Alexei V. Egorov

2.2k citations
36 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Neuroscience and Neuropharmacology Research (25 papers)Memory and Neural Mechanisms (13 papers)Neural dynamics and brain function (10 papers)

In The Last Decade

Alexei V. Egorov

36 papers receiving 1.6k citations

Hit Papers

Graded persistent activity in entorhinal cortex neurons20022026201020182002100200300400500

Peers

Alexei V. Egorov
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 1.1k
  • Cognitive Neuroscience 968
  • Molecular Biology 406
  • Sensory Systems 156
  • Finance 126
Replace Alexander Groh with:
Alexander Groh Germany
J. Alexander Heimel Netherlands
Rahul Srinivasan United States
Vladislav Volman United States
Asohan Amarasingham United States
Conny Kopp‐Scheinpflug Germany
Céline Vial France
Sadegh Nabavi Denmark
Martin Both Germany
Stephen Burton United Kingdom
Alexei V. Egorov relative to Alexander Groh Germany Alexander Groh's profile →
Citations per field
00.5×10×12.6×
Alexander Groh · 1×
Citations per year

Countries citing papers authored by Alexei V. Egorov

Since Specialization
Citations

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

Fields of papers citing papers by Alexei V. Egorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei V. Egorov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexei V. Egorov. A scholar is included among the top collaborators of Alexei V. Egorov 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 Alexei V. Egorov. Alexei V. Egorov 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
#WorkIndexed citations
1 2
2 5
3 7
4 16
5 26
6 21
7 80
8 13
9 60
10 38
11 53
12 63
13 206
14 48
15 22
16 9
17 16
18
Graded persistent activity in entorhinal cortex neuronsbreakdown →
588
19 13
20 47

About Alexei V. Egorov

Alexei V. Egorov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and General Economics, Econometrics and Finance, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Memory and Neural Mechanisms (13 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Cognitive Neuroscience (968 citations) and Sensory Systems (156 citations). Alexei V. Egorov has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Angel A. Alonso, Michael E. Hasselmo, Erik Fransén, Bassam Hamam, Andreas Draguhn, Oliver von Bohlen und Halbach, Klaus Unsicker, Haitao Li, Babak Tahvildari and Erik Fransén. Their work appears in journals such as Nature, Neuron and Journal of 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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