Jeffrey L. Wolf
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Oncology top 2%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
Papers in
- Hematology 86
- Multiple Myeloma Research and Treatments 71
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 11
- Genetics 22
- Chronic Lymphocytic Leukemia Research 16
- Co-authors
- Sundar JagannathPaul G. RichardsonAmitabha MazumderDavid IrwinJohn CrowleyElber S. CamachoMarti McKinleyJose Lutzky
- Journals
- Blood (37 papers)Journal of Clinical Oncology (9 papers)Biology of Blood and Marrow Transplantation (8 papers)British Journal of Haematology (6 papers)Blood Advances (5 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Jeffrey L. Wolf
114 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Hematology 1.9k
- Oncology 1.2k
- Genetics 255
- Molecular Biology 1.5k
- Immunology 253
Countries citing papers authored by Jeffrey L. Wolf
This map shows the geographic impact of Jeffrey L. Wolf'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 Jeffrey L. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey L. Wolf more than expected).
Fields of papers citing papers by Jeffrey L. Wolf
This network shows the impact of papers produced by Jeffrey L. Wolf. 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 Jeffrey L. Wolf. The network helps show where Jeffrey L. Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey L. Wolf, 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 | 2024 | 1 | |
| 2 | 2024 | 19 | |
| 3 | 2024 | 15 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 4 | |
| 12 | 2015 | 8 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 10 | |
| 15 | 2012 | 14 | |
| 16 | 2010 | 58 | |
| 17 | 2009 | 11 | |
| 18 | 2009 | 37 | |
| 19 | 2000 | 6 | |
| 20 | 1984 | 6 |
About Jeffrey L. Wolf
Jeffrey L. Wolf is a scholar working on Hematology, Genetics, Oncology, Transplantation and Geriatrics and Gerontology, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (71 papers), Protein Degradation and Inhibitors (30 papers), CAR-T cell therapy research (20 papers), Chronic Lymphocytic Leukemia Research (16 papers), Peptidase Inhibition and Analysis (12 papers), Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Cancer therapeutics and mechanisms (9 papers). The work is most often cited by research in Hematology (1.9k citations), Oncology (1.2k citations), Genetics (255 citations), Molecular Biology (1.5k citations) and Immunology (253 citations). Jeffrey L. Wolf has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Sundar Jagannath, Paul G. Richardson, Amitabha Mazumder, David Irwin, John Crowley, Elber S. Camacho, Marti McKinley, Jose Lutzky, Brian G.M. Durie and Sandy W. Wong. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, British Journal of Haematology and Blood Advances.
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.