J. M. Miller
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 2
- Immunology top 10%
- T-cell and Retrovirus Studies 10
- Immune Response and Inflammation 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 8
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- Vector-Borne Animal Diseases 4
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Michael L. DustinEric J. BrownDennis F. KucikM. J. Van Der MaatenMary Jo SchmerrDario A.A. VignaliSudhir H. RanganathChristopher A. Nelson
- Journals
- Journal of Clinical Investigation (1 paper)The Journal of Immunology (2 papers)Journal of the American Veterinary Medical Association (2 papers)
- Partner nations
- United States
In The Last Decade
J. M. Miller
19 papers receiving 518 citations
Peers
Comparison fields: 5 of 61
- Immunology and Allergy 268
- Immunology 315
- Agronomy and Crop Science 121
- Hematology 69
- Cell Biology 93
Countries citing papers authored by J. M. Miller
This map shows the geographic impact of J. M. 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 J. M. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Miller more than expected).
Fields of papers citing papers by J. M. Miller
This network shows the impact of papers produced by J. M. 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 J. M. Miller. The network helps show where J. M. Miller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. M. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 27 | |
| 2 | 1996 | 300 | |
| 3 | 1996 | 42 | |
| 4 | 1987 | 9 | |
| 5 | 1986 | 15 | |
| 6 | 1985 | 4 | |
| 7 | 1985 | 6 | |
| 8 | 1983 | 7 | |
| 9 | 1983 | 14 | |
| 10 | Fall in antibody titer to bovine leukemia virus in the periparturient period. | 1982 | 23 |
| 11 | 1981 | 7 | |
| 12 | 1981 | 15 | |
| 13 | 1981 | 15 | |
| 14 | 1979 | 1 | |
| 15 | 1979 | 6 | |
| 16 | Frequency of lymphocytes bearing Fc receptors and surface membrane immunoglobulins in normal, persistent lymphocytotic and leukemia cows. | 1978 | 31 |
| 17 | 1975 | 1 | |
| 18 | 1975 | 4 | |
| 19 | 1970 | 12 |
About J. M. Miller
J. M. Miller is a scholar working on Agronomy and Crop Science, Immunology and Immunology and Allergy, having authored 19 papers that have together received 539 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (4 papers), Immune Response and Inflammation (3 papers), Cell Adhesion Molecules Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology and Allergy (268 citations), Immunology (315 citations) and Agronomy and Crop Science (121 citations). J. M. Miller has collaborated with scholars based in United States. Frequent co-authors include Michael L. Dustin, Eric J. Brown, Dennis F. Kucik, M. J. Van Der Maaten, Mary Jo Schmerr, Dario A.A. Vignali, Sudhir H. Ranganath, Christopher A. Nelson, Emil R. Unanue and Nicholas J. Viner. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and Journal of the American Veterinary Medical Association.
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.