David N. Posnett
- Immunology top 0.5%
- T-cell and B-cell Immunology 49
- Immune Cell Function and Interaction 37
- Immunotherapy and Immune Responses 16
- Virology top 2%
- HIV Research and Treatment 10
- Physiology top 1%
- Immunology and Allergy top 2%
- Oncology top 5%
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- Monoclonal and Polyclonal Antibodies Research 34
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- Chronic Lymphocytic Leukemia Research 12
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- Cytomegalovirus and herpesvirus research 9
- Herpesvirus Infections and Treatments 7
- Co-authors
- James P. TamShara KabakC. RussoHelen McGrathAlice B. GottliebAndrew S. HodtsevPiroska E. SzabóSteven Friedman
- Cited by
- ImmunologyVirologyPhysiology
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
David N. Posnett
94 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 3.4k
- Virology 402
- Physiology 221
- Immunology and Allergy 255
- Oncology 967
Countries citing papers authored by David N. Posnett
This map shows the geographic impact of David N. Posnett'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 David N. Posnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. Posnett more than expected).
Fields of papers citing papers by David N. Posnett
This network shows the impact of papers produced by David N. Posnett. 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 David N. Posnett. The network helps show where David N. Posnett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David N. Posnett, 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 | 2005 | 6 | |
| 2 | 2004 | 18 | |
| 3 | 2001 | 22 | |
| 4 | EBV gene expression not altered in rheumatoid synovia despite the presence of EBV antigen-specific T cell clones. | 1999 | 35 |
| 5 | 1997 | 324 | |
| 6 | 1997 | 33 | |
| 7 | 1996 | 194 | |
| 8 | 1996 | 14 | |
| 9 | Clonal populations of T cells in normal elderly humans: the T cell equivalent to "benign monoclonal gammapathy".breakdown → | 1994 | 661 |
| 10 | 1994 | 69 | |
| 11 | 1993 | 6 | |
| 12 | 1991 | 148 | |
| 13 | 1991 | 46 | |
| 14 | 1990 | 82 | |
| 15 | 1988 | 206 | |
| 16 | 1988 | 24 | |
| 17 | 1988 | 40 | |
| 18 | 1986 | 22 | |
| 19 | 1985 | 64 | |
| 20 | 1984 | 26 |
About David N. Posnett
David N. Posnett is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 5.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (49 papers), Immune Cell Function and Interaction (37 papers), Monoclonal and Polyclonal Antibodies Research (34 papers), Immunotherapy and Immune Responses (16 papers), Chronic Lymphocytic Leukemia Research (12 papers), HIV Research and Treatment (10 papers), Cytomegalovirus and herpesvirus research (9 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Immunology (3.4k citations), Virology (402 citations) and Physiology (221 citations). David N. Posnett has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include James P. Tam, Shara Kabak, C. Russo, Helen McGrath, Alice B. Gottlieb, Andrew S. Hodtsev, Piroska E. Szabó, Steven Friedman, Yongwon Choi and Robert D. Bigler. Their work appears in journals such as Nature, Science and Cell.
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.