M. Galvan

1.7k citations
33 papers · 1.5k indexed · h-index 18

Impact in

Papers in

M. Galvan

33 papers receiving 1.4k citations

Peers

M. Galvan
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 1.2k
  • Sensory Systems 142
  • Cognitive Neuroscience 295
  • Molecular Biology 934
  • Developmental Neuroscience 38
Replace Takashi Akasu with:
Takashi Akasu Japan
GL Westbrook United States
Takayuki Tokimasa Japan
Geraint Price United Kingdom
RA Nicoll United States
Masumi Inoue Japan
M.G. Lacey United Kingdom
Edgar T. Iwamoto United States
Árpád Mike Hungary
T.C. Cunnane United Kingdom
M. Galvan relative to Takashi Akasu Japan Takashi Akasu's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Galvan

Since Specialization
Citations

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

Fields of papers citing papers by M. Galvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982251
2 1983182
3 1984126
4
Voltage-dependent currents of vertebrate neurons and their role in membrane excitability.
1986100
5 199493
6 198589
7 198067
8 197760
9 197660
10 199259
11 198343
12 198039
13 197938
14 198237
15 198433
16 197932
17 198024
18 198618
19 198517
20 199016

About M. Galvan

M. Galvan is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Biological Psychiatry, Molecular Biology and Nutrition and Dietetics, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Olfactory and Sensory Function Studies (11 papers), Ion channel regulation and function (11 papers), Neuroscience and Neural Engineering (6 papers), Advanced Chemical Sensor Technologies (4 papers), Neurobiology and Insect Physiology Research (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and GABA and Rice Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Sensory Systems (142 citations), Cognitive Neuroscience (295 citations), Molecular Biology (934 citations) and Developmental Neuroscience (38 citations). M. Galvan has collaborated with scholars based in Germany, United Kingdom and Mexico. Frequent co-authors include Andrew Constanti, P. Grafe, David A. Brown, B. Gustafsson, Holger Wigström, Paul R. Adams, G. ten Bruggencate, Armin Stelzer, N. Traverse Slater and G.G.S. Collins. Their work appears in journals such as British Journal of Pharmacology, Pflügers Archiv - European Journal of Physiology, Naunyn-Schmiedeberg s Archives of Pharmacology, The Journal of Physiology and Experimental Neurology.

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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