James D. Levine
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Erythropoietin and Anemia Treatment
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 5
- Immunology 21
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 5
- Co-authors
- David T. ScaddenPeter LopezAnlai WangAnna C. BerardiBarbara R. SchwartzKarleen S. CallahanL A HarkerJohn M. Harlan
- Journals
- Blood (13 papers)Journal of Clinical Oncology (5 papers)Journal of Immunotherapy (2 papers)Journal of the American Academy of Dermatology (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
James D. Levine
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Hematology 818
- Immunology 688
- Oncology 629
- Virology 84
- Genetics 184
Countries citing papers authored by James D. Levine
This map shows the geographic impact of James D. Levine'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 James D. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Levine more than expected).
Fields of papers citing papers by James D. Levine
This network shows the impact of papers produced by James D. Levine. 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 James D. Levine. The network helps show where James D. Levine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James D. Levine, 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 | 2015 | 9 | |
| 2 | 2015 | 2 | |
| 3 | 2014 | 16 | |
| 4 | 2013 | 41 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 132 | |
| 7 | 2011 | 237 | |
| 8 | 2010 | 33 | |
| 9 | 2010 | 23 | |
| 10 | 2007 | 1 | |
| 11 | 1996 | 57 | |
| 12 | 1995 | 8 | |
| 13 | 1995 | 346 | |
| 14 | 1991 | 23 | |
| 15 | 1991 | 58 | |
| 16 | 1990 | 9 | |
| 17 | 1990 | 272 | |
| 18 | 1989 | 0 | |
| 19 | 1988 | 30 | |
| 20 | 1984 | 291 |
About James D. Levine
James D. Levine is a scholar working on Hematology, Immunology, Virology, Genetics and Oncology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Multiple Myeloma Research and Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Acute Myeloid Leukemia Research (5 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Hematology (818 citations), Immunology (688 citations), Oncology (629 citations), Virology (84 citations) and Genetics (184 citations). James D. Levine has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include David T. Scadden, Peter Lopez, Anlai Wang, Anna C. Berardi, Barbara R. Schwartz, Karleen S. Callahan, L A Harker, John M. Harlan, Robin Joyce and Jacalyn Rosenblatt. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Immunotherapy, Journal of the American Academy of Dermatology and Nature Medicine.
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.