Cliff Elcombe

2.6k citations
24 papers · 2.1k · h-index 14

Impact in

Papers in

Cliff Elcombe

24 papers receiving 2.0k citations

Peers

Cliff Elcombe
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 614
  • Environmental Chemistry 385
  • Hepatology 182
  • Cancer Research 341
  • Pharmacology 191
Replace Y Konishi with:
Y Konishi Japan
Anthony B. DeAngelo United States
John G. DeLuca United States
Barbara A. Hocevar United States
Shugo Suzuki Japan
Qian Yang China
Mirjam Luijten Netherlands
John F. Reichard United States
Antonio Rodríguez‐Ariza Spain
Rekha Mehta Canada
Cliff Elcombe relative to Y Konishi Japan Y Konishi's profile →
Citations per field
00.5×12×
Y Konishi · 1×
Citations per year

Countries citing papers authored by Cliff Elcombe

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Elcombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cliff Elcombe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cliff Elcombe Line = papers co-authored together Cliff Elcombe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008339
2 2003334
3 1999275
4 1994269
5 1993235
6 1998198
7 198677
8 198765
9 199052
10 199048
11 198738
12 199233
13 201328
14 198520
15 19969
16 19758
17 19907
18 19935
19 19985
20 19854

About Cliff Elcombe

Cliff Elcombe is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Pharmacology and Cancer Research, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Metabolism and Genetic Disorders (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Liver physiology and pathology (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Hemoglobin structure and function (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (614 citations), Environmental Chemistry (385 citations), Hepatology (182 citations), Cancer Research (341 citations) and Pharmacology (191 citations). Cliff Elcombe has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include B.M. Elliott, Brian G. Lake, Russell C. Cattley, Kris Hansen, Peter J. Thomford, Andrew M. Seacat, Sandra R. Eldridge, John L. Butenhoff, Jonathan Tugwood and P. Bentley. Their work appears in journals such as Toxicology, Carcinogenesis, Biochemical Pharmacology, Regulatory Toxicology and Pharmacology and Archives of Toxicology.

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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