Natalie Stein
Impact in
- Health Informatics top 5%
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- Mobile Health and mHealth Applications 3
-
- Protein purification and stability 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Kevin Brooks (1 shared paper)Ke Shuai (2 shared papers)Kelly A. Wong (2 shared papers)Hong Wu (2 shared papers)Paul W. Dempsey (1 shared paper)Bin Liu (1 shared paper)Sheldon Mink (1 shared paper)John H. Menkes (1 shared paper)
- Journals
- Molecular and Cellular Biology (1 paper)Human Brain Mapping (1 paper)New England Journal of Medicine (1 paper)Nature Immunology (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Natalie Stein
15 papers receiving 650 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 24
- Immunology 237
- Applied Psychology 43
- Oncology 151
- Cancer Research 75
Countries citing papers authored by Natalie Stein
This map shows the geographic impact of Natalie 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 Natalie Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Stein more than expected).
Fields of papers citing papers by Natalie Stein
This network shows the impact of papers produced by Natalie 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 Natalie Stein. The network helps show where Natalie Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie 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 | 2004 | 205 | |
| 2 | 2005 | 130 | |
| 3 | 2017 | 113 | |
| 4 | 1982 | 48 | |
| 5 | 1983 | 44 | |
| 6 | 1973 | 37 | |
| 7 | 2021 | 30 | |
| 8 | Public Health Nutrition | 2014 | 28 |
| 9 | 2022 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2022 | 7 | |
| 12 | 2009 | 2 | |
| 13 | 1995 | 2 | |
| 14 | 2008 | 1 | |
| 15 | 2017 | 1 |
About Natalie Stein
Natalie Stein is a scholar working on General Health Professions, Molecular Biology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 15 papers that have together received 676 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (3 papers), interferon and immune responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein purification and stability (1 paper), NF-κB Signaling Pathways (1 paper), Ubiquitin and proteasome pathways (1 paper), Technology Use by Older Adults (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Health Informatics (24 citations), Immunology (237 citations), Applied Psychology (43 citations), Oncology (151 citations) and Cancer Research (75 citations). Natalie Stein has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Kevin Brooks, Ke Shuai, Kelly A. Wong, Hong Wu, Paul W. Dempsey, Bin Liu, Sheldon Mink, John H. Menkes, W Müller-Ruchholtz and Richard C. Harmon. Their work appears in journals such as Molecular and Cellular Biology, Human Brain Mapping, New England Journal of Medicine, Nature Immunology and Journal of Clinical Pathology.
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.