J Nelson

1.1k citations
9 papers · 859 indexed · h-index 8

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Oncology top 10%
    • Neutropenia and Cancer Infections
    • Viral-associated cancers and disorders

Papers in

    • Hematopoietic Stem Cell Transplantation 7
    • Multiple Myeloma Research and Treatments 7
    • Acute Myeloid Leukemia Research 1
    • Cancer Treatment and Pharmacology 3
    • Viral-associated cancers and disorders 2
    • Polyomavirus and related diseases 2

J Nelson

9 papers receiving 845 citations

Peers

J Nelson
Comparison fields: 5 of 43
  • Hematology 654
  • Oncology 423
  • Genetics 145
  • Pathology and Forensic Medicine 221
  • Transplantation 20
Replace K Schiffman with:
K Schiffman United States
Don Milligan United Kingdom
K Blake United States
Marion M. Roberts Australia
D Thorp Australia
T de Witte Netherlands
DH Vesole United States
N Belli Italy
Martin Pj United States
Birgit Federmann Germany
J Nelson relative to K Schiffman United States K Schiffman's profile →
Citations per field
00.5×1.5×2.5×
K Schiffman · 1×
Citations per year

Countries citing papers authored by J Nelson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with J Nelson Line = papers co-authored together J Nelson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998135
2 199820
3 199891
4 19983
5 1995359
6 199519
7
Graft-versus-host disease following interferon therapy for relapsed chronic myeloid leukaemia post-allogeneic bone marrow transplantation.
19948
8 1992111
9 1992113

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 859 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Multiple Myeloma Research and Treatments (7 papers), Cancer Treatment and Pharmacology (3 papers), Viral-associated cancers and disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Polyomavirus and related diseases (2 papers), Neuroblastoma Research and Treatments (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (654 citations), Oncology (423 citations), Genetics (145 citations), Pathology and Forensic Medicine (221 citations) and Transplantation (20 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, Bruce D. Cheson, John Crowley, L.S. Miller, S Jagannath, JM Vose and Kim Schmit-Pokorny. 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.

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