Daniel J. Weisdorf
- Hematology top 0.01%
- Immunology top 0.05%
- Oncology top 0.05%
- Public Health, Environmental and Occupational Health top 0.05%
- Molecular Biology top 1%
- Co-authors
- Todd E. DeForBruce R. BlazarJeffrey S. MillerJohn E. WagnerClara D. BloomfieldHartmut DöhnerPhilip B. McGlaveClaudio G. Brunstein
- Topics
- Hematopoietic Stem Cell Transplantation (466 papers)Acute Lymphoblastic Leukemia research (173 papers)Acute Myeloid Leukemia Research (159 papers)
- Cited by
- HematologyTransplantationImmunology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel J. Weisdorf
705 papers receiving 37.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Hematology 24.2k
- Immunology 13.3k
- Oncology 11.4k
- Public Health, Environmental and Occupational Health 6.3k
- Molecular Biology 5.1k
Countries citing papers authored by Daniel J. Weisdorf
This map shows the geographic impact of Daniel J. Weisdorf'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 Daniel J. Weisdorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Weisdorf more than expected).
Fields of papers citing papers by Daniel J. Weisdorf
This network shows the impact of papers produced by Daniel J. Weisdorf. 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 Daniel J. Weisdorf. The network helps show where Daniel J. Weisdorf may publish in the future.
Co-authorship network of co-authors of Daniel J. Weisdorf
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Weisdorf. A scholar is included among the top collaborators of Daniel J. Weisdorf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Weisdorf. Daniel J. Weisdorf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 295 | |
| 12 | 66 | |
| 13 | 303 | |
| 14 | 133 | |
| 15 | Cytomegalovirus reactivation after allogeneic transplantation promotes a lasting increase in educated NKG2C+ natural killer cells with potent functionbreakdown → | 491 |
| 16 | 93 | |
| 17 | 338 | |
| 18 | 311 | |
| 19 | 374 | |
| 20 | 376 |
About Daniel J. Weisdorf
Daniel J. Weisdorf is a scholar working on Hematology, Transplantation and Genetics, having authored 732 papers that have together received 38.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (466 papers), Acute Lymphoblastic Leukemia research (173 papers) and Acute Myeloid Leukemia Research (159 papers). The work is most often cited by research in Hematology (24.2k citations), Transplantation (2.0k citations) and Immunology (13.3k citations). Daniel J. Weisdorf has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Todd E. DeFor, Bruce R. Blazar, Jeffrey S. Miller, John E. Wagner, Clara D. Bloomfield, Hartmut Döhner, Philip B. McGlave, Claudio G. Brunstein, Margaret L. MacMillan and Juliet N. Barker. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.