T. R. Brown
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Spectroscopy top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Kâmil UǧurbilRobert G. ShulmanJan A. den HollanderR. G. ShulmanSatoshi OgawaS. M. CohenRoy S. SundickN. Bagchi
- Topics
- Advanced NMR Techniques and Applications (4 papers)Hemoglobin structure and function (3 papers)Advanced MRI Techniques and Applications (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
T. R. Brown
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 608
- Radiology, Nuclear Medicine and Imaging 393
- Spectroscopy 253
- Endocrinology, Diabetes and Metabolism 146
- Nuclear and High Energy Physics 124
Countries citing papers authored by T. R. Brown
This map shows the geographic impact of T. R. Brown'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 T. R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. R. Brown more than expected).
Fields of papers citing papers by T. R. Brown
This network shows the impact of papers produced by T. R. Brown. 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 T. R. Brown. The network helps show where T. R. Brown may publish in the future.
Co-authorship network of co-authors of T. R. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of T. R. Brown. A scholar is included among the top collaborators of T. R. Brown 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 T. R. Brown. T. R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Metabolic characterization of human soft tissue sarcomas in vivo and in vitro using proton-decoupled phosphorus magnetic resonance spectroscopy. | 16 |
| 3 | 16 | |
| 4 | 3 | |
| 5 | Metabolic characterization of human non-Hodgkin's lymphomas in vivo with the use of proton-decoupled phosphorus magnetic resonance spectroscopy. | 50 |
| 6 | Identification of a putative tumor marker in breast and colon cancer. | 9 |
| 7 | 5 | |
| 8 | 68 | |
| 9 | 145 | |
| 10 | 187 | |
| 11 | 63 | |
| 12 | 261 | |
| 13 | 102 | |
| 14 | 85 | |
| 15 | 111 | |
| 16 | 110 |
About T. R. Brown
T. R. Brown is a scholar working on Spectroscopy, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (4 papers), Hemoglobin structure and function (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (393 citations), Spectroscopy (253 citations) and Clinical Biochemistry (99 citations). T. R. Brown has collaborated with scholars based in United States and Germany. Frequent co-authors include Kâmil Uǧurbil, Robert G. Shulman, Jan A. den Hollander, R. G. Shulman, Satoshi Ogawa, S. M. Cohen, Roy S. Sundick, N. Bagchi, Enrique Urdanivia and Paul Glynn. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Biochemistry.
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.