Patrick Martin

6.7k citations
128 papers · 5.5k · h-index 42

Impact in

Papers in

Patrick Martin

127 papers receiving 5.4k citations

Peers

Patrick Martin
Comparison fields: 5 of 138
  • Behavioral Neuroscience 209
  • Biological Psychiatry 118
  • Molecular Biology 3.1k
  • Cellular and Molecular Neuroscience 772
  • Cell Biology 558
Replace G. Schütz with:
G. Schütz Germany
Sheau Yu Hsu United States
Paul K. Brindle United States
Beth J. Hoffman United States
Andrew Bateman Canada
Donald Defranco United States
Kazuhiro Ikenaka Japan
Mario D. Galigniana Argentina
Grant R. MacGregor United States
K. C. Kent Lloyd United States
Patrick Martin relative to G. Schütz Germany G. Schütz's profile →
Citations per field
00.5×3.1×
G. Schütz · 1×
Citations per year

Countries citing papers authored by Patrick Martin

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006438
2 1995275
3 2002212
4 2000197
5 1984196
6 2009162
7 2014161
8 1989153
9 2001149
10 2003124
11 199399
12 200495
13 199093
14 201193
15 201793
16
Characterization of a paired box- and homeobox-containing quail gene (Pax-QNR) expressed in the neuroretina.
199292
17 199687
18 198486
19 200483
20 199279

About Patrick Martin

Patrick Martin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Behavioral Neuroscience and Genetics, having authored 128 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Receptor Mechanisms and Signaling (19 papers), Stress Responses and Cortisol (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Neuroendocrine regulation and behavior (9 papers), melanin and skin pigmentation (8 papers), Virus-based gene therapy research (7 papers) and Pharmacological Receptor Mechanisms and Effects (6 papers). The work is most often cited by research in Behavioral Neuroscience (209 citations), Biological Psychiatry (118 citations), Molecular Biology (3.1k citations), Cellular and Molecular Neuroscience (772 citations) and Cell Biology (558 citations). Patrick Martin has collaborated with scholars based in France, United States and Spain. Frequent co-authors include D. Stéhelin, Philippe Pognonec, Simon Saule, Ann Sutherland, Alain Puech, Kim E. Boulukos, Pierre Simon, Philippe Soubrié, A Puech and Isa M. Hussaini. Their work appears in journals such as European Journal of Pharmacology, Journal of Biological Chemistry, Oncogene, Psychopharmacology and Pharmacology Biochemistry and Behavior.

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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