Igor F. Tsigelny
- Molecular Biology top 2%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Cancer Research top 5%
- Co-authors
- Valentina L. KouznetsovaPalmer TaylorEliezer MasliahSusan S. TaylorLynn F. Ten EyckTuula KallunkiGraham MooreRoger J. Davis
- Topics
- Computational Drug Discovery Methods (33 papers)Cholinesterase and Neurodegenerative Diseases (18 papers)Alzheimer's disease research and treatments (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesFranceBrazil
In The Last Decade
Igor F. Tsigelny
156 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.0k
- Oncology 807
- Cellular and Molecular Neuroscience 658
- Physiology 539
- Cancer Research 527
Countries citing papers authored by Igor F. Tsigelny
This map shows the geographic impact of Igor F. Tsigelny'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 Igor F. Tsigelny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor F. Tsigelny more than expected).
Fields of papers citing papers by Igor F. Tsigelny
This network shows the impact of papers produced by Igor F. Tsigelny. 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 Igor F. Tsigelny. The network helps show where Igor F. Tsigelny may publish in the future.
Co-authorship network of co-authors of Igor F. Tsigelny
This figure shows the co-authorship network connecting the top 25 collaborators of Igor F. Tsigelny. A scholar is included among the top collaborators of Igor F. Tsigelny 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 Igor F. Tsigelny. Igor F. Tsigelny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 196 | |
| 13 | 7 | |
| 14 | 19 | |
| 15 | 139 | |
| 16 | 0 | |
| 17 | 29 | |
| 18 | 41 | |
| 19 | 8 | |
| 20 | 19 |
About Igor F. Tsigelny
Igor F. Tsigelny is a scholar working on Computational Theory and Mathematics, Cancer Research and Molecular Biology, having authored 166 papers that have together received 5.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Cholinesterase and Neurodegenerative Diseases (18 papers) and Alzheimer's disease research and treatments (12 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cellular and Molecular Neuroscience (658 citations) and Cancer Research (527 citations). Igor F. Tsigelny has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Valentina L. Kouznetsova, Palmer Taylor, Eliezer Masliah, Susan S. Taylor, Lynn F. Ten Eyck, Tuula Kallunki, Graham Moore, Roger J. Davis, Hayla K. Sluss and Bing Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.