Nitsan Maharshak
- Gastroenterology top 1%
- Gastrointestinal motility and disorders 19
- Immunology top 5%
- Genetics top 2%
- Inflammatory Bowel Disease 49
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 19
- Biological Psychiatry top 10%
-
- Microscopic Colitis 34
- Autoimmune and Inflammatory Disorders 8
-
- Gut microbiota and health 24
-
- Eosinophilic Esophagitis 12
- Helicobacter pylori-related gastroenterology studies 10
- Co-authors
- Yehuda RingelNathaniel A. CohenScott E. PlevyR. Balfour SartorIris DotanIan M. CarrollShlomo BerlinerTamar Ringel‐Kulka
- Cited by
- GastroenterologyImmunologyGenetics
- Journals
- Journal of Biological Chemistry (1 paper)Nature Immunology (1 paper)The Journal of Immunology (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Nitsan Maharshak
123 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 120
- Gastroenterology 519
- Immunology 831
- Genetics 716
- Infectious Diseases 460
- Biological Psychiatry 59
Countries citing papers authored by Nitsan Maharshak
This map shows the geographic impact of Nitsan Maharshak'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 Nitsan Maharshak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitsan Maharshak more than expected).
Fields of papers citing papers by Nitsan Maharshak
This network shows the impact of papers produced by Nitsan Maharshak. 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 Nitsan Maharshak. The network helps show where Nitsan Maharshak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nitsan Maharshak, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 17 | |
| 15 | 2012 | 49 | |
| 16 | 2011 | 3 | |
| 17 | Applying an artificial neural network to warfarin maintenance dose prediction. | 2004 | 23 |
| 18 | 2002 | 1 | |
| 19 | 2001 | 41 | |
| 20 | 2000 | 32 |
About Nitsan Maharshak
Nitsan Maharshak is a scholar working on Gastroenterology, Genetics and Epidemiology, having authored 132 papers that have together received 3.5k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (49 papers), Microscopic Colitis (34 papers), Gut microbiota and health (24 papers), Gastrointestinal motility and disorders (19 papers), Clostridium difficile and Clostridium perfringens research (19 papers), Eosinophilic Esophagitis (12 papers), Helicobacter pylori-related gastroenterology studies (10 papers) and Autoimmune and Inflammatory Disorders (8 papers). The work is most often cited by research in Gastroenterology (519 citations), Immunology (831 citations) and Genetics (716 citations). Nitsan Maharshak has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yehuda Ringel, Nathaniel A. Cohen, Scott E. Plevy, R. Balfour Sartor, Iris Dotan, Ian M. Carroll, Shlomo Berliner, Tamar Ringel‐Kulka, Zamir Halpern and Idit Shachar. Their work appears in journals such as Journal of Biological Chemistry, Nature Immunology and The Journal of Immunology.
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.