Guy Martin

2.0k total citations
69 papers, 1.5k citations indexed

About

Guy Martin is a scholar working on Clinical Biochemistry, Molecular Biology and Physiology. According to data from OpenAlex, Guy Martin has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Clinical Biochemistry, 23 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Guy Martin's work include Metabolism and Genetic Disorders (19 papers), Diet and metabolism studies (9 papers) and Amino Acid Enzymes and Metabolism (7 papers). Guy Martin is often cited by papers focused on Metabolism and Genetic Disorders (19 papers), Diet and metabolism studies (9 papers) and Amino Acid Enzymes and Metabolism (7 papers). Guy Martin collaborates with scholars based in France, Cambodia and United States. Guy Martin's co-authors include Shu Abe, Pamela Gehron Robey, Lance A. Liotta, Gabriel Baverel, Pierre Boulanger, Jean-Claude D'Halluin, René Courcol, Gérard Torpier, Douglas Grahn and Ermona B. McGoodwin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Guy Martin

63 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy Martin France 20 653 373 255 217 186 69 1.5k
Eun Young Choi South Korea 21 660 1.0× 97 0.3× 213 0.8× 212 1.0× 253 1.4× 55 2.0k
Min‐Fu Tsan United States 21 723 1.1× 102 0.3× 141 0.6× 130 0.6× 73 0.4× 38 2.1k
Luis Biempica United States 27 882 1.4× 217 0.6× 478 1.9× 185 0.9× 95 0.5× 58 2.9k
J Menzel Austria 19 495 0.8× 196 0.5× 191 0.7× 139 0.6× 69 0.4× 84 1.6k
Madeline Murphy Ireland 26 1.5k 2.4× 591 1.6× 107 0.4× 254 1.2× 168 0.9× 54 2.7k
Jeehee Youn South Korea 32 780 1.2× 231 0.6× 329 1.3× 203 0.9× 26 0.1× 86 2.5k
Anders Bredberg Sweden 30 1.3k 1.9× 410 1.1× 406 1.6× 374 1.7× 42 0.2× 91 2.9k
Wayne L. Ryan United States 18 727 1.1× 138 0.4× 149 0.6× 303 1.4× 106 0.6× 64 1.5k
Kouhei Yamashita Japan 26 648 1.0× 160 0.4× 366 1.4× 118 0.5× 43 0.2× 129 2.5k
Stephen Clark United Kingdom 17 772 1.2× 250 0.7× 164 0.6× 89 0.4× 26 0.1× 25 2.7k

Countries citing papers authored by Guy Martin

Since Specialization
Citations

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

Fields of papers citing papers by Guy Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Martin. A scholar is included among the top collaborators of Guy Martin 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 Guy Martin. Guy Martin 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.
Baverel, Gabriel, et al.. (2017). Protocols and Applications of Cellular Metabolomics in Safety Studies Using Precision-Cut Tissue Slices and Carbon 13 NMR. Methods in molecular biology. 259–279. 1 indexed citations
2.
Martin, Guy, et al.. (2015). Validation of a score for the early diagnosis of anastomotic leakage following elective colorectal surgery. Journal of Visceral Surgery. 152(1). 5–10. 19 indexed citations
3.
Durozard, Daniel, Guy Martin, & Gabriel Baverel. (2015). Valproate-Induced Alterations of Coenzyme A and Coenzyme A Ester Concentrations in Human Kidney Tubules Metabolizing Glutamine1. Contributions to nephrology. 92. 103–108. 1 indexed citations
4.
Baverel, Gabriel, et al.. (2012). Use of precision-cut renal cortical slices in nephrotoxicity studies. Xenobiotica. 43(1). 54–62. 9 indexed citations
5.
Ferrier, Bernard, et al.. (2011). Rat brain slices oxidize glucose at high rates: A 13C NMR study. Neurochemistry International. 59(8). 1145–1154. 8 indexed citations
6.
Baverel, Gabriel, et al.. (2011). Effects of valproate on glutamate metabolism in rat brain slices: A 13C NMR study. Epilepsy Research. 99(1-2). 94–100. 13 indexed citations
7.
Baverel, Gabriel, et al.. (2010). Protocols and Applications of Cellular Metabolomics in Safety Studies Using Precision-Cut Tissue Slices and Carbon 13 NMR. Methods in molecular biology. 1641. 205–225.
8.
Conjard‐Duplany, Agnès, et al.. (2010). Cadmium chloride inhibits lactate gluconeogenesis in isolated human renal proximal tubules: a cellular metabolomic approach with 13C-NMR. Archives of Toxicology. 85(9). 1067–1077. 13 indexed citations
9.
Mégnin-Chanet, Frédérique, et al.. (1997). The Increase in Glutamine Synthesis from Glucose Caused by Ammonium Chloride in Rabbit Kidney Tubules Does Not Involve an Increase in Citrate Synthesis. Contributions to nephrology. 121. 19–24. 1 indexed citations
10.
Mégnin-Chanet, Frédérique, et al.. (1997). The Rabbit Kidney Tubule Simultaneously Degrades and Synthesizes Glutamate. Journal of Biological Chemistry. 272(8). 4705–4716. 22 indexed citations
11.
Martin, Guy, et al.. (1997). Model Applicable to NMR Studies for Calculating Flux Rates in Five Cycles Involved in Glutamate Metabolism. Journal of Biological Chemistry. 272(8). 4717–4728. 12 indexed citations
12.
Martin, Guy, Bernard Ferrier, Marielle Martin, et al.. (1996). Advantages and limitations of the use of isolated kidney tubules in pharmacotoxicology. Cell Biology and Toxicology. 12(4-6). 283–287. 5 indexed citations
13.
Martin, Guy, et al.. (1995). Subdue solids in towers. Chemical engineering progress. 91(1). 64–73. 3 indexed citations
14.
Martin, Guy, et al.. (1994). Understand vacuum system fundamentals. Hydrocarbon processing. 73(10). 91–98. 4 indexed citations
15.
Courcol, René, M Pinkas, & Guy Martin. (1989). A seven year survey of antibiotic susceptibility and its relationship with usage. Journal of Antimicrobial Chemotherapy. 23(3). 441–451. 47 indexed citations
16.
Martin, Guy, et al.. (1989). Stimulation of glutamine metabolism by the antiepileptic drug, sodium valproate, in isolated dog kidney tubules. Biochemical Pharmacology. 38(22). 3947–3952. 6 indexed citations
17.
Courcol, René, et al.. (1989). Influence of blood carbon dioxide pressure on growth index values in non-radiometric Bactec vials. European Journal of Clinical Microbiology & Infectious Diseases. 8(5). 400–401. 3 indexed citations
18.
Courcol, René, et al.. (1982). Quantitative Bacteriological Analysis of Amniotic Fluid. Neonatology. 42(3-4). 166–173. 18 indexed citations
19.
D'Halluin, Jean-Claude, et al.. (1978). Temperature-sensitive mutant of adenovirus type 2 blocked in virion assembly: accumulation of light intermediate particles. Journal of Virology. 26(2). 344–356. 71 indexed citations
20.
Smyth, Robert D., et al.. (1977). Comparative metabolism of fenclorac in rat, dog, monkey, and man.. Drug Metabolism and Disposition. 5(2). 122–131. 3 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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