Takashi Ishihara
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- Thyroid Disorders and Treatments 21
- Growth Hormone and Insulin-like Growth Factors 21
- Pituitary Gland Disorders and Treatments 19
- Thyroid Cancer Diagnosis and Treatment 11
- Nephrology top 5%
- Endocrine and Autonomic Systems top 10%
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- Monoclonal and Polyclonal Antibodies Research 18
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- Protein purification and stability 18
- Viral Infectious Diseases and Gene Expression in Insects 8
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- Turtle Biology and Conservation 11
- Co-authors
- Shūichi YamamotoNaoki HattoriK IkekuboHiroyuki KurahachiMegumu HinoMitsuaki IsobeGo HaraguchiHirokazu Ohigashi
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takashi Ishihara
142 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 137
- Endocrinology, Diabetes and Metabolism 841
- Nephrology 113
- Endocrine and Autonomic Systems 90
- Radiology, Nuclear Medicine and Imaging 287
- Pulmonary and Respiratory Medicine 386
Countries citing papers authored by Takashi Ishihara
This map shows the geographic impact of Takashi Ishihara'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 Takashi Ishihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Ishihara more than expected).
Fields of papers citing papers by Takashi Ishihara
This network shows the impact of papers produced by Takashi Ishihara. 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 Takashi Ishihara. The network helps show where Takashi Ishihara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Ishihara, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2011 | 6 | |
| 13 | 2010 | 5 | |
| 14 | 2006 | 11 | |
| 15 | 2006 | 22 | |
| 16 | 2004 | 68 | |
| 17 | 1992 | 80 | |
| 18 | 1989 | 15 | |
| 19 | 1987 | 2 | |
| 20 | 1986 | 1 |
About Takashi Ishihara
Takashi Ishihara is a scholar working on Endocrinology, Diabetes and Metabolism, Nature and Landscape Conservation and Radiology, Nuclear Medicine and Imaging, having authored 147 papers that have together received 2.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (21 papers), Growth Hormone and Insulin-like Growth Factors (21 papers), Pituitary Gland Disorders and Treatments (19 papers), Protein purification and stability (18 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Thyroid Cancer Diagnosis and Treatment (11 papers), Turtle Biology and Conservation (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (841 citations), Nephrology (113 citations) and Endocrine and Autonomic Systems (90 citations). Takashi Ishihara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shūichi Yamamoto, Naoki Hattori, K Ikekubo, Hiroyuki Kurahachi, Megumu Hino, Mitsuaki Isobe, Go Haraguchi, Hirokazu Ohigashi, Daisuke Tezuka and Kunisaburo Moridera. Their work appears in journals such as Blood, Applied Physics Letters and Journal of Applied Physics.
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.