Pascal G.P. Martin
- Biochemistry top 1%
- Lipid metabolism and biosynthesis 8
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 19
- RNA and protein synthesis mechanisms 6
- Cancer Research top 5%
- Nutrition and Dietetics top 2%
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- Cholesterol and Lipid Metabolism 8
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- Pharmacogenetics and Drug Metabolism 7
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- Adipose Tissue and Metabolism 7
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- Metabolism and Genetic Disorders 5
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Hervé GuillouAnders JacobssonDamir ZadravecThierry PineauSébastien DejeanFrédèric LasserrePhilippe BesseAlain Baccini
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Pascal G.P. Martin
74 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Biochemistry 341
- Health, Toxicology and Mutagenesis 519
- Molecular Biology 1.7k
- Cancer Research 375
- Nutrition and Dietetics 375
Countries citing papers authored by Pascal G.P. Martin
This map shows the geographic impact of Pascal G.P. 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 Pascal G.P. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal G.P. Martin more than expected).
Fields of papers citing papers by Pascal G.P. Martin
This network shows the impact of papers produced by Pascal G.P. 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 Pascal G.P. Martin. The network helps show where Pascal G.P. Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pascal G.P. Martin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 43 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 31 | |
| 7 | 2019 | 59 | |
| 8 | 2016 | 4 | |
| 9 | 2014 | 80 | |
| 10 | 2014 | 27 | |
| 11 | 2011 | 5 | |
| 12 | 2011 | 12 | |
| 13 | 2009 | 14 | |
| 14 | 2008 | 67 | |
| 15 | 2008 | 5 | |
| 16 | yaImpute: An R Package for kNN Imputation | 2007 | 1 |
| 17 | 2007 | 33 | |
| 18 | 2005 | 237 | |
| 19 | 2005 | 9 | |
| 20 | 2003 | 3 |
About Pascal G.P. Martin
Pascal G.P. Martin is a scholar working on Biochemistry, Pharmacology and Clinical Biochemistry, having authored 76 papers that have together received 3.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (19 papers), Cholesterol and Lipid Metabolism (8 papers), Lipid metabolism and biosynthesis (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Adipose Tissue and Metabolism (7 papers), RNA and protein synthesis mechanisms (6 papers), Metabolism and Genetic Disorders (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Biochemistry (341 citations), Health, Toxicology and Mutagenesis (519 citations) and Molecular Biology (1.7k citations). Pascal G.P. Martin has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Hervé Guillou, Anders Jacobsson, Damir Zadravec, Thierry Pineau, Sébastien Dejean, Frédèric Lasserre, Philippe Besse, Alain Baccini, Arnaud Polizzi and Ignacio González. Their work appears in journals such as Biochemical Pharmacology, PLoS ONE, Nature Communications, PPAR Research and Advances in experimental medicine and biology.
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.