Tan Tominaga
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Surgery
- Co-authors
- Naokata YokoyamaShigenobu NagatakiYasuyo AbeKazunari MatsumotoSeibei MiyakeKiyoto AshizawaMasazumi AkahoshiMidori Soda
- Topics
- Thyroid Cancer Diagnosis and Treatment (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)Thyroid Disorders and Treatments (5 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Tan Tominaga
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 650
- Molecular Biology 273
- Cardiology and Cardiovascular Medicine 234
- Epidemiology 209
- Surgery 183
Countries citing papers authored by Tan Tominaga
This map shows the geographic impact of Tan Tominaga'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 Tan Tominaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Tominaga more than expected).
Fields of papers citing papers by Tan Tominaga
This network shows the impact of papers produced by Tan Tominaga. 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 Tan Tominaga. The network helps show where Tan Tominaga may publish in the future.
Co-authorship network of co-authors of Tan Tominaga
This figure shows the co-authorship network connecting the top 25 collaborators of Tan Tominaga. A scholar is included among the top collaborators of Tan Tominaga 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 Tan Tominaga. Tan Tominaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | Elevated High-sensitivity C-reactive Protein Correlates with Insulin Resistance and Hyper-E-selectinemia in Patients with Type 2 Diabetes | 1 |
| 5 | 60 | |
| 6 | 42 | |
| 7 | 8 | |
| 8 | 61 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | Antineutrophil Cytoplasmic Antibody-associated Vasculitis Complicating Graves' Disease: Report of Two Adult Cases | 2 |
| 13 | 25 | |
| 14 | 64 | |
| 15 | 20 | |
| 16 | 203 | |
| 17 | 48 | |
| 18 | 19 | |
| 19 | 3 | |
| 20 | [Phase II study of 5'-DFUR in gastrointestinal and breast cancer]. | 1 |
About Tan Tominaga
Tan Tominaga is a scholar working on Endocrinology, Diabetes and Metabolism, Microbiology and Endocrine and Autonomic Systems, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (650 citations), Microbiology (11 citations) and Cardiology and Cardiovascular Medicine (234 citations). Tan Tominaga has collaborated with scholars based in Japan and United States. Frequent co-authors include Naokata Yokoyama, Shigenobu Nagataki, Yasuyo Abe, Kazunari Matsumoto, Seibei Miyake, Kiyoto Ashizawa, Masazumi Akahoshi, Midori Soda, Toshiro Usa and Yukitaka Ueki. Their work appears in journals such as JAMA, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.