Igor Bazov

1.8k citations
45 papers · 1.5k · h-index 23

Impact in

Papers in

    • Neuropeptides and Animal Physiology 16
    • Neurotransmitter Receptor Influence on Behavior 11
    • Neuroscience and Neuropharmacology Research 7
    • Receptor Mechanisms and Signaling 12
    • Peroxisome Proliferator-Activated Receptors 3

Igor Bazov

44 papers receiving 1.4k citations

Peers

Igor Bazov
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 648
  • Biological Psychiatry 65
  • Behavioral Neuroscience 77
  • Neurology 169
  • Virology 78
Replace Junichi Kitanaka with:
Junichi Kitanaka Japan
Alejandra Bernardi United States
Michèle Silhol France
Meleik A. Hebert United States
Melissa J. Alldred United States
Mirko Conti Sweden
Mariana M. Belcheva United States
Patrick L. Stemkowski Canada
Céline S. Nicolas France
Marcin Piechota Poland
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Citations per field
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Citations per year

Countries citing papers authored by Igor Bazov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Bazov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011106
2 2008104
3 200498
4 201084
5 200776
6 201069
7 201169
8 200261
9 200361
10 200655
11 200654
12 201445
13 200542
14 200941
15 201237
16 199934
17 200932
18 201431
19 201830
20 200730

About Igor Bazov

Igor Bazov is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (12 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (7 papers), Cancer Genomics and Diagnostics (5 papers), Memory and Neural Mechanisms (4 papers), Neuroendocrine regulation and behavior (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (648 citations), Biological Psychiatry (65 citations), Behavioral Neuroscience (77 citations), Neurology (169 citations) and Virology (78 citations). Igor Bazov has collaborated with scholars based in Sweden, United States and Russia. Frequent co-authors include Georgy Ya. Bakalkin, Hiroyuki Watanabe, Tatjana Yakovleva, Olga Kononenko, Kurt F. Hauser, Tatiana Victorovna Yakovleva, Fred Nyberg, Donna L. Sheedy, Daniil Sarkisyan and Malik Mumtaz Taqi. Their work appears in journals such as Frontiers in Cellular Neuroscience, The FASEB Journal, PLoS ONE, Brain Research and The American Journal of Human Genetics.

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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