Dwane E. Wylie
Impact in
- Hematology top 10%
- Blood groups and transfusion
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
-
- Protein purification and stability 2
- Co-authors
- Connie M. Westhoff (6 shared papers)Sheldon M. Schuster (4 shared papers)Peter Goebel (3 shared papers)Luis J. Sigal (3 shared papers)Norman R. Klinman (2 shared papers)N. E. Pfeiffer (2 shared papers)Judy M. Teale (1 shared paper)Diane A. Blake (1 shared paper)
- Journals
- Transfusion (3 papers)Molecular Immunology (2 papers)Journal of Immunological Methods (2 papers)American Journal of Veterinary Research (2 papers)Journal of Molecular Evolution (1 paper)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Dwane E. Wylie
18 papers receiving 423 citations
Peers
Comparison fields: 5 of 76
- Hematology 70
- Electrochemistry 40
- Analytical Chemistry 55
- Immunology 107
- Radiology, Nuclear Medicine and Imaging 96
Countries citing papers authored by Dwane E. Wylie
This map shows the geographic impact of Dwane 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 Dwane 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 Dwane E. Wylie more than expected).
Fields of papers citing papers by Dwane E. Wylie
This network shows the impact of papers produced by Dwane 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 Dwane E. Wylie. The network helps show where Dwane E. Wylie may publish in the future.
Co-authors
The 25 scholars most cited alongside Dwane 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 | 1996 | 128 | |
| 2 | 1991 | 51 | |
| 3 | 1981 | 50 | |
| 4 | 1987 | 38 | |
| 5 | 1996 | 25 | |
| 6 | 1995 | 21 | |
| 7 | 1985 | 20 | |
| 8 | 2008 | 19 | |
| 9 | 1996 | 18 | |
| 10 | 2007 | 16 | |
| 11 | 2010 | 10 | |
| 12 | 1994 | 10 | |
| 13 | 1999 | 9 | |
| 14 | 1983 | 9 | |
| 15 | 1988 | 7 | |
| 16 | 1999 | 5 | |
| 17 | 1988 | 2 | |
| 18 | Variable kappa gene usage in swine antibodies. | 2003 | 1 |
About Dwane E. Wylie
Dwane E. Wylie is a scholar working on Immunology, Molecular Biology, Hematology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 18 papers that have together received 439 indexed citations. Recurring topics across this work include Blood groups and transfusion (5 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Protein purification and stability (2 papers), Immunotherapy and Immune Responses (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hematology (70 citations), Electrochemistry (40 citations), Analytical Chemistry (55 citations), Immunology (107 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Dwane E. Wylie has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Connie M. Westhoff, Sheldon M. Schuster, Peter Goebel, Luis J. Sigal, Norman R. Klinman, N. E. Pfeiffer, Judy M. Teale, Diane A. Blake, Mehraban Khosraviani and Frank Hatcher. Their work appears in journals such as Transfusion, Molecular Immunology, Journal of Immunological Methods, American Journal of Veterinary Research and Journal of Molecular Evolution.
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.