Alexander Heifetz
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Spectroscopy top 5%
- Co-authors
- Philip C. BigginMatteo AldeghiMichael J. BodkinStefan KnappMike J. BodkinDmitri G. FedorovAndrea Townsend‐NicholsonMichelle Southey
- Topics
- Receptor Mechanisms and Signaling (29 papers)Computational Drug Discovery Methods (21 papers)Neuropeptides and Animal Physiology (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Physical Chemistry B
- Partner nations
- United KingdomJapanGermany
In The Last Decade
Alexander Heifetz
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.1k
- Computational Theory and Mathematics 563
- Cellular and Molecular Neuroscience 224
- Materials Chemistry 202
- Spectroscopy 154
Countries citing papers authored by Alexander Heifetz
This map shows the geographic impact of Alexander Heifetz'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 Alexander Heifetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Heifetz more than expected).
Fields of papers citing papers by Alexander Heifetz
This network shows the impact of papers produced by Alexander Heifetz. 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 Alexander Heifetz. The network helps show where Alexander Heifetz may publish in the future.
Co-authorship network of co-authors of Alexander Heifetz
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Heifetz. A scholar is included among the top collaborators of Alexander Heifetz 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 Alexander Heifetz. Alexander Heifetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 21 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 21 | |
| 20 | 110 |
About Alexander Heifetz
Alexander Heifetz is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (29 papers), Computational Drug Discovery Methods (21 papers) and Neuropeptides and Animal Physiology (14 papers). The work is most often cited by research in Computational Theory and Mathematics (563 citations), Molecular Biology (1.1k citations) and Cellular and Molecular Neuroscience (224 citations). Alexander Heifetz has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include Philip C. Biggin, Matteo Aldeghi, Michael J. Bodkin, Stefan Knapp, Mike J. Bodkin, Dmitri G. Fedorov, Andrea Townsend‐Nicholson, Michelle Southey, Iñaki Morao and Merav Fichman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Physical Chemistry B.
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.