Don Siess
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Cytomegalovirus and herpesvirus research 5
- Herpesvirus Infections and Treatments 4
-
- Viral Infectious Diseases and Gene Expression in Insects 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Louis J. Picker (6 shared papers)Michael K. Axthelm (6 shared papers)Michael A. Jarvis (4 shared papers)Scott G. Hansen (4 shared papers)Jay A. Nelson (4 shared papers)Michael Piatak (4 shared papers)Jeffrey D. Lifson (4 shared papers)Alfred W. Legasse (4 shared papers)
- Journals
- Nature Medicine (3 papers)Journal of Virology (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Don Siess
13 papers receiving 1.2k citations
Don Siess's Hit Papers
Peers
Comparison fields: 5 of 67
- Virology 573
- Immunology 630
- Epidemiology 493
- Infectious Diseases 237
- Parasitology 58
Countries citing papers authored by Don Siess
This map shows the geographic impact of Don Siess'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 Don Siess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Siess more than expected).
Fields of papers citing papers by Don Siess
This network shows the impact of papers produced by Don Siess. 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 Don Siess. The network helps show where Don Siess may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Siess, 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 | Effector memory T cell responses are associated with protection of rhesus monkeys from mucosal simian immunodeficiency virus challenge Hit paper breakdown → | 2009 | 527 |
| 2 | 2004 | 255 | |
| 3 | 2010 | 208 | |
| 4 | 2011 | 51 | |
| 5 | 2000 | 42 | |
| 6 | 1996 | 40 | |
| 7 | 1995 | 36 | |
| 8 | 1995 | 32 | |
| 9 | 2013 | 25 | |
| 10 | 2001 | 5 | |
| 11 | 2011 | 3 | |
| 12 | Characterization of the bovine receptor(s) for interleukin-2. | 1989 | 3 |
| 13 | 2009 | 2 |
About Don Siess
Don Siess is a scholar working on Epidemiology, Molecular Biology, Virology, Immunology and Genetics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), HIV Research and Treatment (5 papers), Herpesvirus Infections and Treatments (4 papers), Immune Cell Function and Interaction (4 papers), Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Virology (573 citations), Immunology (630 citations), Epidemiology (493 citations), Infectious Diseases (237 citations) and Parasitology (58 citations). Don Siess has collaborated with scholars based in United States and Germany. Frequent co-authors include Louis J. Picker, Michael K. Axthelm, Michael A. Jarvis, Scott G. Hansen, Jay A. Nelson, Michael Piatak, Jeffrey D. Lifson, Alfred W. Legasse, Kelli Oswald and Derek D. Drummond. Their work appears in journals such as Nature Medicine, Journal of Virology, Journal of Biological Chemistry, The Journal of Immunology and The Journal of Experimental Medicine.
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.