PETER D. ISSITT
Impact in
- Hematology top 0.5%
- Blood groups and transfusion
- Physiology top 2%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 99
- Blood groups and transfusion 97
- Platelet Disorders and Treatments 7
- Physiology 61
- Erythrocyte Function and Pathophysiology 59
- Co-authors
- BEVERLY G. PAVONE (22 shared papers)Susan L. Wilkinson (12 shared papers)Martha Rae Combs (5 shared papers)Wolfgang DAHR (5 shared papers)Fred H. Allen (7 shared papers)W. John Judd (4 shared papers)Dennis Goldfinger (4 shared papers)Russell E. Ware (1 shared paper)
- Journals
- Transfusion (61 papers)Vox Sanguinis (33 papers)British Journal of Haematology (5 papers)Transfusion Medicine Reviews (2 papers)JAMA (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
PETER D. ISSITT
114 papers receiving 2.3k citations
PETER D. ISSITT's Hit Papers
Peers
Comparison fields: 5 of 89
- Hematology 2.0k
- Physiology 1.3k
- Genetics 368
- Biochemistry 115
- Genetics 460
Countries citing papers authored by PETER D. ISSITT
This map shows the geographic impact of PETER D. ISSITT'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 PETER D. ISSITT with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PETER D. ISSITT more than expected).
Fields of papers citing papers by PETER D. ISSITT
This network shows the impact of papers produced by PETER D. ISSITT. 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 PETER D. ISSITT. The network helps show where PETER D. ISSITT may publish in the future.
Co-authors
The 25 scholars most cited alongside PETER D. ISSITT, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Applied Blood Group Serology Hit paper breakdown → | 1985 | 688 |
| 2 | 1999 | 110 | |
| 3 | 2000 | 78 | |
| 4 | 1976 | 77 | |
| 5 | 1990 | 74 | |
| 6 | 1996 | 53 | |
| 7 | 1979 | 52 | |
| 8 | 1978 | 49 | |
| 9 | 1975 | 47 | |
| 10 | 1986 | 45 | |
| 11 | 1981 | 45 | |
| 12 | 1971 | 41 | |
| 13 | 1993 | 38 | |
| 14 | 1992 | 37 | |
| 15 | 1977 | 37 | |
| 16 | 1978 | 35 | |
| 17 | 1985 | 32 | |
| 18 | 1981 | 32 | |
| 19 | 1968 | 31 | |
| 20 | 1980 | 30 |
About PETER D. ISSITT
PETER D. ISSITT is a scholar working on Hematology, Physiology, Genetics, Genetics and Immunology, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include Blood groups and transfusion (97 papers), Erythrocyte Function and Pathophysiology (59 papers), Glycosylation and Glycoproteins Research (19 papers), Blood disorders and treatments (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Diabetes and associated disorders (8 papers), Hemoglobinopathies and Related Disorders (8 papers) and Platelet Disorders and Treatments (7 papers). The work is most often cited by research in Hematology (2.0k citations), Physiology (1.3k citations), Genetics (368 citations), Biochemistry (115 citations) and Genetics (460 citations). PETER D. ISSITT has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include BEVERLY G. PAVONE, Susan L. Wilkinson, Martha Rae Combs, Wolfgang DAHR, Fred H. Allen, W. John Judd, Dennis Goldfinger, Russell E. Ware, Sherri A. Zimmerman and Sharon M. Castellino. Their work appears in journals such as Transfusion, Vox Sanguinis, British Journal of Haematology, Transfusion Medicine Reviews and JAMA.
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.