Guy Martin

2.0k citations
69 papers · 1.5k · h-index 20

Impact in

Papers in

    • Metabolism and Genetic Disorders 19
    • Bacterial Identification and Susceptibility Testing 7
    • Metabolomics and Mass Spectrometry Studies 6
    • Ion Transport and Channel Regulation 6

Guy Martin

63 papers receiving 1.4k citations

Peers

Guy Martin
Comparison fields: 5 of 130
  • Clinical Biochemistry 186
  • Immunology and Allergy 126
  • Applied Microbiology and Biotechnology 34
  • Cancer Research 217
  • Genetics 373
Replace Kouhei Yamashita with:
Kouhei Yamashita Japan
Jae Hyang Lim South Korea
Robert Wilson United States
Eun Young Choi South Korea
Philip Warburton United Kingdom
J Menzel Austria
Katia Fettucciari Italy
Saskia van der Velden Netherlands
Luisa Morales‐Nebreda United States
Hana Holubec United States
Guy Martin relative to Kouhei Yamashita Japan Kouhei Yamashita's profile →
Citations per field
00.5×4.3×
Kouhei Yamashita · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Guy Martin, 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 Guy Martin Line = papers co-authored together Guy Martin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979364
2 197896
3 197783
4 199776
5 197871
6 198947
7 195845
8 197839
9 195836
10 199435
11 198031
12 197929
13 200128
14 198623
15 200423
16 199722
17 199122
18 201322
19 199022
20 200621

About Guy Martin

Guy Martin is a scholar working on Clinical Biochemistry, Molecular Biology, Physiology, Genetics and Biochemistry, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (19 papers), Diet and metabolism studies (9 papers), Pharmacological Effects and Toxicity Studies (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Amino Acid Enzymes and Metabolism (7 papers), Virus-based gene therapy research (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Ion Transport and Channel Regulation (6 papers). The work is most often cited by research in Clinical Biochemistry (186 citations), Immunology and Allergy (126 citations), Applied Microbiology and Biotechnology (34 citations), Cancer Research (217 citations) and Genetics (373 citations). Guy Martin has collaborated with scholars based in France, Cambodia and United States. Frequent co-authors include Pamela Gehron Robey, Shu Abe, Lance A. Liotta, Gabriel Baverel, Pierre Boulanger, Jean-Claude D'Halluin, René Courcol, Gérard Torpier, Ermona B. McGoodwin and Douglas Grahn. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Journal of Clinical Microbiology, Journal of Virology and Infection and Immunity.

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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