Vicki L. Sato
- Immunology top 1%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Epidemiology top 10%
- Hematology top 5%
- Co-authors
- Lawrence J. WysockiDavid NemazeeKazuya HigashinoMark FlemingHaruki OkamuraKenji NakanishiRichard A. FlavellGeorge Ku
- Topics
- T-cell and B-cell Immunology (9 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Glycosylation and Glycoproteins Research (4 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Vicki L. Sato
20 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 2.0k
- Molecular Biology 1.4k
- Radiology, Nuclear Medicine and Imaging 817
- Epidemiology 273
- Hematology 219
Countries citing papers authored by Vicki L. Sato
This map shows the geographic impact of Vicki L. Sato'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 Vicki L. Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicki L. Sato more than expected).
Fields of papers citing papers by Vicki L. Sato
This network shows the impact of papers produced by Vicki L. Sato. 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 Vicki L. Sato. The network helps show where Vicki L. Sato may publish in the future.
Co-authorship network of co-authors of Vicki L. Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Vicki L. Sato. A scholar is included among the top collaborators of Vicki L. Sato 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 Vicki L. Sato. Vicki L. Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Langer Lab: Commercializing Science (TP) | 2 |
| 2 | PerkinElmer Developing Products in China for China | 1 |
| 3 | China Novartis Institute for Biomedical Research: Building a Sustainable, Globally Integrated Research Enterprise | 1 |
| 4 | 125 | |
| 5 | 20 | |
| 6 | 114 | |
| 7 | 20 | |
| 8 | 24 | |
| 9 | 8 | |
| 10 | 46 | |
| 11 | 29 | |
| 12 | 57 | |
| 13 | 37 | |
| 14 | "Panning" for lymphocytes: a method for cell selection.breakdown → | 1183 |
| 15 | 198 | |
| 16 | 77 | |
| 17 | 97 | |
| 18 | Experiments for the application of fluorescent antibody method to histological diagnosis of anisakiasis. 1. Reactivities of anti-Anisakis crude antigen IgG and anti-Anisakis purified antigen IgG to the section of Anisakis larva under various conditions. | 1 |
| 19 | 57 | |
| 20 | 23 |
About Vicki L. Sato
Vicki L. Sato is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (2.0k citations), Radiology, Nuclear Medicine and Imaging (817 citations) and Immunology and Allergy (140 citations). Vicki L. Sato has collaborated with scholars based in United States and Japan. Frequent co-authors include Lawrence J. Wysocki, David Nemazee, Kazuya Higashino, Mark Fleming, Haruki Okamura, Kenji Nakanishi, Richard A. Flavell, George Ku, Masashi Kurimoto and David J. Livingston. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.