Joseph M. Davie
- Immunology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Molecular Biology top 5%
- Surgery top 2%
- Genetics top 2%
- Co-authors
- William E. PaulPaul E. LacyDavid E. BrilesMoon H. NahmJ L ClaflinB L ClevingerEDWARD H. FINKEJ H Slack
- Topics
- Monoclonal and Polyclonal Antibodies Research (76 papers)Glycosylation and Glycoproteins Research (48 papers)T-cell and B-cell Immunology (29 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Joseph M. Davie
148 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 111
- Immunology 2.6k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Molecular Biology 1.9k
- Surgery 1.2k
- Genetics 894
Countries citing papers authored by Joseph M. Davie
This map shows the geographic impact of Joseph M. Davie'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 Joseph M. Davie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph M. Davie more than expected).
Fields of papers citing papers by Joseph M. Davie
This network shows the impact of papers produced by Joseph M. Davie. 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 Joseph M. Davie. The network helps show where Joseph M. Davie may publish in the future.
Co-authorship network of co-authors of Joseph M. Davie
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Davie. A scholar is included among the top collaborators of Joseph M. Davie 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 Joseph M. Davie. Joseph M. Davie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 45 | |
| 5 | 405 | |
| 6 | 215 | |
| 7 | Analysis of the Diversity of Murine Antibodies to Dextran B1355: I. Generation of a Large, Pauci-Clonal Response by a Bacterial Vaccine | 36 |
| 8 | Role of t lymphocytes in the humoral immune response. II. T cell-mediated regulation of antibody avidity. | 6 |
| 9 | 18 | |
| 10 | 33 | |
| 11 | 39 | |
| 12 | 108 | |
| 13 | 43 | |
| 14 | 102 | |
| 15 | 24 | |
| 16 | 101 | |
| 17 | 94 | |
| 18 | 56 | |
| 19 | 29 | |
| 20 | 30 |
About Joseph M. Davie
Joseph M. Davie is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Immunology and Allergy, having authored 148 papers that have together received 5.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (76 papers), Glycosylation and Glycoproteins Research (48 papers) and T-cell and B-cell Immunology (29 papers). The work is most often cited by research in Immunology (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Immunology and Allergy (249 citations). Joseph M. Davie has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include William E. Paul, Paul E. Lacy, David E. Briles, Moon H. Nahm, J L Claflin, B L Clevinger, EDWARD H. FINKE, J H Slack, Leroy Hood and Denise L. Faustman. Their work appears in journals such as Nature, Science and Cell.
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.