D E Wylie
Impact in
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Hematology top 10%
- Blood groups and transfusion
Papers in
-
- T-cell and B-cell Immunology 4
- Co-authors
- S M Schuster (6 shared papers)Norman R. Klinman (4 shared papers)Ratna Chakrabarti (2 shared papers)Connie M. Westhoff (5 shared papers)B Datta (1 shared paper)Debopam Chakrabarti (1 shared paper)Manas K. Ray (1 shared paper)N.K. Gupta (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Transfusion (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesNigeria
In The Last Decade
D E Wylie
18 papers receiving 622 citations
Peers
Comparison fields: 5 of 83
- Immunology 194
- Hematology 88
- Biotechnology 59
- Radiology, Nuclear Medicine and Imaging 115
- Molecular Biology 292
Countries citing papers authored by D E Wylie
This map shows the geographic impact of D E Wylie'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 Wylie 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 Wylie more than expected).
Fields of papers citing papers by D E Wylie
This network shows the impact of papers produced by D E Wylie. 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 Wylie. The network helps show where D E Wylie may publish in the future.
Co-authors
The 23 scholars most cited alongside D E Wylie, 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 | 1989 | 118 | |
| 2 | 1989 | 111 | |
| 3 | 1982 | 61 | |
| 4 | 1979 | 54 | |
| 5 | 1992 | 54 | |
| 6 | 2001 | 35 | |
| 7 | 1997 | 27 | |
| 8 | 1987 | 26 | |
| 9 | 1992 | 25 | |
| 10 | 2006 | 24 | |
| 11 | 1981 | 21 | |
| 12 | 2000 | 20 | |
| 13 | 1989 | 20 | |
| 14 | 1986 | 18 | |
| 15 | 1983 | 17 | |
| 16 | 1994 | 12 | |
| 17 | 1972 | 3 | |
| 18 | 1993 | 3 |
About D E Wylie
D E Wylie is a scholar working on Immunology, Molecular Biology, Genetics, Epidemiology and Rheumatology, having authored 18 papers that have together received 649 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Blood groups and transfusion (3 papers), Influenza Virus Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Artificial Immune Systems Applications (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (194 citations), Hematology (88 citations), Biotechnology (59 citations), Radiology, Nuclear Medicine and Imaging (115 citations) and Molecular Biology (292 citations). D E Wylie has collaborated with scholars based in United States and Nigeria. Frequent co-authors include S M Schuster, Norman R. Klinman, Ratna Chakrabarti, Connie M. Westhoff, B Datta, Debopam Chakrabarti, Manas K. Ray, N.K. Gupta, Linda A. Sherman and N. E. Pfeiffer. Their work appears in journals such as Journal of Biological Chemistry, Transfusion, Proceedings of the National Academy of Sciences, 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.