T Ban
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
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- Neuropeptides and Animal Physiology
Papers in
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- Monoclonal and Polyclonal Antibodies Research 6
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- Thyroid Disorders and Treatments 7
- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Leonard D. Kohn (10 shared papers)Shinji Kosugi (6 shared papers)Takashi Akamizu (3 shared papers)Shinji Kosugi (2 shared papers)Akinari Hidaka (3 shared papers)Fumikazu Okajima (3 shared papers)Andrew Shenker (2 shared papers)John Moriarty (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Molecular Endocrinology (3 papers)Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)Journal of Thoracic and Cardiovascular Surgery (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
T Ban
16 papers receiving 680 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 327
- Cellular and Molecular Neuroscience 179
- Reproductive Medicine 82
- Immunology 129
- Radiology, Nuclear Medicine and Imaging 134
Countries citing papers authored by T Ban
This map shows the geographic impact of T Ban'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 Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Ban more than expected).
Fields of papers citing papers by T Ban
This network shows the impact of papers produced by T Ban. 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 Ban. The network helps show where T Ban may publish in the future.
Co-authors
The 25 scholars most cited alongside T Ban, 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 | 1992 | 107 | |
| 2 | 1991 | 92 | |
| 3 | 1992 | 73 | |
| 4 | 1992 | 66 | |
| 5 | 1993 | 62 | |
| 6 | 1993 | 58 | |
| 7 | 1992 | 56 | |
| 8 | 1998 | 51 | |
| 9 | 1992 | 44 | |
| 10 | 1993 | 29 | |
| 11 | 1992 | 25 | |
| 12 | 1993 | 13 | |
| 13 | 1995 | 11 | |
| 14 | 1997 | 8 | |
| 15 | 1988 | 3 | |
| 16 | 1991 | 2 |
About T Ban
T Ban is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 700 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Adhesion Molecules Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Glycosylation and Glycoproteins Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Ophthalmology and Eye Disorders (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (327 citations), Cellular and Molecular Neuroscience (179 citations), Reproductive Medicine (82 citations), Immunology (129 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). T Ban has collaborated with scholars based in United States and Japan. Frequent co-authors include Leonard D. Kohn, Shinji Kosugi, Takashi Akamizu, Shinji Kosugi, Akinari Hidaka, Fumikazu Okajima, Andrew Shenker, John Moriarty, Dinah S. Singer and Motoyasu Saji. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology, Endocrinology, Journal of Biological Chemistry and Journal of Thoracic and Cardiovascular Surgery.
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.