Daniel Stein
Impact in
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- Food Allergy and Anaphylaxis Research
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- Clostridium difficile and Clostridium perfringens research
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Clostridium difficile and Clostridium perfringens research 6
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Brian W. Behm (2 shared papers)Kathleen M. Jagodnik (3 shared papers)Avi Ma’ayan (3 shared papers)Eryk Kropiwnicki (3 shared papers)Jingyan Yang (1 shared paper)Francis Lovecchio (1 shared paper)Bernard A. Rawlins (1 shared paper)Sravisht Iyer (1 shared paper)
- Journals
- Gastroenterology (4 papers)Inflammatory Bowel Diseases (1 paper)Clinical Infectious Diseases (1 paper)Molecular Physics (1 paper)Database (1 paper)
- Partner nations
- United StatesUnited Arab Emirates
In The Last Decade
Daniel Stein
14 papers receiving 253 citations
Peers
Comparison fields: 5 of 68
- Immunology and Allergy 17
- Infectious Diseases 49
- Gastroenterology 12
- Computational Theory and Mathematics 35
- Internal Medicine 6
Countries citing papers authored by Daniel Stein
This map shows the geographic impact of Daniel Stein'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 Daniel Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stein more than expected).
Fields of papers citing papers by Daniel Stein
This network shows the impact of papers produced by Daniel Stein. 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 Daniel Stein. The network helps show where Daniel Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stein, 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 | 2019 | 97 | |
| 2 | 2020 | 49 | |
| 3 | 2017 | 28 | |
| 4 | 2021 | 17 | |
| 5 | 2017 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2021 | 11 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2011 | 4 | |
| 11 | 2015 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2012 | 1 |
About Daniel Stein
Daniel Stein is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Computational Theory and Mathematics and Surgery, having authored 14 papers that have together received 256 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (6 papers), Computational Drug Discovery Methods (3 papers), Microscopic Colitis (2 papers), Diagnosis and treatment of tuberculosis (1 paper), Allergic Rhinitis and Sensitization (1 paper), Contact Dermatitis and Allergies (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Material Dynamics and Properties (1 paper). The work is most often cited by research in Immunology and Allergy (17 citations), Infectious Diseases (49 citations), Gastroenterology (12 citations), Computational Theory and Mathematics (35 citations) and Internal Medicine (6 citations). Daniel Stein has collaborated with scholars based in United States and United Arab Emirates. Frequent co-authors include Brian W. Behm, Kathleen M. Jagodnik, Avi Ma’ayan, Eryk Kropiwnicki, Jingyan Yang, Francis Lovecchio, Bernard A. Rawlins, Sravisht Iyer, Benjamin Khechen and Darren R. Lebl. Their work appears in journals such as Gastroenterology, Inflammatory Bowel Diseases, Clinical Infectious Diseases, Molecular Physics and Database.
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.