J Nelson
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Oncology top 10%
- Viral-associated cancers and disorders
- Neutropenia and Cancer Infections
Papers in
-
- Multiple Myeloma Research and Treatments 6
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 1
- Chronic Myeloid Leukemia Treatments 1
- Oncology 4
- Viral-associated cancers and disorders 2
- Polyomavirus and related diseases 2
- Cancer Treatment and Pharmacology 2
- Co-authors
- Guido Tricot (6 shared papers)Bart Barlogie (5 shared papers)Sharon Tindle (5 shared papers)David H. Vesole (3 shared papers)L.S. Miller (2 shared papers)John Crowley (2 shared papers)Bruce D. Cheson (2 shared papers)S Jagannath (1 shared paper)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (1 paper)Leukemia & lymphoma (1 paper)PubMed (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
J Nelson
9 papers receiving 847 citations
Peers
Comparison fields: 5 of 39
- Hematology 599
- Oncology 327
- Pathology and Forensic Medicine 197
- Genetics 104
- Transplantation 19
Countries citing papers authored by J Nelson
This map shows the geographic impact of J Nelson'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 J Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Nelson more than expected).
Fields of papers citing papers by J Nelson
This network shows the impact of papers produced by J Nelson. 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 J Nelson. The network helps show where J Nelson may publish in the future.
Co-authors
The 25 scholars most cited alongside J Nelson, 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 | 1995 | 360 | |
| 2 | 1998 | 135 | |
| 3 | 1992 | 113 | |
| 4 | 1992 | 111 | |
| 5 | 1998 | 92 | |
| 6 | 1998 | 20 | |
| 7 | 1995 | 19 | |
| 8 | Graft-versus-host disease following interferon therapy for relapsed chronic myeloid leukaemia post-allogeneic bone marrow transplantation. | 1994 | 8 |
| 9 | 1998 | 3 |
About J Nelson
J Nelson is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Neurology and Immunology, having authored 9 papers that have together received 861 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Viral-associated cancers and disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Polyomavirus and related diseases (2 papers), Cancer Treatment and Pharmacology (2 papers), Acute Myeloid Leukemia Research (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (599 citations), Oncology (327 citations), Pathology and Forensic Medicine (197 citations), Genetics (104 citations) and Transplantation (19 citations). J Nelson has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Guido Tricot, Bart Barlogie, Sharon Tindle, David H. Vesole, L.S. Miller, John Crowley, Bruce D. Cheson, S Jagannath, PJ Bierman and JR Anderson. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia & lymphoma and PubMed.
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.