David L. Jaye
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Hematology 30
- Multiple Myeloma Research and Treatments 15
- Hematopoietic Stem Cell Transplantation 10
- Co-authors
- Ken B. Waites (4 shared papers)Cissy Geigerman (8 shared papers)Paul A. Wade (6 shared papers)Naoyuki Fujita (3 shared papers)Carlos S. Moreno (3 shared papers)Edmund K. Waller (21 shared papers)Masahiro Kajita (1 shared paper)Joshua B. Plotkin (1 shared paper)
- Journals
- Blood (19 papers)American Journal of Clinical Pathology (7 papers)The Journal of Immunology (6 papers)Cell (3 papers)Modern Pathology (3 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
David L. Jaye
91 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 127
- Hematology 936
- Immunology 791
- Oncology 906
- Immunology and Allergy 181
- Molecular Biology 1.9k
Countries citing papers authored by David L. Jaye
This map shows the geographic impact of David L. Jaye'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 David L. Jaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Jaye more than expected).
Fields of papers citing papers by David L. Jaye
This network shows the impact of papers produced by David L. Jaye. 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 David L. Jaye. The network helps show where David L. Jaye may publish in the future.
Co-authors
The 25 scholars most cited alongside David L. Jaye, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 413 | |
| 2 | 1997 | 306 | |
| 3 | 2004 | 270 | |
| 4 | 2005 | 263 | |
| 5 | 2006 | 240 | |
| 6 | 1991 | 220 | |
| 7 | 2009 | 213 | |
| 8 | 2019 | 108 | |
| 9 | 2019 | 93 | |
| 10 | 2013 | 85 | |
| 11 | 2012 | 83 | |
| 12 | 2010 | 78 | |
| 13 | 2019 | 74 | |
| 14 | 2009 | 74 | |
| 15 | 2002 | 66 | |
| 16 | 1990 | 61 | |
| 17 | 2006 | 59 | |
| 18 | 2023 | 55 | |
| 19 | 2021 | 54 | |
| 20 | 2005 | 45 |
About David L. Jaye
David L. Jaye is a scholar working on Molecular Biology, Hematology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 96 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Multiple Myeloma Research and Treatments (15 papers), Immune Cell Function and Interaction (12 papers), Chronic Lymphocytic Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), T-cell and B-cell Immunology (9 papers), Hematological disorders and diagnostics (9 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Hematology (936 citations), Immunology (791 citations), Oncology (906 citations), Immunology and Allergy (181 citations) and Molecular Biology (1.9k citations). David L. Jaye has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ken B. Waites, Cissy Geigerman, Paul A. Wade, Naoyuki Fujita, Carlos S. Moreno, Edmund K. Waller, Masahiro Kajita, Joshua B. Plotkin, William A. Frazier and Adil Akyildiz. Their work appears in journals such as Blood, American Journal of Clinical Pathology, The Journal of Immunology, Cell 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.