David Barnett
Impact in
- Virology top 1%
- HIV Research and Treatment
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Single-cell and spatial transcriptomics 19
- Receptor Mechanisms and Signaling 15
- Hematology 39
- Blood groups and transfusion 16
- Hematopoietic Stem Cell Transplantation 9
- Co-authors
- Stefan R. Nahorski (11 shared papers)John T. Reilly (29 shared papers)Liam Whitby (25 shared papers)E.L. Rugg (3 shared papers)George Janossy (7 shared papers)V. Granger (15 shared papers)Stefano Papa (6 shared papers)J.W. Gratama (3 shared papers)
- Journals
- Cytometry Part B Clinical Cytometry (25 papers)Cytometry (9 papers)British Journal of Haematology (8 papers)European Journal of Pharmacology (5 papers)The Lancet Oncology (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David Barnett
132 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 160
- Virology 517
- Hematology 1.2k
- Immunology 941
- Genetics 418
- Transplantation 74
Countries citing papers authored by David Barnett
This map shows the geographic impact of David Barnett'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 Barnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Barnett more than expected).
Fields of papers citing papers by David Barnett
This network shows the impact of papers produced by David Barnett. 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 Barnett. The network helps show where David Barnett may publish in the future.
Co-authors
The 25 scholars most cited alongside David Barnett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 194 | |
| 2 | 2007 | 165 | |
| 3 | 1982 | 157 | |
| 4 | 1998 | 156 | |
| 5 | 2002 | 132 | |
| 6 | 1991 | 128 | |
| 7 | 1998 | 123 | |
| 8 | 1978 | 120 | |
| 9 | 1999 | 118 | |
| 10 | 2014 | 108 | |
| 11 | 2003 | 105 | |
| 12 | 2014 | 98 | |
| 13 | 1999 | 94 | |
| 14 | 1978 | 83 | |
| 15 | 2001 | 80 | |
| 16 | 1996 | 74 | |
| 17 | 2009 | 73 | |
| 18 | 2000 | 73 | |
| 19 | 2002 | 71 | |
| 20 | 2002 | 69 |
About David Barnett
David Barnett is a scholar working on Molecular Biology, Hematology, Immunology, Virology and Epidemiology, having authored 134 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), Single-cell and spatial transcriptomics (19 papers), Blood groups and transfusion (16 papers), Receptor Mechanisms and Signaling (15 papers), Cytomegalovirus and herpesvirus research (11 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Virology (517 citations), Hematology (1.2k citations), Immunology (941 citations), Genetics (418 citations) and Transplantation (74 citations). David Barnett has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stefan R. Nahorski, John T. Reilly, Liam Whitby, E.L. Rugg, George Janossy, V. Granger, Stefano Papa, J.W. Gratama, Teri Oldaker and Michael Keeney. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Cytometry, British Journal of Haematology, European Journal of Pharmacology and The Lancet Oncology.
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.