Neil Dunavin
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Oncology 14
- CAR-T cell therapy research 6
- Hematology 14
- Hematopoietic Stem Cell Transplantation 7
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Meizhang Li (10 shared papers)Joseph P. McGuirk (8 shared papers)Ajoy Dias (3 shared papers)Siddhartha Ganguly (8 shared papers)Andrew K. Godwin (8 shared papers)Haitham Abdelhakim (6 shared papers)Sunil Abhyankar (6 shared papers)Buddhadeb Dawn (3 shared papers)
- Journals
- Blood (7 papers)Biology of Blood and Marrow Transplantation (3 papers)British Journal of Haematology (1 paper)Bone Marrow Transplantation (1 paper)Biomedicines (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Neil Dunavin
25 papers receiving 289 citations
Peers
Comparison fields: 5 of 47
- Hematology 107
- Genetics 69
- Oncology 68
- Immunology 49
- Cancer Research 29
Countries citing papers authored by Neil Dunavin
This map shows the geographic impact of Neil Dunavin'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 Neil Dunavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Dunavin more than expected).
Fields of papers citing papers by Neil Dunavin
This network shows the impact of papers produced by Neil Dunavin. 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 Neil Dunavin. The network helps show where Neil Dunavin may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil Dunavin, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2012 | 52 | |
| 3 | 2017 | 37 | |
| 4 | 2020 | 31 | |
| 5 | 2018 | 24 | |
| 6 | 2016 | 22 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2014 | 1 | |
| 20 | 2018 | 1 |
About Neil Dunavin
Neil Dunavin is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Genetics, having authored 29 papers that have together received 293 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers), Acute Myeloid Leukemia Research (5 papers), Mesenchymal stem cell research (4 papers), Immune cells in cancer (3 papers), Extracellular vesicles in disease (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (107 citations), Genetics (69 citations), Oncology (68 citations), Immunology (49 citations) and Cancer Research (29 citations). Neil Dunavin has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Meizhang Li, Joseph P. McGuirk, Ajoy Dias, Siddhartha Ganguly, Andrew K. Godwin, Haitham Abdelhakim, Sunil Abhyankar, Buddhadeb Dawn, Rupal P. Soder and Harsh B. Pathak. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, British Journal of Haematology, Bone Marrow Transplantation and Biomedicines.
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.