Jeffrey E. Miller
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Vesselin Vassilev (1 shared paper)Mitchell Kronenberg (4 shared papers)Per A. Peterson (4 shared papers)A. Raúl Castaño (3 shared papers)Hilda Holcombe (4 shared papers)Shabnam Tangri (4 shared papers)William D. Huse (3 shared papers)Michael R. Jackson (1 shared paper)
- Journals
- Blood (3 papers)Gastroenterology (1 paper)IEEE Transactions on Reliability (1 paper)Diabetologia (1 paper)Retina (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Jeffrey E. Miller
25 papers receiving 611 citations
Peers
Comparison fields: 5 of 98
- Immunology 228
- Hematology 117
- Genetics 40
- Software 16
- Cancer Research 34
Countries citing papers authored by Jeffrey E. Miller
This map shows the geographic impact of Jeffrey E. 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 E. 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 E. Miller more than expected).
Fields of papers citing papers by Jeffrey E. Miller
This network shows the impact of papers produced by Jeffrey E. 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 E. Miller. The network helps show where Jeffrey E. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey E. Miller, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 231 | |
| 2 | 2018 | 99 | |
| 3 | 2002 | 77 | |
| 4 | 1969 | 43 | |
| 5 | 1982 | 26 | |
| 6 | 1995 | 22 | |
| 7 | 2019 | 22 | |
| 8 | 1984 | 21 | |
| 9 | 1998 | 18 | |
| 10 | 1982 | 17 | |
| 11 | 1987 | 16 | |
| 12 | 1996 | 10 | |
| 13 | 1987 | 9 | |
| 14 | 1979 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2003 | 4 | |
| 17 | 2003 | 2 | |
| 18 | 1988 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2023 | 1 |
About Jeffrey E. Miller
Jeffrey E. Miller is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Water Science and Technology, having authored 27 papers that have together received 639 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunotherapy and Immune Responses (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Immunology (228 citations), Hematology (117 citations), Genetics (40 citations), Software (16 citations) and Cancer Research (34 citations). Jeffrey E. Miller has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Vesselin Vassilev, Mitchell Kronenberg, Per A. Peterson, A. Raúl Castaño, Hilda Holcombe, Shabnam Tangri, William D. Huse, Michael R. Jackson, Timothy T. Stenzel and Zhiyi Xie. Their work appears in journals such as Blood, Gastroenterology, IEEE Transactions on Reliability, Diabetologia and Retina.
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.