Kirsten E. Diggins

1.1k total citations
25 papers, 670 citations indexed

About

Kirsten E. Diggins is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Kirsten E. Diggins has authored 25 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Immunology and 6 papers in Genetics. Recurrent topics in Kirsten E. Diggins's work include Single-cell and spatial transcriptomics (10 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (8 papers). Kirsten E. Diggins is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (8 papers). Kirsten E. Diggins collaborates with scholars based in United States, Norway and France. Kirsten E. Diggins's co-authors include Jonathan M. Irish, P. Brent Ferrell, Nalin Leelatian, Allison R. Greenplate, Hannah G. Polikowsky, Amy T. Shah, Alex J. Walsh, Melissa C. Skala, Peter S. Linsley and Douglas B. Johnson and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kirsten E. Diggins

25 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kirsten E. Diggins United States 14 291 280 123 98 82 25 670
Cecilia Österholm Sweden 13 542 1.9× 146 0.5× 72 0.6× 57 0.6× 48 0.6× 25 832
Anna Arutyunyan United States 8 570 2.0× 220 0.8× 125 1.0× 74 0.8× 20 0.2× 10 825
Emma Dann United States 7 704 2.4× 298 1.1× 131 1.1× 109 1.1× 29 0.4× 12 1.0k
Michiel van den Brand Netherlands 17 312 1.1× 83 0.3× 217 1.8× 16 0.2× 31 0.4× 44 804
Jennifer Alami Canada 11 443 1.5× 83 0.3× 114 0.9× 50 0.5× 31 0.4× 17 635
Saradhi Mallampati United States 14 275 0.9× 82 0.3× 155 1.3× 8 0.1× 110 1.3× 34 592
Takahiro Tsujikawa Japan 18 351 1.2× 541 1.9× 720 5.9× 18 0.2× 36 0.4× 54 1.3k
Andrew J. Sinnamon United States 17 386 1.3× 96 0.3× 453 3.7× 18 0.2× 25 0.3× 47 932
Qin Ruan United States 9 426 1.5× 91 0.3× 141 1.1× 26 0.3× 19 0.2× 11 1.1k
Khalil Abou‐El‐Ardat Germany 16 371 1.3× 112 0.4× 149 1.2× 15 0.2× 57 0.7× 21 1.0k

Countries citing papers authored by Kirsten E. Diggins

Since Specialization
Citations

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

Fields of papers citing papers by Kirsten E. Diggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirsten E. Diggins. 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 Kirsten E. Diggins. The network helps show where Kirsten E. Diggins may publish in the future.

Co-authorship network of co-authors of Kirsten E. Diggins

This figure shows the co-authorship network connecting the top 25 collaborators of Kirsten E. Diggins. A scholar is included among the top collaborators of Kirsten E. Diggins 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 Kirsten E. Diggins. Kirsten E. Diggins 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.
Diggins, Kirsten E., Alice Wiedeman, Gerald T. Nepom, et al.. (2024). Interconnected lineage trajectories link conventional and natural killer (NK)-like exhausted CD8+ T cells beneficial in type 1 diabetes. Communications Biology. 7(1). 773–773. 3 indexed citations
2.
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
3.
Diggins, Kirsten E., Britta E. Jones, Christian Hundhausen, et al.. (2022). IL-6-Driven pSTAT1 Response Is Linked to T Cell Features Implicated in Early Immune Dysregulation. Frontiers in Immunology. 13. 935394–935394. 5 indexed citations
4.
Yang, Jennie H. M., Kirsten A. Ward‐Hartstonge, Daniel J. Perry, et al.. (2022). Guidelines for standardizing T‐cell cytometry assays to link biomarkers, mechanisms, and disease outcomes in type 1 diabetes. European Journal of Immunology. 52(3). 372–388. 10 indexed citations
5.
Leelatian, Nalin, Justine Sinnaeve, Akshitkumar M. Mistry, et al.. (2020). Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells. eLife. 9. 22 indexed citations
6.
Diggins, Kirsten E., Elisavet Serti, Mario G. Rosasco, et al.. (2020). Exhausted-like CD8+ T cell phenotypes linked to C-peptide preservation in alefacept-treated T1D subjects. JCI Insight. 6(3). 47 indexed citations
7.
Huse, Kanutte, Hannah G. Polikowsky, Kirsten E. Diggins, et al.. (2019). Human Germinal Center B Cells Differ from Naïve and Memory B Cells in CD40 Expression and CD40L‐Induced Signaling Response. Cytometry Part A. 95(4). 442–449. 9 indexed citations
8.
Greenplate, Allison R., Deon B. Doxie, Kirsten E. Diggins, et al.. (2018). Computational Immune Monitoring Reveals Abnormal Double-Negative T Cells Present across Human Tumor Types. Cancer Immunology Research. 7(1). 86–99. 21 indexed citations
9.
Crawford, Dana C., Nicole Restrepo, Kirsten E. Diggins, Eric Farber‐Eger, & Quinn S. Wells. (2018). Frequency and phenotype consequence of APOC3 rare variants in patients with very low triglyceride levels. BMC Medical Genomics. 11(S3). 66–66. 3 indexed citations
10.
Byrne, Michael, Akshitkumar M. Mistry, Hannah G. Polikowsky, et al.. (2018). Machine learning reveals chronic graft-versus-host disease phenotypes and stratifies survival after stem cell transplant for hematologic malignancies. Haematologica. 104(1). 189–196. 37 indexed citations
11.
Byrne, Michael, Akshitkumar M. Mistry, Hannah G. Polikowsky, et al.. (2018). Machine Learning Reveals Patient Phenotypes and Stratifies Outcomes in Chronic Graft-Versus Host Disease. Biology of Blood and Marrow Transplantation. 24(3). S65–S65. 1 indexed citations
12.
Diggins, Kirsten E., et al.. (2017). Characterizing cell subsets using marker enrichment modeling. Nature Methods. 14(3). 275–278. 69 indexed citations
13.
Jenny, Matthew J., William C. Walton, John M. Powers, et al.. (2016). Transcriptomic evaluation of the American oyster, Crassostrea virginica, deployed during the Deepwater Horizon oil spill: Evidence of an active hydrocarbon response pathway. Marine Environmental Research. 120. 166–181. 22 indexed citations
14.
Ferrell, P. Brent, Kirsten E. Diggins, Hannah G. Polikowsky, et al.. (2016). High-Dimensional Analysis of Acute Myeloid Leukemia Reveals Phenotypic Changes in Persistent Cells during Induction Therapy. PLoS ONE. 11(4). e0153207–e0153207. 33 indexed citations
15.
Shah, Amy T., Kirsten E. Diggins, Alex J. Walsh, Jonathan M. Irish, & Melissa C. Skala. (2015). In Vivo Autofluorescence Imaging of Tumor Heterogeneity in Response to Treatment. Neoplasia. 17(12). 862–870. 73 indexed citations
16.
Diggins, Kirsten E., P. Brent Ferrell, & Jonathan M. Irish. (2015). Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data. Methods. 82. 55–63. 97 indexed citations
17.
Leelatian, Nalin, Kirsten E. Diggins, & Jonathan M. Irish. (2015). Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry. Methods in molecular biology. 1346. 99–113. 37 indexed citations
19.
Polikowsky, Hannah G., et al.. (2015). Cutting Edge: Redox Signaling Hypersensitivity Distinguishes Human Germinal Center B Cells. The Journal of Immunology. 195(4). 1364–1367. 28 indexed citations
20.
Udyavar, Akshata R., et al.. (2014). Abstract B27: Phenotypic plasticity and heterogeneity in small cell lung cancer (SCLC): Novel molecular subtypes and potential for targeted therapy.. Clinical Cancer Research. 20(2_Supplement). B27–B27. 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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