Daniel J. Stein
Impact in
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- Food Allergy and Anaphylaxis Research
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- SARS-CoV-2 and COVID-19 Research
- Clostridium difficile and Clostridium perfringens research
- COVID-19 Clinical Research Studies
Papers in
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- Clostridium difficile and Clostridium perfringens research 5
- Tuberculosis Research and Epidemiology 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Brian W. Behm (2 shared papers)Avi Ma’ayan (3 shared papers)Kathleen M. Jagodnik (3 shared papers)Eryk Kropiwnicki (3 shared papers)Maxim V. Kuleshov (2 shared papers)Darren R. Lebl (1 shared paper)Virginie Lafage (1 shared paper)Jingyan Yang (1 shared paper)
- Journals
- Patterns (2 papers)Inflammatory Bowel Diseases (2 papers)Clinical Infectious Diseases (1 paper)Clinical Spine Surgery A Spine Publication (1 paper)Molecular Physics (1 paper)
- Partner nations
- United StatesUnited Arab Emirates
In The Last Decade
Daniel J. Stein
13 papers receiving 353 citations
Peers
Comparison fields: 5 of 88
- Immunology and Allergy 19
- Infectious Diseases 56
- Computational Theory and Mathematics 43
- Internal Medicine 8
- Gastroenterology 11
Countries citing papers authored by Daniel J. Stein
This map shows the geographic impact of Daniel J. 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 J. 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 J. Stein more than expected).
Fields of papers citing papers by Daniel J. Stein
This network shows the impact of papers produced by Daniel J. 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 J. Stein. The network helps show where Daniel J. Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. 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 | 102 | |
| 2 | 2021 | 84 | |
| 3 | 2020 | 56 | |
| 4 | 2017 | 31 | |
| 5 | 2017 | 20 | |
| 6 | 2021 | 20 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2011 | 4 | |
| 12 | 2018 | 2 | |
| 13 | 2019 | 1 |
About Daniel J. Stein
Daniel J. Stein is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Critical Care and Intensive Care Medicine, Gastroenterology and Immunology and Allergy, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (5 papers), Computational Drug Discovery Methods (3 papers), CRISPR and Genetic Engineering (1 paper), Contact Dermatitis and Allergies (1 paper), Diagnosis and treatment of tuberculosis (1 paper), Material Dynamics and Properties (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Immunology and Allergy (19 citations), Infectious Diseases (56 citations), Computational Theory and Mathematics (43 citations), Internal Medicine (8 citations) and Gastroenterology (11 citations). Daniel J. Stein has collaborated with scholars based in United States and United Arab Emirates. Frequent co-authors include Brian W. Behm, Avi Ma’ayan, Kathleen M. Jagodnik, Eryk Kropiwnicki, Maxim V. Kuleshov, Darren R. Lebl, Virginie Lafage, Jingyan Yang, Han Jo Kim and Sravisht Iyer. Their work appears in journals such as Patterns, Inflammatory Bowel Diseases, Clinical Infectious Diseases, Clinical Spine Surgery A Spine Publication and Molecular Physics.
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.