Kenneth Tompkins

436 total citations
8 papers, 338 citations indexed

About

Kenneth Tompkins is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kenneth Tompkins has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kenneth Tompkins's work include FOXO transcription factor regulation (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Hormonal Regulation and Hypertension (2 papers). Kenneth Tompkins is often cited by papers focused on FOXO transcription factor regulation (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Hormonal Regulation and Hypertension (2 papers). Kenneth Tompkins collaborates with scholars based in United States. Kenneth Tompkins's co-authors include Ágnes Simonyi, Ronald J. Korthuis, Qun Wang, Grace Y. Sun, Albert Y. Sun, Andrew Thorburn, Katja Kiseljak‐Vassiliades, Margaret E. Wierman, Adwitiya Kar and Stacey M. Bagby and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and The FASEB Journal.

In The Last Decade

Kenneth Tompkins

8 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth Tompkins United States	5	105	94	86	68	48	8	338
Ju Hie Lee South Korea	8	124 1.2×	93 1.0×	78 0.9×	40 0.6×	71 1.5×	15	422
Elien Wouters Belgium	9	148 1.4×	120 1.3×	106 1.2×	45 0.7×	27 0.6×	10	380
Bor‐Ren Huang Taiwan	15	176 1.7×	71 0.8×	90 1.0×	42 0.6×	60 1.3×	25	460
Zhuqing Jin China	11	114 1.1×	99 1.1×	55 0.6×	25 0.4×	48 1.0×	19	334
Bei Pu China	6	154 1.5×	143 1.5×	79 0.9×	27 0.4×	45 0.9×	7	346
Ya Jie Meng China	10	179 1.7×	99 1.1×	78 0.9×	76 1.1×	86 1.8×	22	518
Dongming Hou China	6	221 2.1×	43 0.5×	76 0.9×	45 0.7×	57 1.2×	10	424
Luyao Ao China	13	177 1.7×	84 0.9×	37 0.4×	107 1.6×	36 0.8×	15	383
Yuanyuan Tu China	14	251 2.4×	61 0.6×	66 0.8×	32 0.5×	74 1.5×	23	511

Countries citing papers authored by Kenneth Tompkins

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth Tompkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Tompkins. 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 Kenneth Tompkins. The network helps show where Kenneth Tompkins may publish in the future.

Co-authorship network of co-authors of Kenneth Tompkins

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

All Works

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8 of 8 papers shown

Lang, Julie, Anna Capasso, Kimberly R. Jordan, et al.. (2019). Development of an Adrenocortical Cancer Humanized Mouse Model to Characterize Anti-PD1 Effects on Tumor Microenvironment. The Journal of Clinical Endocrinology & Metabolism. 105(1). 26–42. 45 indexed citations

Tompkins, Kenneth & Andrew Thorburn. (2019). Regulation of Apoptosis by Autophagy to Enhance Cancer Therapy.. PubMed. 92(4). 707–718. 50 indexed citations

Tompkins, Kenneth, Christina G. Towers, Adwitiya Kar, et al.. (2019). SAT-LB064 Mitotane Induces Autophagy: A Mechanism to Promote Chemoresistance in Adrenocortical Carcinoma. Journal of the Endocrine Society. 3(Supplement_1). 2 indexed citations

Kar, Adwitiya, Yu Zhang, Kenneth Tompkins, et al.. (2019). SUN-337 Anti-tumorigenic Effects Of The Maternal Leucine Zipper Kinase (MELK) Inhibitor, OTSSP167, In Pre-clinical In Vivo Models Of Adrenocortical Carcinomas (ACC). Journal of the Endocrine Society. 3(Supplement_1). 3 indexed citations

Kar, Adwitiya, Yu Zhang, Betelehem W. Yacob, et al.. (2019). Targeting PDZ-binding kinase is anti-tumorigenic in novel preclinical models of ACC. Endocrine Related Cancer. 26(10). 765–778. 19 indexed citations

Sams, Sharon B., Kenneth Tompkins, Sarah E. Mayson, Christopher D. Raeburn, & Sanjana Mehrotra. (2017). Oncocytic variant of medullary thyroid carcinoma; a rare tumor with numerous diagnostic mimics by fine needle aspiration. Diagnostic Cytopathology. 45(12). 1148–1152. 9 indexed citations

Wang, Qun, Anyang Sun, Ágnes Simonyi, et al.. (2007). Ethanol preconditioning protects against ischemia/reperfusion‐induced brain damage: Role of NADPH oxidase‐derived ROS. The FASEB Journal. 21(6). 3 indexed citations

Wang, Qun, Kenneth Tompkins, Ágnes Simonyi, et al.. (2006). Apocynin protects against global cerebral ischemia–reperfusion-induced oxidative stress and injury in the gerbil hippocampus. Brain Research. 1090(1). 182–189. 207 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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