Dan Jones

13.1k citations
256 papers · 8.6k · h-index 51

Impact in

  • Hematology top 0.1%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 0.05%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 91
    • Acute Myeloid Leukemia Research 36
    • Chronic Lymphocytic Leukemia Research 93

Dan Jones

249 papers receiving 8.4k citations

Peers

Dan Jones
Comparison fields: 5 of 142
  • Hematology 4.6k
  • Genetics 4.0k
  • Rheumatology 2.3k
  • Pathology and Forensic Medicine 2.3k
  • Dermatology 913
Replace James W. Vardiman with:
James W. Vardiman United States
Anna Porwit Sweden
Michinori Ogura Japan
Steven L. Allen United States
Oliver G. Ottmann Germany
Tapan M. Kadia United States
Suzanne Kamel‐Reid Canada
Delphine Réa France
Donna E. Hogge Canada
Bruno Varet France
Dan Jones relative to James W. Vardiman United States James W. Vardiman's profile →
Citations per field
00.5×1.5×1.9×
James W. Vardiman · 1×
Citations per year

Countries citing papers authored by Dan Jones

Since Specialization
Citations

This map shows the geographic impact of Dan Jones'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 Dan Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jones more than expected).

Fields of papers citing papers by Dan Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Jones. 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 Dan Jones. The network helps show where Dan Jones may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Jones, 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 Dan Jones Line = papers co-authored together Dan Jones links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006310
2 2006276
3 2008270
4 2005261
5 2010244
6 2007230
7 2005197
8 2009192
9 2009188
10 2006178
11 1998140
12 2004130
13 2009124
14 2008123
15 2003117
16 2006116
17 2009115
18 2007113
19 2008113
20 2004112

About Dan Jones

Dan Jones is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Rheumatology, having authored 256 papers that have together received 8.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (93 papers), Chronic Myeloid Leukemia Treatments (91 papers), Lymphoma Diagnosis and Treatment (67 papers), Eosinophilic Disorders and Syndromes (49 papers), Acute Myeloid Leukemia Research (36 papers), Cutaneous lymphoproliferative disorders research (34 papers), Acute Lymphoblastic Leukemia research (24 papers) and Viral-associated cancers and disorders (23 papers). The work is most often cited by research in Hematology (4.6k citations), Genetics (4.0k citations), Rheumatology (2.3k citations), Pathology and Forensic Medicine (2.3k citations) and Dermatology (913 citations). Dan Jones has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Hagop M. Kantarjian, Jörge E. Cortes, Susan O’Brien, Guillermo Garcia‐Manero, L. Jeffrey Medeiros, Srđan Verstovšek, Francis J. Giles, Elias Jabbour, Stefan Faderl and Rajyalakshmi Luthra. Their work appears in journals such as Blood, American Journal of Clinical Pathology, Cancer, Journal of Clinical Oncology and Modern Pathology.

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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