KA Smith
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- T-cell and Retrovirus Studies
- Immune Response and Inflammation
- Toxin Mechanisms and Immunotoxins
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- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 2
- Oncology 7
- Polyomavirus and related diseases 2
- Co-authors
- Allan Munck (2 shared papers)Kazuyoshi Nakanishi (1 shared paper)Thomas R. Malek (1 shared paper)E M Shevach (1 shared paper)W E Paul (1 shared paper)Takafumi Hamaoka (1 shared paper)Gavin Thurston (2 shared papers)George D. Wilson (1 shared paper)
- Journals
- Blood (8 papers)British Journal of Cancer (3 papers)The Journal of Experimental Medicine (2 papers)Journal of Minimally Invasive Gynecology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
KA Smith
15 papers receiving 1.5k citations
KA Smith's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 1.1k
- Radiology, Nuclear Medicine and Imaging 271
- Oncology 242
- Virology 38
- Biotechnology 75
Countries citing papers authored by KA Smith
This map shows the geographic impact of KA Smith'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 KA Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KA Smith more than expected).
Fields of papers citing papers by KA Smith
This network shows the impact of papers produced by KA Smith. 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 KA Smith. The network helps show where KA Smith may publish in the future.
Co-authors
The 22 scholars most cited alongside KA Smith, 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 | T cell growth factor receptors. Quantitation, specificity, and biological relevance Hit paper breakdown → | 1981 | 970 |
| 2 | 1989 | 225 | |
| 3 | 1993 | 119 | |
| 4 | 1984 | 100 | |
| 5 | 1993 | 93 | |
| 6 | 1991 | 70 | |
| 7 | 1989 | 38 | |
| 8 | 1979 | 16 | |
| 9 | 1981 | 11 | |
| 10 | 1992 | 6 | |
| 11 | 1991 | 6 | |
| 12 | 1977 | 3 | |
| 13 | 1983 | 2 | |
| 14 | 1979 | 1 | |
| 15 | 2016 | 1 |
About KA Smith
KA Smith is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Genetics, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Angiogenesis and VEGF in Cancer (2 papers), Platelet Disorders and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Polyomavirus and related diseases (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (1.1k citations), Radiology, Nuclear Medicine and Imaging (271 citations), Oncology (242 citations), Virology (38 citations) and Biotechnology (75 citations). KA Smith has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Allan Munck, Kazuyoshi Nakanishi, Thomas R. Malek, E M Shevach, W E Paul, Takafumi Hamaoka, Gavin Thurston, George D. Wilson, J. PARRICK and R.J. Hodgkiss. Their work appears in journals such as Blood, British Journal of Cancer, The Journal of Experimental Medicine, Journal of Minimally Invasive Gynecology and PubMed.
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.