Cliff Elcombe

2.6k total citations
24 papers, 2.1k citations indexed

About

Cliff Elcombe is a scholar working on Molecular Biology, Oncology and Clinical Biochemistry. According to data from OpenAlex, Cliff Elcombe has authored 24 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Clinical Biochemistry. Recurrent topics in Cliff Elcombe's work include Peroxisome Proliferator-Activated Receptors (12 papers), Metabolism and Genetic Disorders (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Cliff Elcombe is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (12 papers), Metabolism and Genetic Disorders (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Cliff Elcombe collaborates with scholars based in United Kingdom, United States and Switzerland. Cliff Elcombe's co-authors include B.M. Elliott, Brian G. Lake, Russell C. Cattley, Sandra R. Eldridge, John L. Butenhoff, Andrew M. Seacat, Peter J. Thomford, Kris Hansen, Jonathan Tugwood and P. Bentley and has published in prestigious journals such as Biochemical Pharmacology, Stem Cells and Carcinogenesis.

In The Last Decade

Cliff Elcombe

24 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cliff Elcombe United Kingdom 14 1.1k 614 385 341 307 24 2.1k
John G. DeLuca United States 21 1.0k 0.9× 366 0.6× 140 0.4× 574 1.7× 294 1.0× 37 1.8k
Y Konishi Japan 18 556 0.5× 200 0.3× 160 0.4× 270 0.8× 237 0.8× 48 1.3k
Shugo Suzuki Japan 32 1.1k 1.0× 270 0.4× 234 0.6× 467 1.4× 342 1.1× 141 2.6k
Anthony B. DeAngelo United States 26 597 0.5× 1.0k 1.7× 116 0.3× 650 1.9× 210 0.7× 76 2.1k
Barbara A. Hocevar United States 21 2.0k 1.8× 267 0.4× 239 0.6× 353 1.0× 501 1.6× 32 3.2k
Qian Yang China 28 1.2k 1.1× 507 0.8× 483 1.3× 548 1.6× 297 1.0× 61 2.3k
Mirjam Luijten Netherlands 29 1.1k 1.0× 889 1.4× 365 0.9× 815 2.4× 206 0.7× 102 2.8k
Xing Cui China 23 929 0.9× 555 0.9× 727 1.9× 292 0.9× 343 1.1× 107 2.0k
Antonio Rodríguez‐Ariza Spain 33 1.2k 1.1× 599 1.0× 28 0.1× 551 1.6× 344 1.1× 86 3.1k
Rekha Mehta Canada 24 482 0.4× 224 0.4× 59 0.2× 170 0.5× 77 0.3× 54 1.5k

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-authorship network of co-authors of Cliff Elcombe

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

All Works

20 of 20 papers shown
1.
LeBaron, Matthew J., David R. Geter, Reza J. Rasoulpour, et al.. (2013). An integrated approach for prospectively investigating a mode-of-action for rodent liver effects. Toxicology and Applied Pharmacology. 270(2). 164–173. 28 indexed citations
2.
Hay, David C., Debiao Zhao, Judy Fletcher, et al.. (2008). Efficient Differentiation of Hepatocytes from Human Embryonic Stem Cells Exhibiting Markers Recapitulating Liver Development In Vivo. Stem Cells. 26(4). 894–902. 339 indexed citations
3.
Seacat, Andrew M., Peter J. Thomford, Kris Hansen, et al.. (2003). Sub-chronic dietary toxicity of potassium perfluorooctanesulfonate in rats. Toxicology. 183(1-3). 117–131. 334 indexed citations
4.
5.
Doull, John, Russell C. Cattley, Cliff Elcombe, et al.. (1999). A Cancer Risk Assessment of Di(2-ethylhexyl)phthalate: Application of the New U.S. EPA Risk Assessment Guidelines. Regulatory Toxicology and Pharmacology. 29(3). 327–357. 275 indexed citations
6.
Holden, Peter R., J. Odum, Anthony R. Soames, et al.. (1998). Immediate-Early Gene Expression during Regenerative and Mitogen-Induced Liver Growth in the Rat. Journal of Biochemical and Molecular Toxicology. 12(2). 79–82. 5 indexed citations
7.
Cattley, Russell C., John G. DeLuca, Cliff Elcombe, et al.. (1998). Do Peroxisome Proliferating Compounds Pose a Hepatocarcinogenic Hazard to Humans?. Regulatory Toxicology and Pharmacology. 27(1). 47–60. 198 indexed citations
8.
Simpson, Annemarie E.C.M., et al.. (1996). PLACENTAL TRANSFER OF THE HYPOLIPIDEMIC DRUG, CLOFIBRATE, INDUCES CYP4A EXPRESSION IN 18.5-DAY FETAL RATS. Drug Metabolism and Disposition. 24(5). 547–554. 9 indexed citations
9.
10.
Ashby, J., A.M. Brady, Cliff Elcombe, et al.. (1994). Mechanistically-based Human Hazard Assessment of Peroxisome Proliferator-induced Hepatocarcinogenesis. Human & Experimental Toxicology. 13(2_suppl). S1–S117. 269 indexed citations
11.
Grolier, Pascal & Cliff Elcombe. (1993). In vitro inhibition of carnitine acyltransferase activity in mitochondria from rat and mouse liver by a diethylhexylphthalate metabolite. Biochemical Pharmacology. 45(4). 827–832. 5 indexed citations
12.
Bentley, P., et al.. (1993). Hepatic peroxisome proliferation in rodents and its significance for humans. Food and Chemical Toxicology. 31(11). 857–907. 235 indexed citations
13.
Timbrell, John A., et al.. (1992). Proton NMR spectroscopic studies on the metabolism and biochemical effects of hydrazine in vivo. Archives of Toxicology. 66(7). 489–495. 33 indexed citations
14.
Milton, Mark, Cliff Elcombe, & G. Gordon Gibson. (1990). On the mechanism of induction of microsomal cytochrome P450IVA1 and peroxisome proliferation in rat liver by clofibrate. Biochemical Pharmacology. 40(12). 2727–2732. 52 indexed citations
15.
Nicholson, Jeremy K., et al.. (1990). Hepatotoxin-induced hypertaurinuria: a proton NMR study. Archives of Toxicology. 64(5). 407–411. 48 indexed citations
16.
Gibson, G. Gordon, Mark Milton, & Cliff Elcombe. (1990). Induction of cytochrome P-450 IVA 1-mediated fatty acid hydroxylation: relevance to peroxisome proliferation. Biochemical Society Transactions. 18(1). 97–99. 7 indexed citations
17.
Styles, J.A., et al.. (1987). A cytological comparison between regeneration, hyperplasia and early neoplasia in the rat liver. Carcinogenesis. 8(3). 391–399. 38 indexed citations
18.
Elliott, B.M. & Cliff Elcombe. (1987). Lack of DNA damage or lipid peroxidation measured in vivo in the rat liver following treatment with peroxisomal proliferators. Carcinogenesis. 8(9). 1213–1218. 65 indexed citations
19.
Mitchell, Angela M., Kevin Joseph, & Cliff Elcombe. (1985). Species Difference in Hepatic Peroxisome Proliferation. Human Toxicology. 4(5). 552–552. 4 indexed citations
20.
Elcombe, Cliff, H. Paul A. Illing, James Winfred Bridges, et al.. (1975). Measurement of Substrate-induced Oxygen Uptake during Microsomal Drug Oxidation using a Gold Micro-electrode. Xenobiotica. 5(3). 173–181. 8 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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