Alexei V. Egorov
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- Neuroscience and Neuropharmacology Research 25
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms 13
- Neural dynamics and brain function 10
- Sensory Systems top 2%
- Developmental Neuroscience top 10%
- Behavioral Neuroscience top 10%
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- Receptor Mechanisms and Signaling 7
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- Stochastic processes and financial applications 6
- Financial Risk and Volatility Modeling 5
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- Monetary Policy and Economic Impact 5
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Angel A. AlonsoMichael E. HasselmoErik FransénBassam HamamAndreas DraguhnOliver von Bohlen und HalbachKlaus UnsickerHaitao Li
- Partner nations
- GermanyUnited StatesRussia
In The Last Decade
Alexei V. Egorov
36 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 1.1k
- Cognitive Neuroscience 968
- Sensory Systems 156
- Developmental Neuroscience 61
- Behavioral Neuroscience 49
Countries citing papers authored by Alexei V. Egorov
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
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
The 25 scholars most cited alongside Alexei V. Egorov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 16 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 21 | |
| 7 | 2014 | 80 | |
| 8 | 2014 | 13 | |
| 9 | 2012 | 60 | |
| 10 | 2009 | 38 | |
| 11 | 2009 | 53 | |
| 12 | 2006 | 63 | |
| 13 | 2006 | 206 | |
| 14 | 2005 | 48 | |
| 15 | 2003 | 22 | |
| 16 | 2002 | 9 | |
| 17 | 2002 | 16 | |
| 18 | Graded persistent activity in entorhinal cortex neuronsbreakdown → | 2002 | 588 |
| 19 | 1999 | 13 | |
| 20 | 1999 | 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), Neural dynamics and brain function (10 papers), Receptor Mechanisms and Signaling (7 papers), Stochastic processes and financial applications (6 papers), Monetary Policy and Economic Impact (5 papers), Financial Risk and Volatility Modeling (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 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.