T. Utsunomiya
- Pharmacology top 1%
- Immunology top 10%
- Molecular Biology
- Complementary and alternative medicine top 5%
- Epidemiology
- Co-authors
- Richard B. PollardFumitaka SuzukiMakoto KobayashiFujio SuzukiMakiko KobayashiDavid N. HerndonDavid A. SchmittMakio Kobayashi
- Topics
- Pharmacological Effects of Natural Compounds (13 papers)Immune Response and Inflammation (6 papers)Herbal Medicine Research Studies (6 papers)
- Journals
- The Journal of ImmunologyJournal of Applied PhysiologyAntimicrobial Agents and Chemotherapy
- Partner nations
- United StatesJapan
In The Last Decade
T. Utsunomiya
20 papers receiving 461 citations
Peers
Comparison fields: 5 of 70
- Pharmacology 283
- Immunology 232
- Molecular Biology 127
- Complementary and alternative medicine 94
- Epidemiology 89
Countries citing papers authored by T. Utsunomiya
This map shows the geographic impact of T. Utsunomiya'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. Utsunomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Utsunomiya more than expected).
Fields of papers citing papers by T. Utsunomiya
This network shows the impact of papers produced by T. Utsunomiya. 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. Utsunomiya. The network helps show where T. Utsunomiya may publish in the future.
Co-authorship network of co-authors of T. Utsunomiya
This figure shows the co-authorship network connecting the top 25 collaborators of T. Utsunomiya. A scholar is included among the top collaborators of T. Utsunomiya 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. Utsunomiya. T. Utsunomiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 30 | |
| 3 | Inhibitory effect of glycyrrhizin on experimental pulmonary metastasis in mice inoculated with B16 melanoma. | 33 |
| 4 | 15 | |
| 5 | 18 | |
| 6 | 25 | |
| 7 | 37 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 22 | |
| 19 | Stimulation of host resistance against tumors by glycyrrhizin, an active component of licorice roots. | 13 |
| 20 | 2 |
About T. Utsunomiya
T. Utsunomiya is a scholar working on Pharmacology, Complementary and alternative medicine and Immunology, having authored 21 papers that have together received 485 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (13 papers), Immune Response and Inflammation (6 papers) and Herbal Medicine Research Studies (6 papers). The work is most often cited by research in Pharmacology (283 citations), Complementary and alternative medicine (94 citations) and Immunology (232 citations). T. Utsunomiya has collaborated with scholars based in United States and Japan. Frequent co-authors include Richard B. Pollard, Fumitaka Suzuki, Makoto Kobayashi, Fujio Suzuki, Makiko Kobayashi, David N. Herndon, Makiko Kobayashi, David A. Schmitt, Makio Kobayashi and David N. Herndon. Their work appears in journals such as The Journal of Immunology, Journal of Applied Physiology and Antimicrobial Agents and Chemotherapy.
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.