Igor Bazov

1.8k citations
43 papers · 1.4k · h-index 23

Impact in

Papers in

    • Neuropeptides and Animal Physiology 16
    • Neurotransmitter Receptor Influence on Behavior 10
    • Neuroscience and Neuropharmacology Research 6
    • Receptor Mechanisms and Signaling 12
    • Epigenetics and DNA Methylation 4

Igor Bazov

43 papers receiving 1.3k citations

Peers

Igor Bazov
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 605
  • Biological Psychiatry 55
  • Behavioral Neuroscience 69
  • Neurology 151
  • Virology 75
Replace Junichi Kitanaka with:
Junichi Kitanaka Japan
Thierry Lesté-Lasserre France
Kosei Ojika Japan
Alejandra Bernardi United States
M. Silhol France
Cecilia Bull Sweden
Melissa J. Alldred United States
Meleik A. Hebert United States
Mirko Conti Italy
Katarzyna Kalita 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200899
2 200495
3 201194
4 201069
5 200766
6 201065
7 201164
8 200260
9 200359
10 200654
11 200653
12 201446
13 200941
14 200538
15 199934
16 201234
17 201431
18 200730
19 200930
20 201229

About Igor Bazov

Igor Bazov is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research, Cognitive Neuroscience and Genetics, having authored 43 papers that have together received 1.4k 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 (10 papers), Cancer Genomics and Diagnostics (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Epigenetics and DNA Methylation (4 papers), Memory and Neural Mechanisms (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (605 citations), Biological Psychiatry (55 citations), Behavioral Neuroscience (69 citations), Neurology (151 citations) and Virology (75 citations). Igor Bazov has collaborated with scholars based in Sweden, United States and Russia. Frequent co-authors include Georgy Bakalkin, Hiroyuki Watanabe, Tatjana Yakovleva, Kurt F. Hauser, Olga Kononenko, T. V. Yakovleva, Fred Nyberg, Malik Mumtaz Taqi, Э. А. Брага and Eugene R. Zabarovsky. Their work appears in journals such as Frontiers in Cellular Neuroscience, The FASEB Journal, Brain Research, PLoS ONE and Translational Psychiatry.

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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