SM Baird
- Immunology top 10%
- T-cell and Retrovirus Studies 4
- Immunodeficiency and Autoimmune Disorders 3
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 4
- Virus-based gene therapy research 2
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 5
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 2
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- Monoclonal and Polyclonal Antibodies Research 4
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- Viral-associated cancers and disorders 2
- Co-authors
- Jayne LesleyRichard A. HeymanRobert HymanDavid J. AndersonRonald M. EvansEmiliana BorrelliIrving L. WeissmanT J Kipps
- Journals
- Blood (6 papers)The Journal of Immunology (2 papers)Current topics in microbiology and immunology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
SM Baird
13 papers receiving 572 citations
Peers
Comparison fields: 5 of 64
- Immunology 309
- Genetics 129
- Pathology and Forensic Medicine 129
- Agronomy and Crop Science 65
- Virology 20
Countries citing papers authored by SM Baird
This map shows the geographic impact of SM Baird'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 SM Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SM Baird more than expected).
Fields of papers citing papers by SM Baird
This network shows the impact of papers produced by SM Baird. 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 SM Baird. The network helps show where SM Baird may publish in the future.
Co-authorship network
The 25 scholars most cited alongside SM Baird, 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 | Platelet-derived growth factor-B/v-sis confers a tumorigenic and metastatic phenotype to human T98G glioblastoma cells. | 1996 | 38 |
| 2 | 1993 | 47 | |
| 3 | 1993 | 57 | |
| 4 | 1993 | 46 | |
| 5 | 1993 | 57 | |
| 6 | 1993 | 3 | |
| 7 | EBV-induced human B cell lymphomas in hu-PBL-SCID mice. | 1992 | 24 |
| 8 | 1990 | 30 | |
| 9 | 1990 | 66 | |
| 10 | 1990 | 1 | |
| 11 | 1989 | 155 | |
| 12 | 1983 | 1 | |
| 13 | 1977 | 49 | |
| 14 | 1971 | 21 |
About SM Baird
SM Baird is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Agronomy and Crop Science and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 595 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), T-cell and Retrovirus Studies (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Virus-based gene therapy research (2 papers), Viral-associated cancers and disorders (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Immunology (309 citations), Genetics (129 citations), Pathology and Forensic Medicine (129 citations), Agronomy and Crop Science (65 citations) and Virology (20 citations). SM Baird has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jayne Lesley, Richard A. Heyman, Robert Hyman, David J. Anderson, Ronald M. Evans, Emiliana Borrelli, Irving L. Weissman, T J Kipps, IS Chen and N Gadol. Their work appears in journals such as Blood, The Journal of Immunology, Current topics in microbiology and immunology, Proceedings of the National Academy of Sciences and Cold Spring Harbor Symposia on Quantitative Biology.
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.