Gal Bitan
- Physiology top 0.1%
- Alzheimer's disease research and treatments 92
- Biological Psychiatry top 1%
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 24
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 13
- Biomaterials top 0.5%
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- Protein Structure and Dynamics 31
- Prion Diseases and Protein Misfolding 25
- Chemical Synthesis and Analysis 9
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- Cholinesterase and Neurodegenerative Diseases 20
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- Cellular transport and secretion 8
- Co-authors
- David B. TeplowMarina KirkitadzeAleksey LomakinSabrina S. VollersGeorge B. BenedekMichael T. BowersJoan–Emma SheaSummer L. Bernstein
- Journals
- Biochemistry (9 papers)Journal of Biological Chemistry (8 papers)ACS Chemical Neuroscience (7 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Gal Bitan
127 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 6.3k
- Biological Psychiatry 306
- Computational Theory and Mathematics 1.7k
- Neurology 799
- Biomaterials 1.2k
Countries citing papers authored by Gal Bitan
This map shows the geographic impact of Gal Bitan'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 Gal Bitan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Bitan more than expected).
Fields of papers citing papers by Gal Bitan
This network shows the impact of papers produced by Gal Bitan. 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 Gal Bitan. The network helps show where Gal Bitan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gal Bitan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 61 | |
| 3 | 2021 | 9 | |
| 4 | 2019 | 25 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 13 | |
| 8 | 2017 | 45 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 48 | |
| 11 | 2016 | 23 | |
| 12 | 2016 | 62 | |
| 13 | 2013 | 20 | |
| 14 | 2012 | 78 | |
| 15 | 2012 | 62 | |
| 16 | 2012 | 36 | |
| 17 | 2011 | 35 | |
| 18 | 2009 | 56 | |
| 19 | 2005 | 192 | |
| 20 | 2002 | 494 |
About Gal Bitan
Gal Bitan is a scholar working on Physiology, Computational Theory and Mathematics, Pharmacology, Molecular Biology and Neurology, having authored 129 papers that have together received 9.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (92 papers), Protein Structure and Dynamics (31 papers), Prion Diseases and Protein Misfolding (25 papers), Computational Drug Discovery Methods (24 papers), Cholinesterase and Neurodegenerative Diseases (20 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Chemical Synthesis and Analysis (9 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Physiology (6.3k citations), Biological Psychiatry (306 citations), Computational Theory and Mathematics (1.7k citations), Neurology (799 citations) and Biomaterials (1.2k citations). Gal Bitan has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include David B. Teplow, Marina Kirkitadze, Aleksey Lomakin, Sabrina S. Vollers, George B. Benedek, Michael T. Bowers, Joan–Emma Shea, Summer L. Bernstein, Thomas Wyttenbach and Thomas Schräder. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, ACS Chemical Neuroscience, Journal of the American Chemical Society and Alzheimer s & Dementia.
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.