Jeffrey V. Ravetch
- Immunology top 0.01%
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Molecular Biology top 0.1%
- Oncology top 0.1%
- Epidemiology top 0.5%
- Co-authors
- Falk NimmerjahnSilvia BollandRaphael ClynesAndrew D. LusterTerri L. TowersStylianos BournazosDavid J. DiLilloRobert M. Anthony
- Topics
- Monoclonal and Polyclonal Antibodies Research (154 papers)T-cell and B-cell Immunology (89 papers)Glycosylation and Glycoproteins Research (82 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Jeffrey V. Ravetch
265 papers receiving 46.1k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Immunology 29.6k
- Radiology, Nuclear Medicine and Imaging 18.4k
- Molecular Biology 15.6k
- Oncology 7.4k
- Epidemiology 3.9k
Countries citing papers authored by Jeffrey V. Ravetch
This map shows the geographic impact of Jeffrey V. Ravetch'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 V. Ravetch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey V. Ravetch more than expected).
Fields of papers citing papers by Jeffrey V. Ravetch
This network shows the impact of papers produced by Jeffrey V. Ravetch. 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 V. Ravetch. The network helps show where Jeffrey V. Ravetch may publish in the future.
Co-authorship network of co-authors of Jeffrey V. Ravetch
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey V. Ravetch. A scholar is included among the top collaborators of Jeffrey V. Ravetch 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 V. Ravetch. Jeffrey V. Ravetch 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 | 16 | |
| 3 | 18 | |
| 4 | 13 | |
| 5 | 78 | |
| 6 | 11 | |
| 7 | 105 | |
| 8 | 20 | |
| 9 | 157 | |
| 10 | 168 | |
| 11 | IgG antibodies to dengue enhanced for FcγRIIIA binding determine disease severitybreakdown → | 241 |
| 12 | 56 | |
| 13 | 264 | |
| 14 | 15 | |
| 15 | Fc-dependent depletion of tumor-infiltrating regulatory T cells co-defines the efficacy of anti–CTLA-4 therapy against melanomabreakdown → | 1093 |
| 16 | 74 | |
| 17 | 115 | |
| 18 | 202 | |
| 19 | 161 | |
| 20 | 195 |
About Jeffrey V. Ravetch
Jeffrey V. Ravetch is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 268 papers that have together received 47.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (154 papers), T-cell and B-cell Immunology (89 papers) and Glycosylation and Glycoproteins Research (82 papers). The work is most often cited by research in Immunology (29.6k citations), Radiology, Nuclear Medicine and Imaging (18.4k citations) and Immunology and Allergy (2.6k citations). Jeffrey V. Ravetch has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Falk Nimmerjahn, Silvia Bolland, Raphael Clynes, Andrew D. Luster, Terri L. Towers, Stylianos Bournazos, David J. DiLillo, Robert M. Anthony, Leonard G. Presta and Lewis L. Lanier. 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.