Thomas S.K. Gilbert

968 total citations
16 papers, 373 citations indexed

About

Thomas S.K. Gilbert is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Thomas S.K. Gilbert has authored 16 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Genetics. Recurrent topics in Thomas S.K. Gilbert's work include Chronic Lymphocytic Leukemia Research (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer-related Molecular Pathways (3 papers). Thomas S.K. Gilbert is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer-related Molecular Pathways (3 papers). Thomas S.K. Gilbert collaborates with scholars based in United States, Australia and Denmark. Thomas S.K. Gilbert's co-authors include Lee M. Graves, Laura E. Herring, Michael P. East, Paul R. Graves, Hani Ashamalla, Nathaniel J. Moorman, Edwin J. Iwanowicz, Donald S. Karanewsky, Matthew R. Lockett and Andrew Hale and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Immunology.

In The Last Decade

Thomas S.K. Gilbert

16 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas S.K. Gilbert United States 12 265 104 54 46 33 16 373
Vasilisa Aksenova United States 13 425 1.6× 84 0.8× 88 1.6× 68 1.5× 30 0.9× 25 523
Anthony B. Mak Canada 9 316 1.2× 187 1.8× 59 1.1× 48 1.0× 23 0.7× 13 450
Ting-Yu Chang Taiwan 11 251 0.9× 86 0.8× 76 1.4× 24 0.5× 21 0.6× 17 332
А. А. Вартанян Russia 12 353 1.3× 126 1.2× 114 2.1× 32 0.7× 27 0.8× 29 455
Nadine Löschmann Germany 7 219 0.8× 187 1.8× 60 1.1× 46 1.0× 28 0.8× 8 349
Gloria Milani Italy 11 251 0.9× 69 0.7× 57 1.1× 42 0.9× 22 0.7× 16 420
Chu Myong Seong South Korea 12 360 1.4× 133 1.3× 51 0.9× 38 0.8× 26 0.8× 30 511
Mulu Geletu Canada 13 392 1.5× 188 1.8× 57 1.1× 79 1.7× 19 0.6× 35 534
Pravina Fernandez United States 4 514 1.9× 79 0.8× 43 0.8× 29 0.6× 23 0.7× 11 572
Ewa Stypulkowski United States 8 317 1.2× 99 1.0× 63 1.2× 125 2.7× 24 0.7× 9 465

Countries citing papers authored by Thomas S.K. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S.K. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S.K. Gilbert. 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 Thomas S.K. Gilbert. The network helps show where Thomas S.K. Gilbert may publish in the future.

Co-authorship network of co-authors of Thomas S.K. Gilbert

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

All Works

16 of 16 papers shown
1.
Song, Feifei, Thomas S.K. Gilbert, Lee M. Graves, et al.. (2025). A multi-kinase inhibitor screen identifies inhibitors preserving stem-cell-like chimeric antigen receptor T cells. Nature Immunology. 26(2). 279–293. 5 indexed citations
2.
Fritch, Ethan J., Thomas S.K. Gilbert, Carrow I. Wells, et al.. (2023). Investigation of the Host Kinome Response to Coronavirus Infection Reveals PI3K/mTOR Inhibitors as Betacoronavirus Antivirals. Journal of Proteome Research. 22(10). 3159–3177. 9 indexed citations
3.
Greer, Yoshimi Endo, Lídia Hernandez, Donna Voeller, et al.. (2022). Mitochondrial Matrix Protease ClpP Agonists Inhibit Cancer Stem Cell Function in Breast Cancer Cells by Disrupting Mitochondrial Homeostasis. Cancer Research Communications. 2(10). 1144–1161. 20 indexed citations
4.
Wass, Amanda B., Benjamin A. Krishna, Laura E. Herring, et al.. (2022). Cytomegalovirus US28 regulates cellular EphA2 to maintain viral latency. Science Advances. 8(43). eadd1168–eadd1168. 12 indexed citations
5.
Diehl, J. Nathaniel, Jennifer E. Klomp, Priya S. Hibshman, et al.. (2021). The KRAS-regulated kinome identifies WEE1 and ERK coinhibition as a potential therapeutic strategy in KRAS-mutant pancreatic cancer. Journal of Biological Chemistry. 297(5). 101335–101335. 21 indexed citations
6.
Grant, Gavin D., Michael P. East, Thomas S.K. Gilbert, et al.. (2020). Mass spectrometry–based selectivity profiling identifies a highly selective inhibitor of the kinase MELK that delays mitotic entry in cancer cells. Journal of Biological Chemistry. 295(8). 2359–2374. 16 indexed citations
7.
Blake, Devon R., Angelina V. Vaseva, Richard G. Hodge, et al.. (2019). Application of a MYC degradation screen identifies sensitivity to CDK9 inhibitors in KRAS-mutant pancreatic cancer. Science Signaling. 12(590). 49 indexed citations
8.
Zhang, Dehui�, Michael A. Stashko, Rebecca E. Parker, et al.. (2019). Data-Driven Construction of Antitumor Agents with Controlled Polypharmacology. Journal of the American Chemical Society. 141(39). 15700–15709. 14 indexed citations
9.
Graves, Paul R., Andrew Hale, Laura E. Herring, et al.. (2019). Mitochondrial Protease ClpP is a Target for the Anticancer Compounds ONC201 and Related Analogues. ACS Chemical Biology. 14(5). 1020–1029. 132 indexed citations
10.
Herring, Laura E., Lauren Haar, Thomas S.K. Gilbert, et al.. (2018). Dasatinib Is Preferentially Active in the Activated B-Cell Subtype of Diffuse Large B-Cell Lymphoma. Journal of Proteome Research. 18(1). 522–534. 6 indexed citations
11.
Lee, Benjamin, Michael P. East, Thomas S.K. Gilbert, et al.. (2018). Application of Integrated Drug Screening/Kinome Analysis to Identify Inhibitors of Gemcitabine-Resistant Pancreatic Cancer Cell Growth. SLAS DISCOVERY. 23(8). 850–861. 13 indexed citations
12.
Vaseva, Angelina V., Devon R. Blake, Thomas S.K. Gilbert, et al.. (2018). KRAS Suppression-Induced Degradation of MYC is Antagonized by a MEK5-ERK5 Compensatory Mechanism. SSRN Electronic Journal. 2 indexed citations
13.
East, Michael P., Laura E. Herring, Raymond Zhang, et al.. (2017). BIRC6 mediates imatinib resistance independently of Mcl-1. PLoS ONE. 12(5). e0177871–e0177871. 15 indexed citations
14.
Lenarcic, Erik M., Heather A. Vincent, Naim U. Rashid, et al.. (2017). Kinome Profiling Identifies Druggable Targets for Novel Human Cytomegalovirus (HCMV) Antivirals. Molecular & Cellular Proteomics. 16(4). S263–S276. 25 indexed citations
15.
Graves, Paul R., et al.. (2017). Ionizing radiation induces EphA2 S897 phosphorylation in a MEK/ERK/RSK-dependent manner. International Journal of Radiation Biology. 93(9). 929–936. 11 indexed citations
16.
Werth, Emily G., Evan W. McConnell, Thomas S.K. Gilbert, et al.. (2016). Probing the global kinome and phosphoproteome in Chlamydomonas reinhardtii via sequential enrichment and quantitative proteomics. The Plant Journal. 89(2). 416–426. 23 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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