Ivan Pavlov

2.4k citations
38 papers · 1.8k · h-index 24

Impact in

Papers in

Ivan Pavlov

37 papers receiving 1.8k citations

Peers

Ivan Pavlov
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 127
  • Cognitive Neuroscience 528
  • Neurology 220
  • Biological Psychiatry 41
Replace Alexander M. Kleschevnikov with:
Alexander M. Kleschevnikov United States
Melanie D. Mark Germany
Rebecca A. Piskorowski France
Tomás González‐Hernández Spain
Takaichi Fukuda Japan
Myoung‐Goo Kang United States
Lynn E. Dobrunz United States
Frank J.S. Lee Canada
Sari E. Lauri Finland
Andreas Frick France
Ivan Pavlov relative to Alexander M. Kleschevnikov United States Alexander M. Kleschevnikov's profile →
Citations per field
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Alexander M. Kleschevnikov · 1×
Citations per year

Countries citing papers authored by Ivan Pavlov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Pavlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016161
2 2002133
3 2013118
4 2013117
5 200796
6 200993
7 201185
8 201381
9 201870
10 201967
11 200264
12 201263
13 200762
14 201150
15 200350
16 201248
17 201145
18 201540
19 201238
20 201338

About Ivan Pavlov

Ivan Pavlov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (12 papers), Photoreceptor and optogenetics research (11 papers), Cardiomyopathy and Myosin Studies (7 papers), Muscle Physiology and Disorders (5 papers), Axon Guidance and Neuronal Signaling (5 papers), Muscle activation and electromyography studies (5 papers) and Proteoglycans and glycosaminoglycans research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (127 citations), Cognitive Neuroscience (528 citations), Neurology (220 citations) and Biological Psychiatry (41 citations). Ivan Pavlov has collaborated with scholars based in United Kingdom, Finland and Canada. Frequent co-authors include Matthew C. Walker, Dimitri M. Kullmann, Vincent Magloire, Alexey Semyanov, Tomi Taira, Dilson E. Rassier, Heikki Rauvala, Dmitri A. Rusakov, Leonid P. Savtchenko and Sari E. Lauri. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Molecular and Cellular Neuroscience, American Journal of Physiology-Cell Physiology and 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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