Fe C. Abogadie

3.2k citations
37 papers · 2.9k · h-index 26

Impact in

Papers in

Fe C. Abogadie

37 papers receiving 2.8k citations

Peers

Fe C. Abogadie
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 1.4k
  • Sensory Systems 357
  • Molecular Biology 2.2k
  • Cardiology and Cardiovascular Medicine 572
  • Physiology 100
Replace Eitan Reuveny with:
Eitan Reuveny Israel
Jan R. de Weille France
Delphine Bichet France
Péter Enyedi Hungary
Thomas Baukrowitz Germany
Robert S. Slaughter United States
Miguel Salinas France
Reid J. Leonard United States
Matthias Sausbier Germany
Gábor Czirják Hungary
Fe C. Abogadie relative to Eitan Reuveny Israel Eitan Reuveny's profile →
Citations per field
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Eitan Reuveny · 1×
Citations per year

Countries citing papers authored by Fe C. Abogadie

Since Specialization
Citations

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

Fields of papers citing papers by Fe C. Abogadie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fe C. Abogadie. 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 Fe C. Abogadie. The network helps show where Fe C. Abogadie may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990478
2 2001363
3 2002231
4 2000152
5 2005143
6 2013130
7 1999122
8 2000117
9 199793
10 199785
11 200384
12 199875
13 199872
14 199870
15 200070
16 200667
17 201164
18 199962
19 200048
20 201245

About Fe C. Abogadie

Fe C. Abogadie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Sensory Systems and Physiology, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Receptor Mechanisms and Signaling (15 papers), Neuroscience and Neuropharmacology Research (14 papers), Cardiac electrophysiology and arrhythmias (9 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Ion Channels and Receptors (5 papers), Olfactory and Sensory Function Studies (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Sensory Systems (357 citations), Molecular Biology (2.2k citations), Cardiology and Cardiovascular Medicine (572 citations) and Physiology (100 citations). Fe C. Abogadie has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David A. Brown, Patrick Delmas, L. Tatulian, Noel J. Buckley, D.A. Brown, A. A. Selyanko, Baldomero M. Olivera, Lourdes J. Cruz, Jean Rivier and J. K. Hadley. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology, European Journal of Neuroscience, Journal of Biological Chemistry and British Journal of Pharmacology.

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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