Philippe Walker

3.4k citations
39 papers · 2.9k · h-index 24

Impact in

Papers in

Philippe Walker

38 papers receiving 2.8k citations

Peers

Philippe Walker
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 1.4k
  • Endocrine and Autonomic Systems 434
  • Reproductive Medicine 210
  • Physiology 121
  • Sensory Systems 121
Replace Thomas M. Laz with:
Thomas M. Laz United States
Manjula Mahata United States
B. Dufy France
R. Dimaline United Kingdom
Mariel Birnbaumer United States
Gary B. Willars United Kingdom
Philippe Brabet France
Roberta Possenti Italy
Gunnar Kleinau Germany
R.J. Lefkowitz United States
Philippe Walker relative to Thomas M. Laz United States Thomas M. Laz's profile →
Citations per field
00.5×1.5×
Thomas M. Laz · 1×
Citations per year

Countries citing papers authored by Philippe Walker

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002312
2 1999288
3 2000257
4 1984216
5 1999213
6 2001183
7 1986158
8 2000154
9 1998111
10 1991108
11 199688
12 199484
13 199682
14 200372
15 198258
16 199253
17 201849
18 199747
19 201742
20 198740

About Philippe Walker

Philippe Walker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics and Microbiology, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Receptor Mechanisms and Signaling (13 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Animal Genetics and Reproduction (5 papers), Antimicrobial Peptides and Activities (4 papers), Chemical Synthesis and Analysis (4 papers), Biochemical and Structural Characterization (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Endocrine and Autonomic Systems (434 citations), Reproductive Medicine (210 citations), Physiology (121 citations) and Sensory Systems (121 citations). Philippe Walker has collaborated with scholars based in Canada, Switzerland and United Kingdom. Frequent co-authors include Dajan O’Donnell, Claes Wahlestedt, Sultan Ahmad, André Laperrière, Michel Bouvier, Mireille Hogue, Ulla E. Petäjä‐Repo, Françoise Givel, Walter Wahli and Jacques‐Edouard Germond. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, The Journal of Comparative Neurology, Molecular and Cellular Endocrinology and Journal of Pain.

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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