Ross S. Basch
- Hematology top 2%
- Platelet Disorders and Treatments 8
- Hematopoietic Stem Cell Transplantation 8
- Immunology top 2%
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 10
- Genetics top 5%
- Mesenchymal stem cell research 8
- Virology top 5%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 8
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- Monoclonal and Polyclonal Antibodies Research 18
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- Cancer Cells and Metastasis 7
- Co-authors
- J L KadishJoan W. BermanGideon GoldsteinSimon KarpatkinXinmin ZhangClaudio BasilicoSagrario OrtegaDavid L. Miller
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Ross S. Basch
90 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 126
- Hematology 534
- Immunology 924
- Genetics 306
- Virology 82
- Molecular Biology 1.1k
Countries citing papers authored by Ross S. Basch
This map shows the geographic impact of Ross S. Basch'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 Ross S. Basch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross S. Basch more than expected).
Fields of papers citing papers by Ross S. Basch
This network shows the impact of papers produced by Ross S. Basch. 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 Ross S. Basch. The network helps show where Ross S. Basch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ross S. Basch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 7 | |
| 2 | 2016 | 2 | |
| 3 | 2016 | 28 | |
| 4 | 2013 | 33 | |
| 5 | 2006 | 37 | |
| 6 | 2001 | 119 | |
| 7 | 2000 | 9 | |
| 8 | 2000 | 28 | |
| 9 | 1999 | 13 | |
| 10 | 1998 | 18 | |
| 11 | 1996 | 11 | |
| 12 | 1995 | 20 | |
| 13 | 1992 | 5 | |
| 14 | 1991 | 1 | |
| 15 | 1991 | 4 | |
| 16 | 1989 | 65 | |
| 17 | 1978 | 73 | |
| 18 | 1977 | 74 | |
| 19 | 1976 | 133 | |
| 20 | Peripheral lymphocytes bearing tl antigens. | 1975 | 1 |
About Ross S. Basch
Ross S. Basch is a scholar working on Immunology, Hematology, Genetics, Radiology, Nuclear Medicine and Imaging and Virology, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers), Platelet Disorders and Treatments (8 papers), Glycosylation and Glycoproteins Research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Mesenchymal stem cell research (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Hematology (534 citations), Immunology (924 citations), Genetics (306 citations), Virology (82 citations) and Molecular Biology (1.1k citations). Ross S. Basch has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include J L Kadish, Joan W. Berman, Gideon Goldstein, Simon Karpatkin, Xinmin Zhang, Claudio Basilico, Sagrario Ortega, David L. Miller, Chandler A. Stetson and Yao-Qi Huang. Their work appears in journals such as Blood, The Journal of Immunology, Cellular Immunology, 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.