Ken Thummel

457 total citations
10 papers, 337 citations indexed

About

Ken Thummel is a scholar working on Molecular Biology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Ken Thummel has authored 10 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Geriatrics and Gerontology and 2 papers in Oncology. Recurrent topics in Ken Thummel's work include Pancreatic and Hepatic Oncology Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Dementia and Cognitive Impairment Research (2 papers). Ken Thummel is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Dementia and Cognitive Impairment Research (2 papers). Ken Thummel collaborates with scholars based in United States, Australia and Poland. Ken Thummel's co-authors include Jonathan Himmelfarb, Karen L. Edwards, Yoshiyuki Yamaura, Zejing Wang, Brian D. Chapron, Bryan Kestenbaum, Eric R. Gamazon, Mark J. Rieder, Tammy L. Sirich and Nancy J. Cox and has published in prestigious journals such as The FASEB Journal, Journal of the American Society of Nephrology and Journal of the American Geriatrics Society.

In The Last Decade

Ken Thummel

10 papers receiving 329 citations

Peers

Ken Thummel

MB

GENET

PHARM

NEPHR

ONCOL

A. Şükrü Aynacıoğlu Türkiye

Marina Rousseau Canada

Rachel Sayer United Kingdom

Marchele Nowell United States

Takako Hirota Japan

Anita Markotić Croatia

Yosuke Ogura Japan

Kaleab Alemayehu Zewdie Ethiopia

Anna Vidal‐Alabró Spain

Kotoko Kosuge Japan

A. Şükrü Aynacıoğlu Türkiye

Ken Thummel

112 ×0.9

MB

33 ×0.4

GENET

35 ×0.7

PHARM

33 ×0.6

NEPHR

12 ×0.2

ONCOL

Citations per year, relative to Ken Thummel Ken Thummel (= 1×) peers A. Şükrü Aynacıoğlu

Countries citing papers authored by Ken Thummel

Since Specialization

Citations

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

Fields of papers citing papers by Ken Thummel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Thummel

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Thummel. A scholar is included among the top collaborators of Ken Thummel 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 Ken Thummel. Ken Thummel 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:

10 of 10 papers shown

1.

Cole, Allison, Kari A. Stephens, Imara I. West, et al.. (2018). Use of electronic health record data from diverse primary care practices to identify and characterize patients’ prescribed common medications. Health Informatics Journal. 26(1). 172–180. 2 indexed citations

2.

Heath, Laura, Shelly L. Gray, Denise M. Boudreau, et al.. (2018). Cumulative Antidepressant Use and Risk of Dementia in a Prospective Cohort Study. Journal of the American Geriatrics Society. 66(10). 1948–1955. 26 indexed citations

3.

Gray, Shelly L., Denise M. Boudreau, Karen L. Edwards, et al.. (2016). DT‐01‐03: Common Antidepressant Medications and Risk of Dementia: a Prospective Cohort Study. Alzheimer s & Dementia. 12(7S_Part_23). 3 indexed citations

4.

Yamaura, Yoshiyuki, Brian D. Chapron, Zejing Wang, Jonathan Himmelfarb, & Ken Thummel. (2015). Functional Comparison of Human Colonic Carcinoma Cell Lines and Primary Small Intestinal Epithelial Cells for Investigations of Intestinal Drug Permeability and First-Pass Metabolism. Drug Metabolism and Disposition. 44(3). 329–335. 47 indexed citations

5.

Suchy‐Dicey, Astrid M., Thomas J. Laha, Andrew N. Hoofnagle, et al.. (2015). Tubular Secretion in CKD. Journal of the American Society of Nephrology. 27(7). 2148–2155. 81 indexed citations

6.

Innocenti, Federico, Gregory M. Cooper, Ian B. Stanaway, et al.. (2011). Identification, Replication, and Functional Fine-Mapping of Expression Quantitative Trait Loci in Primary Human Liver Tissue. PLoS Genetics. 7(5). e1002078–e1002078. 134 indexed citations

7.

Balasubramanian, Poonkuzhali, Jatinder K. Lamba, Stephen C. Strom, et al.. (2009). Association of Breast Cancer Resistance Protein/ABCG2 Phenotypes and Novel Promoter and Intron 1 Single Nucleotide Polymorphisms. The FASEB Journal. 23(S1). 5 indexed citations

8.

Burke, Wylie, et al.. (2008). Cytochrome P450 Enzyme Polymorphism Frequency in Indigenous and Native American Populations: A Systematic Review. Public Health Genomics. 11(3). 141–149. 35 indexed citations

9.

Kharasch, E D, et al.. (1994). Clinical Enflurane Metabolism by Cytochrome P-450 2EI. Survey of Anesthesiology. 38(6). 315–315. 2 indexed citations

10.

Thummel, Ken, et al.. (1991). HUMAN LIVER VOLATILE ANESTHETIC DEFLUORINATION. Anesthesiology. 75(3). A350–A350. 2 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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