Timothy K. Starr

6.6k total citations · 1 hit paper
67 papers, 3.6k citations indexed

About

Timothy K. Starr is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Timothy K. Starr has authored 67 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in Timothy K. Starr's work include Cancer Genomics and Diagnostics (12 papers), Immune Cell Function and Interaction (9 papers) and CRISPR and Genetic Engineering (8 papers). Timothy K. Starr is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Immune Cell Function and Interaction (9 papers) and CRISPR and Genetic Engineering (8 papers). Timothy K. Starr collaborates with scholars based in United States, Canada and Germany. Timothy K. Starr's co-authors include Kristin A. Hogquist, Stephen C. Jameson, David A. Largaespada, Michael B. Burns, Aaron L. Sarver, Ran Blekhman, Dan Knights, Adam J. Dupuy, Lisa K. McNeil and Juan E. Abrahante and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Timothy K. Starr

64 papers receiving 3.5k citations

Hit Papers

align trajectories

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.

Positive and Negative Selection of T Cells

2003 1.2k citations Timothy K. Starr, Stephen C. Jameson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy K. Starr United States	24	1.9k	1.4k	874	507	386	67	3.6k
Robert E. Hollingsworth United States	32	2.0k 1.0×	942 0.7×	1.4k 1.7×	392 0.8×	303 0.8×	66	3.7k
Lei Zheng United States	29	2.1k 1.1×	1.0k 0.8×	751 0.9×	598 1.2×	509 1.3×	70	3.6k
Chengming Zhu United States	26	3.3k 1.8×	981 0.7×	1.3k 1.5×	765 1.5×	279 0.7×	62	4.4k
Ulrich Steidl United States	40	2.5k 1.3×	1.1k 0.8×	810 0.9×	507 1.0×	355 0.9×	126	4.7k
Toshiya Inaba Japan	37	2.6k 1.4×	653 0.5×	799 0.9×	492 1.0×	443 1.1×	124	4.6k
Mayumi Naramura United States	29	1.8k 0.9×	1.8k 1.4×	971 1.1×	406 0.8×	237 0.6×	51	3.6k
Martin S. Staege Germany	23	1.4k 0.7×	842 0.6×	669 0.8×	356 0.7×	158 0.4×	108	2.7k
Sylvain Baulande France	26	1.4k 0.8×	969 0.7×	1.1k 1.3×	778 1.5×	196 0.5×	72	3.4k
Anamaria A. Camargo Brazil	30	2.4k 1.3×	538 0.4×	906 1.0×	759 1.5×	390 1.0×	128	3.8k
Claudine Rancourt Canada	33	2.2k 1.1×	964 0.7×	1.0k 1.2×	472 0.9×	681 1.8×	59	3.6k

Countries citing papers authored by Timothy K. Starr

Since Specialization

Citations

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

Fields of papers citing papers by Timothy K. Starr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy K. Starr. 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 Timothy K. Starr. The network helps show where Timothy K. Starr may publish in the future.

Co-authorship network of co-authors of Timothy K. Starr

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy K. Starr. A scholar is included among the top collaborators of Timothy K. Starr 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 Timothy K. Starr. Timothy K. Starr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ryu, Joohyun, Mihir Shetty, Subina Mehta, et al.. (2025). Investigating proteogenomic divergence in patient-derived xenograft models of ovarian cancer. Scientific Reports. 15(1). 813–813. 2 indexed citations

Prizment, Anna E., Conghui Qu, Shuo Wang, et al.. (2025). Functional variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene are associated with increased risk of colorectal cancer. Human Molecular Genetics. 34(7). 617–625. 1 indexed citations

Yuan, Ce, Thomas Kaiser, Andrew C. Nelson, et al.. (2023). Fecal Microbiota Restoration Modulates the Microbiome in Inflammation-Driven Colorectal Cancer. Cancers. 15(8). 2260–2260. 14 indexed citations

Chang, Zenas, et al.. (2021). Single-Cell RNA Sequencing of Ovarian Cancer: Promises and Challenges. Advances in experimental medicine and biology. 1330. 113–123. 6 indexed citations

Law, Emily K., Rena Levin-Klein, Matthew C. Jarvis, et al.. (2020). APOBEC3A catalyzes mutation and drives carcinogenesis in vivo. The Journal of Experimental Medicine. 217(12). 83 indexed citations

Cepela, Jason, et al.. (2020). Use of “default” parameter settings when analyzing single cell RNA sequencing data using Seurat: a biologist’s perspective. 5 indexed citations

Skubitz, Amy P.N., Qing Cao, Timothy K. Starr, et al.. (2019). Simultaneous Measurement of 92 Serum Protein Biomarkers for the Development of a Multiprotein Classifier for Ovarian Cancer Detection. Cancer Prevention Research. 12(3). 171–184. 14 indexed citations

Desir, Snider, Phillip Wong, Thomas J. Turbyville, et al.. (2019). Intercellular Transfer of Oncogenic KRAS via Tunneling Nanotubes Introduces Intracellular Mutational Heterogeneity in Colon Cancer Cells. Cancers. 11(7). 892–892. 49 indexed citations

Kinzy, Tyler G., Timothy K. Starr, George C. Tseng, & Yen-Yi Ho. (2019). Meta-analytic framework for modeling genetic coexpression dynamics. Statistical Applications in Genetics and Molecular Biology. 18(1). 2 indexed citations

10.

Pomeroy, Emily J., John Hunzeker, Mitchell G. Kluesner, et al.. (2019). A Genetically Engineered Primary Human Natural Killer Cell Platform for Cancer Immunotherapy. Molecular Therapy. 28(1). 52–63. 139 indexed citations

11.

Rahrmann, Eric P., Natalie K. Wolf, George M. Otto, et al.. (2018). Sleeping Beauty Screen Identifies RREB1 and Other Genetic Drivers in Human B-cell Lymphoma. Molecular Cancer Research. 17(2). 567–582. 14 indexed citations

12.

Becker, Jordan R., David Gallo, Wendy Leung, et al.. (2018). Flap endonuclease overexpression drives genome instability and DNA damage hypersensitivity in a PCNA-dependent manner. Nucleic Acids Research. 46(11). 5634–5650. 30 indexed citations

13.

Clark, Christopher, Patrick Blaney, Sambhawa Priya, et al.. (2018). Transposon mutagenesis screen in mice identifies TM9SF2 as a novel colorectal cancer oncogene. Scientific Reports. 8(1). 15327–15327. 23 indexed citations

14.

Iizuka, Yoshie, Kevin Chen, Florian Schütz, et al.. (2017). UNC-45A is required for neurite extension via controlling NMII activation. Molecular Biology of the Cell. 28(10). 1337–1346. 9 indexed citations

15.

Linnekamp, Janneke F., Timothy K. Starr, David A. Largaespada, et al.. (2016). CFTR is a tumor suppressor gene in murine and human intestinal cancer. Oncogene. 35(32). 4191–4199. 137 indexed citations

16.

Dorr, Casey R., Madison T. Weg, Sean R. Landman, et al.. (2015). Transposon Mutagenesis Screen Identifies Potential Lung Cancer Drivers and CUL3 as a Tumor Suppressor. Molecular Cancer Research. 13(8). 1238–1247. 34 indexed citations

17.

Park, Sunho, Seung-Jun Kim, Donghyeon Yu, et al.. (2015). An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. Bioinformatics. 32(11). 1643–1651. 19 indexed citations

18.

Dupuy, Adam J., Laura M. Rogers, Jinsil Kim, et al.. (2009). A Modified Sleeping Beauty Transposon System That Can Be Used to Model a Wide Variety of Human Cancers in Mice. Cancer Research. 69(20). 8150–8156. 126 indexed citations

19.

Starr, Timothy K., et al.. (2003). Thymocyte Sensitivity and Supramolecular Activation Cluster Formation Are Developmentally Regulated: A Partial Role for Sialylation. The Journal of Immunology. 171(9). 4512–4520. 44 indexed citations

20.

Hogquist, Kristin A., Timothy K. Starr, & Stephen C. Jameson. (2003). Receptor Sensitivity: When T cells Lose Their Sense of Self. Current Biology. 13(6). R239–R241. 19 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.

Explore authors with similar magnitude of impact