KM Sullivan
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 2%
Papers in
- Hematology 39
- Hematopoietic Stem Cell Transplantation 39
- Acute Myeloid Leukemia Research 6
- Immunology 12
- T-cell and B-cell Immunology 8
- Co-authors
- Rainer F Storb (21 shared papers)H. Joachim Deeg (15 shared papers)FR Appelbaum (24 shared papers)RP Witherspoon (17 shared papers)JE Sanders (15 shared papers)CD Buckner (20 shared papers)KC Doney (9 shared papers)E D Thomas (14 shared papers)
- Journals
- Blood (39 papers)Journal of Clinical Oncology (2 papers)British Journal of Pharmacology (1 paper)Hematology (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
KM Sullivan
47 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 90
- Hematology 2.4k
- Transplantation 159
- Genetics 550
- Immunology 712
- Oncology 652
Countries citing papers authored by KM Sullivan
This map shows the geographic impact of KM Sullivan'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 KM Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KM Sullivan more than expected).
Fields of papers citing papers by KM Sullivan
This network shows the impact of papers produced by KM Sullivan. 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 KM Sullivan. The network helps show where KM Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside KM Sullivan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 313 | |
| 2 | 1988 | 308 | |
| 3 | 1988 | 254 | |
| 4 | 1981 | 241 | |
| 5 | 1986 | 204 | |
| 6 | 1984 | 146 | |
| 7 | 2001 | 135 | |
| 8 | 1982 | 131 | |
| 9 | 1986 | 129 | |
| 10 | 1995 | 127 | |
| 11 | 1990 | 111 | |
| 12 | 1992 | 107 | |
| 13 | 1987 | 92 | |
| 14 | 1996 | 89 | |
| 15 | 1983 | 86 | |
| 16 | 1996 | 79 | |
| 17 | 1988 | 68 | |
| 18 | 1988 | 66 | |
| 19 | 1992 | 57 | |
| 20 | 1990 | 54 |
About KM Sullivan
KM Sullivan is a scholar working on Hematology, Immunology, Oncology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (39 papers), T-cell and B-cell Immunology (8 papers), Polyomavirus and related diseases (7 papers), Transplantation: Methods and Outcomes (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (6 papers), Antifungal resistance and susceptibility (4 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). The work is most often cited by research in Hematology (2.4k citations), Transplantation (159 citations), Genetics (550 citations), Immunology (712 citations) and Oncology (652 citations). KM Sullivan has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Rainer F Storb, H. Joachim Deeg, FR Appelbaum, RP Witherspoon, JE Sanders, CD Buckner, KC Doney, E D Thomas, S Dahlberg and Claudio Anasetti. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Pharmacology, Hematology and American Journal of Roentgenology.
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.