Randall K. Ribaudo
- Co-authors
- Wayne M. YokoyamaFranz KarlhoferDavid H. MarguliesMichael J. ShieldsSteven KozlowskiElizabeth K. BikoffRonald N. GermainGillis R. Otten
- Topics
- Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (11 papers)Immunotherapy and Immune Responses (9 papers)
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- United StatesItalyFrance
In The Last Decade
Randall K. Ribaudo
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 1.2k
- Molecular Biology 282
- Oncology 179
- Radiology, Nuclear Medicine and Imaging 105
- Epidemiology 100
Countries citing papers authored by Randall K. Ribaudo
This map shows the geographic impact of Randall K. Ribaudo'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 Randall K. Ribaudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randall K. Ribaudo more than expected).
Fields of papers citing papers by Randall K. Ribaudo
This network shows the impact of papers produced by Randall K. Ribaudo. 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 Randall K. Ribaudo. The network helps show where Randall K. Ribaudo may publish in the future.
Co-authorship network of co-authors of Randall K. Ribaudo
This figure shows the co-authorship network connecting the top 25 collaborators of Randall K. Ribaudo. A scholar is included among the top collaborators of Randall K. Ribaudo 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 Randall K. Ribaudo. Randall K. Ribaudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | MHC Class I alloantigen specificity of Ly-49+ IL-2-activated natural killer cells. Nature 358: 66-70, 1992. | 5 |
| 2 | 24 | |
| 3 | 28 | |
| 4 | 26 | |
| 5 | 25 | |
| 6 | 27 | |
| 7 | 66 | |
| 8 | Characterization of the interactions between MHC class I subunits: a systematic approach for the engineering of higher affinity variants of beta 2-microglobulin. | 29 |
| 9 | 60 | |
| 10 | 26 | |
| 11 | 18 | |
| 12 | 60 | |
| 13 | 16 | |
| 14 | MHC class I alloantigen specificity of Ly-49+ IL-2-activated natural killer cellsbreakdown → | 656 |
| 15 | 32 | |
| 16 | 68 | |
| 17 | 118 | |
| 18 | 45 | |
| 19 | 2 | |
| 20 | Effects of mercury on human polymorphonuclear leukocyte function in vitro. | 35 |
About Randall K. Ribaudo
Randall K. Ribaudo is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (179 citations) and Hematology (69 citations). Randall K. Ribaudo has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Wayne M. Yokoyama, Franz Karlhofer, David H. Margulies, Michael J. Shields, Steven Kozlowski, Elizabeth K. Bikoff, Ronald N. Germain, Gillis R. Otten, Jean‐Pierre Abastado and Naoki Matsumoto. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.