D. E. H. Tee
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Complement system in diseases
- Immune Cell Function and Interaction
Papers in
-
- Complement system in diseases 3
- Toxin Mechanisms and Immunotoxins 1
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Diego Vergani (7 shared papers)Giorgio Senaldi (4 shared papers)Mark Peakman (4 shared papers)Marie Driver (2 shared papers)T. O'Dowd (2 shared papers)David A. Pyke (1 shared paper)Richard David Leslie (1 shared paper)Paul J Hoskins (1 shared paper)
- Journals
- Journal of Clinical Pathology (4 papers)The Lancet (2 papers)The Journal of Infectious Diseases (1 paper)Journal of Immunological Methods (1 paper)British Journal of Anaesthesia (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
D. E. H. Tee
17 papers receiving 323 citations
Peers
Comparison fields: 5 of 77
- Virology 56
- Immunology 157
- Hepatology 39
- Hematology 36
- Behavioral Neuroscience 10
Countries citing papers authored by D. E. H. Tee
This map shows the geographic impact of D. E. H. Tee'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 D. E. H. Tee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. E. H. Tee more than expected).
Fields of papers citing papers by D. E. H. Tee
This network shows the impact of papers produced by D. E. H. Tee. 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 D. E. H. Tee. The network helps show where D. E. H. Tee may publish in the future.
Co-authors
The 25 scholars most cited alongside D. E. H. Tee, 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 | 1984 | 74 | |
| 2 | 1990 | 55 | |
| 3 | 1983 | 43 | |
| 4 | 1984 | 41 | |
| 5 | Identification of biliary antigens in circulating immune complexes in primary biliary cirrhosis. | 1980 | 33 |
| 6 | 1987 | 23 | |
| 7 | 1984 | 16 | |
| 8 | 1987 | 15 | |
| 9 | 1972 | 12 | |
| 10 | 1989 | 9 | |
| 11 | 1994 | 9 | |
| 12 | 1989 | 8 | |
| 13 | T cell subpopulation dynamics following insulin-induced hypoglycaemia in normal subjects. | 1983 | 5 |
| 14 | 1978 | 5 | |
| 15 | 1983 | 3 | |
| 16 | 1971 | 3 | |
| 17 | 1975 | 2 |
About D. E. H. Tee
D. E. H. Tee is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Genetics and Hematology, having authored 17 papers that have together received 356 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Diabetes and associated disorders (3 papers), Complement system in diseases (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Blood groups and transfusion (1 paper), Pharmacovigilance and Adverse Drug Reactions (1 paper), Family Support in Illness (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Virology (56 citations), Immunology (157 citations), Hepatology (39 citations), Hematology (36 citations) and Behavioral Neuroscience (10 citations). D. E. H. Tee has collaborated with scholars based in United Kingdom. Frequent co-authors include Diego Vergani, Giorgio Senaldi, Mark Peakman, Marie Driver, T. O'Dowd, David A. Pyke, Richard David Leslie, Paul J Hoskins, Edward T. Davies and Colleen Johnston‐Devin. Their work appears in journals such as Journal of Clinical Pathology, The Lancet, The Journal of Infectious Diseases, Journal of Immunological Methods and British Journal of Anaesthesia.
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.