Donna M. Hess
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
-
- Multiple Sclerosis Research Studies
Papers in
- Immunology 12
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 4
- Co-authors
- Susan L. KalledYing XuSusan R. SchwabHong‐Bing ShuJason G. CysterRobin LesleyTobias DerfußEdgar Meinl
- Journals
- Molecular Immunology (3 papers)Experimental Biology and Medicine (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Endocrinology (1 paper)Pediatric Diabetes (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Donna M. Hess
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Immunology 742
- Pathology and Forensic Medicine 232
- Rheumatology 177
- Neurology 81
- Radiology, Nuclear Medicine and Imaging 216
Countries citing papers authored by Donna M. Hess
This map shows the geographic impact of Donna M. Hess'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 Donna M. Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna M. Hess more than expected).
Fields of papers citing papers by Donna M. Hess
This network shows the impact of papers produced by Donna M. Hess. 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 Donna M. Hess. The network helps show where Donna M. Hess may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna M. Hess, 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 | 2011 | 2 | |
| 2 | 2008 | 16 | |
| 3 | 2006 | 52 | |
| 4 | 2005 | 385 | |
| 5 | 2005 | 117 | |
| 6 | 2004 | 13 | |
| 7 | 2004 | 39 | |
| 8 | 2004 | 445 | |
| 9 | 2003 | 4 | |
| 10 | 2002 | 10 | |
| 11 | 2002 | 11 | |
| 12 | 2001 | 8 | |
| 13 | 2000 | 32 | |
| 14 | 1998 | 24 | |
| 15 | Measurement of ferritin-bearing peripheral mononuclear blood cells in cancer patients by radioimmunoassay. | 1984 | 8 |
| 16 | 1983 | 89 | |
| 17 | 1980 | 1 | |
| 18 | 1979 | 1 | |
| 19 | 1979 | 2 | |
| 20 | 1968 | 3 |
About Donna M. Hess
Donna M. Hess is a scholar working on Immunology, Transplantation, Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Diabetes and associated disorders (4 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pancreatic function and diabetes (3 papers), Polyomavirus and related diseases (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Immunology (742 citations), Pathology and Forensic Medicine (232 citations), Rheumatology (177 citations), Neurology (81 citations) and Radiology, Nuclear Medicine and Imaging (216 citations). Donna M. Hess has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Susan L. Kalled, Ying Xu, Susan R. Schwab, Hong‐Bing Shu, Jason G. Cyster, Robin Lesley, Tobias Derfuß, Edgar Meinl, Camelia‐Maria Monoranu and Francesca Aloisi. Their work appears in journals such as Molecular Immunology, Experimental Biology and Medicine, Journal of Pharmacology and Experimental Therapeutics, Endocrinology and Pediatric Diabetes.
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.