David Avigan
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 104
- Multiple Myeloma Research and Treatments 65
- Hematopoietic Stem Cell Transplantation 25
- Acute Myeloid Leukemia Research 18
- Immunology 112
- Immunotherapy and Immune Responses 75
- Immune Cell Function and Interaction 38
- T-cell and B-cell Immunology 33
- Co-authors
- Jacalyn RosenblattDonald KüfeRobin JoyceKeisuke ItoPier Paolo PandolfiZekui WuBaldev VasirJianlin Gong
- Journals
- Blood (72 papers)Journal of Clinical Oncology (22 papers)Biology of Blood and Marrow Transplantation (12 papers)Bone Marrow Transplantation (7 papers)British Journal of Haematology (5 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
David Avigan
205 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Hematology 2.6k
- Immunology 3.7k
- Oncology 2.9k
- Cancer Research 702
- Molecular Biology 3.0k
Countries citing papers authored by David Avigan
This map shows the geographic impact of David Avigan'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 Avigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Avigan more than expected).
Fields of papers citing papers by David Avigan
This network shows the impact of papers produced by David Avigan. 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 Avigan. The network helps show where David Avigan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Avigan, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 110 | |
| 7 | 2019 | 63 | |
| 8 | 2017 | 10 | |
| 9 | 2017 | 42 | |
| 10 | 2015 | 2 | |
| 11 | 2015 | 28 | |
| 12 | 2015 | 37 | |
| 13 | 2013 | 41 | |
| 14 | 2009 | 125 | |
| 15 | 2008 | 41 | |
| 16 | 2007 | 34 | |
| 17 | 2005 | 26 | |
| 18 | 2001 | 127 | |
| 19 | 2000 | 184 | |
| 20 | 1998 | 28 |
About David Avigan
David Avigan is a scholar working on Hematology, Immunology, Oncology, Cancer Research and Genetics, having authored 208 papers that have together received 7.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (75 papers), Multiple Myeloma Research and Treatments (65 papers), CAR-T cell therapy research (51 papers), Immune Cell Function and Interaction (38 papers), T-cell and B-cell Immunology (33 papers), Hematopoietic Stem Cell Transplantation (25 papers), Cancer Immunotherapy and Biomarkers (20 papers) and Acute Myeloid Leukemia Research (18 papers). The work is most often cited by research in Hematology (2.6k citations), Immunology (3.7k citations), Oncology (2.9k citations), Cancer Research (702 citations) and Molecular Biology (3.0k citations). David Avigan has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Jacalyn Rosenblatt, Donald Küfe, Robin Joyce, Keisuke Ito, Pier Paolo Pandolfi, Zekui Wu, Baldev Vasir, Jianlin Gong, Kenneth C. Anderson and Ugo Ala. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation and British Journal of Haematology.
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.