Nikolai B. Fedorov

2.3k citations
28 papers · 1.9k indexed · 1 hit paper · h-index 14
Topics
Neuroscience and Neuropharmacology Research (16 papers)Receptor Mechanisms and Signaling (12 papers)Nicotinic Acetylcholine Receptors Study (12 papers)

In The Last Decade

Nikolai B. Fedorov

28 papers receiving 1.9k citations

Hit Papers

Autophosphorylation at Thr 286 of the α Calcium-Calmoduli...19982026200720161998250500750

Peers

Nikolai B. Fedorov
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 1.1k
  • Cognitive Neuroscience 484
  • Neurology 197
  • Physiology 185
Replace Ana V. Paternain with:
Ana V. Paternain Spain
Peter Blaesse Germany
Kate Prybylowski United States
Juliette Johnson United States
Steven A. Siegelbaum United States
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Thomas Behnisch China
Franco A. Taverna Canada
Robert C. Malenka United States
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Citations per field
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Citations per year

Countries citing papers authored by Nikolai B. Fedorov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolai B. Fedorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikolai B. Fedorov. 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 Nikolai B. Fedorov. The network helps show where Nikolai B. Fedorov may publish in the future.

Co-authorship network of co-authors of Nikolai B. Fedorov

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolai B. Fedorov. A scholar is included among the top collaborators of Nikolai B. Fedorov 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 Nikolai B. Fedorov. Nikolai B. Fedorov 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 5
2 13
3 8
4 5
5 13
6 6
7 86
8 7
9 29
10 1
11 80
12 233
13 112
14 78
15 4
16
3
17 70
18 64
19 9
20 6

About Nikolai B. Fedorov

Nikolai B. Fedorov is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (12 papers) and Nicotinic Acetylcholine Receptors Study (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (131 citations) and Cognitive Neuroscience (484 citations). Nikolai B. Fedorov has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alcino J. Silva, Karl-Peter Giese, Robert K. Filipkowski, Esther Choi, Ype Elgersma, Sami Ikonen, Ritchie E. Brown, Klaus G. Reymann, Johan F. Storm and Li‐Rong Shao. Their work appears in journals such as Science, Neuron and Current Biology.

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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