M. Pelhate

3.6k citations
88 papers · 3.2k · h-index 33

Impact in

Papers in

M. Pelhate

87 papers receiving 3k citations

Peers

M. Pelhate
Comparison fields: 5 of 70
  • Genetics 1.6k
  • Cellular and Molecular Neuroscience 493
  • Molecular Biology 1.4k
  • Oncology 243
  • Pharmacology 113
Replace Constantin E. Sekeris with:
Constantin E. Sekeris Germany
Hugues Schweitz France
Noam Zilberberg Israel
Samuel D. Robinson Australia
Frank Bosmans Belgium
Julita S. Imperial United States
Thomas A. Grigliatti Canada
Péter Maróy Hungary
Sandrine Cestèle France
Ming Ma China
M. Pelhate relative to Constantin E. Sekeris Germany Constantin E. Sekeris's profile →
Citations per field
00.5×2×4×6×8×9.3×
Constantin E. Sekeris · 1×
Citations per year

Countries citing papers authored by M. Pelhate

Since Specialization
Citations

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

Fields of papers citing papers by M. Pelhate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001291
2 1996169
3
Proceedings: Selective inhibition of potassium current in the giant axon of the cockroach.
1974159
4 1990157
5 1985141
6 1983106
7 199995
8 198293
9 199687
10 198983
11 198276
12 199571
13 198269
14 200064
15 200357
16 199156
17 199756
18 198050
19 200250
20 199949

About M. Pelhate

M. Pelhate is a scholar working on Genetics, Cellular and Molecular Neuroscience, Molecular Biology, Plant Science and Pharmacology, having authored 88 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (46 papers), Venomous Animal Envenomation and Studies (43 papers), Neurobiology and Insect Physiology Research (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Insect Resistance and Genetics (9 papers), Nicotinic Acetylcholine Receptors Study (9 papers), Pesticide Exposure and Toxicity (4 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Genetics (1.6k citations), Cellular and Molecular Neuroscience (493 citations), Molecular Biology (1.4k citations), Oncology (243 citations) and Pharmacology (113 citations). M. Pelhate has collaborated with scholars based in France, Israel and Poland. Frequent co-authors include Eliahu Zlotkin, Bruno Lapied, Bernard Hue, Dalia Gordon, David Barry Sattelle, Y. Pichon, Hervé Rochat, Stankiewicz Maria, Rym Ben Khalifa and Françoise Grolleau. Their work appears in journals such as Journal of Experimental Biology, Toxicon, Journal of Insect Physiology, Biochemistry and Pflügers Archiv - European Journal of Physiology.

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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