Igor Medina

4.7k citations
59 papers · 3.5k indexed · h-index 31

Impact in

Papers in

Igor Medina

58 papers receiving 3.5k citations

Peers

Igor Medina
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 2.4k
  • Developmental Neuroscience 422
  • Neurology 334
  • Cognitive Neuroscience 581
  • Molecular Biology 2.0k
Replace Geoffrey G. Murphy with:
Geoffrey G. Murphy United States
R. Anne McKinney Canada
Haruyuki Kamiya Japan
Tomi Taira Finland
Charles K. Meshul United States
Akiva S. Cohen United States
Andrés Barría United States
Christiane Pagès France
Ayako M. Watabe Japan
Tania Vitalis France
Igor Medina relative to Geoffrey G. Murphy United States Geoffrey G. Murphy's profile →
Citations per field
00.5×1.5×
Geoffrey G. Murphy · 1×
Citations per year

Countries citing papers authored by Igor Medina

Since Specialization
Citations

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

Fields of papers citing papers by Igor Medina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20244
3 20218
4 202170
5 20208
6 202017
7 201940
8 201819
9 201880
10 201737
11 201321
12 201046
13 2009119
14 2008100
15 20088
16 2004228
17 199922
18 1998158
19 199871
20 1997125

About Igor Medina

Igor Medina is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 59 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Ion channel regulation and function (28 papers), Receptor Mechanisms and Signaling (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Photoreceptor and optogenetics research (6 papers), Nerve injury and regeneration (6 papers), Memory and Neural Mechanisms (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Developmental Neuroscience (422 citations), Neurology (334 citations), Cognitive Neuroscience (581 citations) and Molecular Biology (2.0k citations). Igor Medina has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Yehezkel Ben‐Ari, Christophe Pellegrino, Grigory Krapivinsky, David E. Clapham, Luba Krapivinsky, Xavier Leinekugel, Ilgam Khalilov, Anton Ivanov, Roustem Khazipov and Pìotr Bregestovski. Their work appears in journals such as The Journal of Physiology, Neuron, European Journal of Neuroscience, Science Signaling and Frontiers in Cellular Neuroscience.

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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