Jeffrey S. Miller
- Immunology top 0.01%
- Oncology top 0.05%
- Hematology top 0.02%
- Molecular Biology top 1%
- Epidemiology top 1%
- Co-authors
- Daniel J. WeisdorfBruce R. BlazarSarah CooleyMichael R. VernerisTodd E. DeForJohn E. WagnerPhilip B. McGlaveValarie McCullar
- Topics
- Immune Cell Function and Interaction (348 papers)Hematopoietic Stem Cell Transplantation (176 papers)T-cell and B-cell Immunology (159 papers)
- Cited by
- ImmunologyHematologyOncology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Jeffrey S. Miller
595 papers receiving 32.2k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Immunology 21.4k
- Oncology 11.8k
- Hematology 9.4k
- Molecular Biology 4.0k
- Epidemiology 2.1k
Countries citing papers authored by Jeffrey S. Miller
This map shows the geographic impact of Jeffrey S. Miller'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 S. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Miller more than expected).
Fields of papers citing papers by Jeffrey S. Miller
This network shows the impact of papers produced by Jeffrey S. Miller. 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 S. Miller. The network helps show where Jeffrey S. Miller may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Miller. A scholar is included among the top collaborators of Jeffrey S. Miller 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 Jeffrey S. Miller. Jeffrey S. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 34 | |
| 7 | 146 | |
| 8 | 93 | |
| 9 | 97 | |
| 10 | 141 | |
| 11 | 295 | |
| 12 | 157 | |
| 13 | 303 | |
| 14 | Cytomegalovirus reactivation after allogeneic transplantation promotes a lasting increase in educated NKG2C+ natural killer cells with potent functionbreakdown → | 491 |
| 15 | Infusion of ex vivo expanded T regulatory cells in adults transplanted with umbilical cord blood: safety profile and detection kineticsbreakdown → | 805 |
| 16 | 376 | |
| 17 | 27 | |
| 18 | 33 | |
| 19 | 38 | |
| 20 | 6 |
About Jeffrey S. Miller
Jeffrey S. Miller is a scholar working on Hematology, Immunology and Oncology, having authored 607 papers that have together received 32.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (348 papers), Hematopoietic Stem Cell Transplantation (176 papers) and T-cell and B-cell Immunology (159 papers). The work is most often cited by research in Immunology (21.4k citations), Hematology (9.4k citations) and Oncology (11.8k citations). Jeffrey S. Miller has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Daniel J. Weisdorf, Bruce R. Blazar, Sarah Cooley, Michael R. Verneris, Todd E. DeFor, John E. Wagner, Philip B. McGlave, Valarie McCullar, Martin Felices and Catherine M. Verfaillie. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.