Nikolai Chub
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cell Biology top 5%
- Cognitive Neuroscience top 10%
- Developmental Neuroscience top 5%
- Co-authors
- Michael J. O’DonovanPeter WennerCarlos Gonzalez‐IslasGeorge Z. MentisJoël TabakJohn RinzelAmy M. RitterEvelyne Sernagor
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Zebrafish Biomedical Research Applications (9 papers)Ion channel regulation and function (6 papers)
- Journals
- Journal of NeuroscienceJournal of NeurophysiologyAnnals of the New York Academy of Sciences
- Partner nations
- United StatesJapanFrance
In The Last Decade
Nikolai Chub
19 papers receiving 804 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 608
- Molecular Biology 308
- Cell Biology 264
- Cognitive Neuroscience 243
- Developmental Neuroscience 135
Countries citing papers authored by Nikolai Chub
This map shows the geographic impact of Nikolai Chub'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 Chub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolai Chub more than expected).
Fields of papers citing papers by Nikolai Chub
This network shows the impact of papers produced by Nikolai Chub. 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 Chub. The network helps show where Nikolai Chub may publish in the future.
Co-authorship network of co-authors of Nikolai Chub
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolai Chub. A scholar is included among the top collaborators of Nikolai Chub 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 Chub. Nikolai Chub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 58 | |
| 3 | 28 | |
| 4 | 18 | |
| 5 | 27 | |
| 6 | 35 | |
| 7 | 59 | |
| 8 | 52 | |
| 9 | 35 | |
| 10 | 69 | |
| 11 | 15 | |
| 12 | 9 | |
| 13 | 90 | |
| 14 | 146 | |
| 15 | 56 | |
| 16 | 49 | |
| 17 | 60 | |
| 18 | 1 | |
| 19 | 3 |
About Nikolai Chub
Nikolai Chub is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cell Biology, having authored 19 papers that have together received 815 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Zebrafish Biomedical Research Applications (9 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (608 citations), Developmental Neuroscience (135 citations) and Cell Biology (264 citations). Nikolai Chub has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Michael J. O’Donovan, Peter Wenner, Carlos Gonzalez‐Islas, George Z. Mentis, Joël Tabak, John Rinzel, Amy M. Ritter, Evelyne Sernagor, Agnès Bonnot and M. J. Donovan. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and Annals of the New York Academy of Sciences.
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.