K. V. Anokhin

2.8k total citations
136 papers, 2.0k citations indexed

About

K. V. Anokhin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, K. V. Anokhin has authored 136 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cellular and Molecular Neuroscience, 47 papers in Cognitive Neuroscience and 29 papers in Biophysics. Recurrent topics in K. V. Anokhin's work include Memory and Neural Mechanisms (37 papers), Neuroscience and Neuropharmacology Research (31 papers) and Photoreceptor and optogenetics research (28 papers). K. V. Anokhin is often cited by papers focused on Memory and Neural Mechanisms (37 papers), Neuroscience and Neuropharmacology Research (31 papers) and Photoreceptor and optogenetics research (28 papers). K. V. Anokhin collaborates with scholars based in Russia, United States and United Kingdom. K. V. Anokhin's co-authors include Steven P. R. Rose, А. А. Тиунова, А. М. Желтиков, О. И. Ивашкина, A. B. Fedotov, Lyubov V. Amitonova, И. В. Федотов, Ilya V. Fedotov, Fedor V. Subach and Oleg Dolgov and has published in prestigious journals such as Nature, The Lancet and Nucleic Acids Research.

In The Last Decade

K. V. Anokhin

120 papers receiving 2.0k citations

Peers

K. V. Anokhin
Comparison fields: 5 of 150
  • Cellular and Molecular Neuroscience 727
  • Molecular Biology 552
  • Cognitive Neuroscience 434
  • Biophysics 307
  • Physiology 205
Replace Chihiro Yokoyama with:
Chihiro Yokoyama Japan
Yevgenia Kozorovitskiy United States
Benjamin L. Smarr United States
Jadwiga Rogowska United States
Gunther Helms Germany
Thomas Michaelis Germany
Helen Miller United States
Kurt Haas United States
Brian J. Nieman Canada
Matthias Eder Germany
Chihiro Yokoyama Japan View profile →
Citations per field, relative to K. V. Anokhin
K. V. Anokhin · 1×
Citations per year, relative to K. V. Anokhin
K. V. Anokhin · 1×

Countries citing papers authored by K. V. Anokhin

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Anokhin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Anokhin. 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 K. V. Anokhin. The network helps show where K. V. Anokhin may publish in the future.

Co-authorship network of co-authors of K. V. Anokhin

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Anokhin. A scholar is included among the top collaborators of K. V. Anokhin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. V. Anokhin. K. V. Anokhin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 4
6 2
7 5
8 45
9 20
10 6
11 2
12
A new design for a green calcium indicator with a smaller size and a reduced number of calcium-binding sites
1
13
Automatic segmentation of mouse behavior using hidden Markov model
1
14 77
15 3
16 37
17 3
18 3
19
Learning drives the accumulation of adaptive complexity in simulated evolution.
0
20 31

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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