Shlomo Seidman
- Pharmacology top 0.2%
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Plant Science top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Hermona SoreqDaniela KauferAlon FriedmanH ZakutDalia GinzbergCatherine A. ProdyMirta GrifmanAverell Gnatt
- Topics
- Cholinesterase and Neurodegenerative Diseases (28 papers)Computational Drug Discovery Methods (17 papers)Insect Resistance and Genetics (5 papers)
- Partner nations
- IsraelGermanySwitzerland
In The Last Decade
Shlomo Seidman
33 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Pharmacology 1.8k
- Molecular Biology 1.3k
- Computational Theory and Mathematics 834
- Plant Science 527
- Cellular and Molecular Neuroscience 458
Countries citing papers authored by Shlomo Seidman
This map shows the geographic impact of Shlomo Seidman'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 Shlomo Seidman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shlomo Seidman more than expected).
Fields of papers citing papers by Shlomo Seidman
This network shows the impact of papers produced by Shlomo Seidman. 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 Shlomo Seidman. The network helps show where Shlomo Seidman may publish in the future.
Co-authorship network of co-authors of Shlomo Seidman
This figure shows the co-authorship network connecting the top 25 collaborators of Shlomo Seidman. A scholar is included among the top collaborators of Shlomo Seidman 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 Shlomo Seidman. Shlomo Seidman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 16 | |
| 3 | Acetylcholinesterase — new roles for an old actorbreakdown → | 1120 |
| 4 | 34 | |
| 5 | 51 | |
| 6 | 79 | |
| 7 | 15 | |
| 8 | Acute stress facilitates long-lasting changes in cholinergic gene expressionbreakdown → | 506 |
| 9 | 15 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 34 | |
| 13 | 64 | |
| 14 | 45 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | 63 | |
| 18 | 40 | |
| 19 | 11 | |
| 20 | 11 |
About Shlomo Seidman
Shlomo Seidman is a scholar working on Pharmacology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 33 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (28 papers), Computational Drug Discovery Methods (17 papers) and Insect Resistance and Genetics (5 papers). The work is most often cited by research in Pharmacology (1.8k citations), Computational Theory and Mathematics (834 citations) and Behavioral Neuroscience (110 citations). Shlomo Seidman has collaborated with scholars based in Israel, Germany and Switzerland. Frequent co-authors include Hermona Soreq, Daniela Kaufer, Alon Friedman, H Zakut, Dalia Ginzberg, Catherine A. Prody, Mirta Grifman, Averell Gnatt, Rina Timberg and Efrat Lev-Lehman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.