Sergey Yurasov
- Immunology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Rheumatology top 1%
- Virology top 1%
- Co-authors
- Michel C. NussenzweigHedda WardemannEric MeffreMakoto TsuijiAnne SchaeferJames W. YoungThomas TillerKlara Velinzon
- Topics
- Lung Cancer Treatments and Mutations (17 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)T-cell and B-cell Immunology (9 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Sergey Yurasov
38 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 2.8k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Molecular Biology 696
- Rheumatology 654
- Virology 490
Countries citing papers authored by Sergey Yurasov
This map shows the geographic impact of Sergey Yurasov'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 Sergey Yurasov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Yurasov more than expected).
Fields of papers citing papers by Sergey Yurasov
This network shows the impact of papers produced by Sergey Yurasov. 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 Sergey Yurasov. The network helps show where Sergey Yurasov may publish in the future.
Co-authorship network of co-authors of Sergey Yurasov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Yurasov. A scholar is included among the top collaborators of Sergey Yurasov 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 Sergey Yurasov. Sergey Yurasov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 41 | |
| 6 | 33 | |
| 7 | 9 | |
| 8 | 56 | |
| 9 | 41 | |
| 10 | 356 | |
| 11 | 46 | |
| 12 | Efficient generation of monoclonal antibodies from single human B cells by single cell RT-PCR and expression vector cloningbreakdown → | 672 |
| 13 | 104 | |
| 14 | 153 | |
| 15 | 29 | |
| 16 | Predominant Autoantibody Production by Early Human B Cell Precursorsbreakdown → | 1518 |
| 17 | 20 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 20 |
About Sergey Yurasov
Sergey Yurasov is a scholar working on Virology, Immunology and Oncology, having authored 38 papers that have together received 4.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Immunology (2.8k citations), Virology (490 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Sergey Yurasov has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Michel C. Nussenzweig, Hedda Wardemann, Eric Meffre, Makoto Tsuiji, Anne Schaefer, James W. Young, Thomas Tiller, Klara Velinzon, Virginia Pascual and Johanna Hammersen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.