Baruch Velan
- Pharmacology top 0.1%
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Plant Science top 2%
- Organic Chemistry top 2%
- Co-authors
- Avigdor ShaffermanArie OrdentlichDov BarakNaomi ArielChanoch KronmanC. KronmanSara CohenMoshe Leitner
- Topics
- Cholinesterase and Neurodegenerative Diseases (54 papers)Computational Drug Discovery Methods (38 papers)Bacillus and Francisella bacterial research (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- IsraelUnited StatesPoland
In The Last Decade
Baruch Velan
115 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 125
- Pharmacology 2.5k
- Molecular Biology 2.2k
- Computational Theory and Mathematics 1.5k
- Plant Science 1.3k
- Organic Chemistry 765
Countries citing papers authored by Baruch Velan
This map shows the geographic impact of Baruch Velan'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 Baruch Velan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baruch Velan more than expected).
Fields of papers citing papers by Baruch Velan
This network shows the impact of papers produced by Baruch Velan. 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 Baruch Velan. The network helps show where Baruch Velan may publish in the future.
Co-authorship network of co-authors of Baruch Velan
This figure shows the co-authorship network connecting the top 25 collaborators of Baruch Velan. A scholar is included among the top collaborators of Baruch Velan 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 Baruch Velan. Baruch Velan 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 | 6 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 21 | |
| 6 | 10 | |
| 7 | The challenge of highly pathogenic microorganisms, mechanisms of virulence and novel medical countermeasures | 4 |
| 8 | 38 | |
| 9 | 29 | |
| 10 | 63 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | 23 | |
| 14 | 29 | |
| 15 | 263 | |
| 16 | 90 | |
| 17 | 104 | |
| 18 | 39 | |
| 19 | 0 | |
| 20 | 6 |
About Baruch Velan
Baruch Velan is a scholar working on Pharmacology, Computational Theory and Mathematics and Virology, having authored 116 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (54 papers), Computational Drug Discovery Methods (38 papers) and Bacillus and Francisella bacterial research (18 papers). The work is most often cited by research in Pharmacology (2.5k citations), Computational Theory and Mathematics (1.5k citations) and Virology (185 citations). Baruch Velan has collaborated with scholars based in Israel, United States and Poland. Frequent co-authors include Avigdor Shafferman, Arie Ordentlich, Dov Barak, Naomi Ariel, Chanoch Kronman, C. Kronman, Sara Cohen, Moshe Leitner, Yoffi Segall and Yehuda Flashner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.