R T Smith
- Molecular Biology
- Immunology
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics top 10%
- Co-authors
- F. M. KourilskyJoseph H. BurchenalPeter CliffordMichael A. NorcrossV C MainoMorgan ThomasAndreas BenderChris de Graaf
- Topics
- Medical Imaging Techniques and Applications (4 papers)Numerical methods in inverse problems (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Journals
- The Journal of ImmunologyJNCI Journal of the National Cancer InstituteJournal of Medicinal Chemistry
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
R T Smith
17 papers receiving 355 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 136
- Immunology 125
- Oncology 106
- Radiology, Nuclear Medicine and Imaging 68
- Computational Theory and Mathematics 65
Countries citing papers authored by R T Smith
This map shows the geographic impact of R T 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 R T Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R T Smith more than expected).
Fields of papers citing papers by R T Smith
This network shows the impact of papers produced by R T 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 R T Smith. The network helps show where R T Smith may publish in the future.
Co-authorship network of co-authors of R T Smith
This figure shows the co-authorship network connecting the top 25 collaborators of R T Smith. A scholar is included among the top collaborators of R T Smith 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 R T Smith. R T Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 76 | |
| 5 | Sampling the sinogram in computed tomography | 2 |
| 6 | 22 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | a Class of Inverse Scattering Problems in Acoustics. | 1 |
| 15 | 47 | |
| 16 | 5 | |
| 17 | Helper cell requirement for lps-induced proliferation of thymus cells. Abstr. | 0 |
| 18 | Functional and antigenic heterogeneity of thymus cell subpopulations. Abstr. | 3 |
| 19 | 125 |
About R T Smith
R T Smith is a scholar working on Mathematical Physics, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 19 papers that have together received 402 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Numerical methods in inverse problems (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (125 citations), Computational Theory and Mathematics (65 citations) and Oncology (106 citations). R T Smith has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include F. M. Kourilsky, Joseph H. Burchenal, Peter Clifford, Michael A. Norcross, V C Maino, Morgan Thomas, Andreas Bender, Chris de Graaf, Noel M. O’Boyle and Iain Kilty. Their work appears in journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and Journal of Medicinal Chemistry.
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.