Kensuke Suzuki, Alice E. Shin, et al.. (2023). LIN28B promotes cell invasion and colorectal cancer metastasis via CLDN1 and NOTCH3. JCI Insight. 8(14). 11 indexed citations
8.
Snyder, Mark E., Kaveh Moghbeli, Andrew Craig, et al.. (2022). Modulation of tissue resident memory T cells by glucocorticoids after acute cellular rejection in lung transplantation. The Journal of Experimental Medicine. 219(4). 25 indexed citations
9.
Chait, Michael, Amy Ku, Pranay Dogra, et al.. (2022). Immune and epithelial determinants of age-related risk and alveolar injury in fatal COVID-19. JCI Insight. 7(11). 6 indexed citations
10.
Damaghi, Mehdi, Jeffrey West, Mark Robertson‐Tessi, et al.. (2021). The harsh microenvironment in early breast cancer selects for a Warburg phenotype. Proceedings of the National Academy of Sciences. 118(3). 91 indexed citations
11.
Bayın, N. Sumru, et al.. (2021). Injury-induced ASCL1 expression orchestrates a transitory cell state required for repair of the neonatal cerebellum. Science Advances. 7(50). eabj1598–eabj1598. 9 indexed citations
12.
Caruso, Francesca Pia, Luciano Garofano, Fulvio D’Angelo, et al.. (2020). A map of tumor–host interactions in glioma at single-cell resolution. GigaScience. 9(10). 31 indexed citations
13.
Levitin, Hanna Mendes, Jinzhou Yuan, Yim Ling Cheng, et al.. (2019). De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization. Molecular Systems Biology. 15(2). e8557–e8557. 43 indexed citations
14.
Snyder, Mark E., Michael O. Finlayson, Thomas J. Connors, et al.. (2019). Generation and persistence of human tissue-resident memory T cells in lung transplantation. Science Immunology. 4(33). 196 indexed citations
15.
Szabo, Peter A., Hanna Mendes Levitin, Michelle Miron, et al.. (2019). Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nature Communications. 10(1). 4706–4706. 346 indexed citations breakdown →
16.
Martuscello, Regina T., et al.. (2019). Gene expression analysis of the cerebellar cortex in essential tremor. Neuroscience Letters. 721. 134540–134540. 13 indexed citations
17.
Liang, Lei, Katrina K. Bakken, Peter A. Sims, et al.. (2016). Quantitative Phosphoproteomics Reveals Wee1 Kinase as a Therapeutic Target in a Model of Proneural Glioblastoma. Molecular Cancer Therapeutics. 15(6). 1332–1343. 30 indexed citations
18.
Sonabend, Adam M., Mukesh Bansal, Paolo Guarnieri, et al.. (2014). The Transcriptional Regulatory Network of Proneural Glioma Determines the Genetic Alterations Selected during Tumor Progression. Cancer Research. 74(5). 1440–1451. 41 indexed citations
19.
Shiroguchi, Katsuyuki, Tony Z. Jia, Peter A. Sims, & X. Sunney Xie. (2012). Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes. Proceedings of the National Academy of Sciences. 109(4). 1347–1352. 193 indexed citations
20.
Sims, Peter A., et al.. (1984). The general practitioner in the inner city: a survey of a London health district.. PubMed. 34(261). 199–204. 3 indexed citations

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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