Hidehiro Takei
- Genetics top 2%
- Glioma Diagnosis and Treatment 28
- Estrogen and related hormone effects 15
- Neurology top 2%
- Neurofibromatosis and Schwannoma Cases 12
- Vascular Malformations Diagnosis and Treatment 8
- Parasitology top 5%
- Oncology top 5%
- Cancer Research top 10%
- Breast Cancer Treatment Studies 15
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- Meningioma and schwannoma management 14
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- Lung Cancer Treatments and Mutations 8
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- Salivary Gland Tumors Diagnosis and Treatment 8
- Co-authors
- Suzanne Z. PowellMeenakshi B. BhattacharjeeAndreana L. RiveraMatthew D. CykowskiShin TsunekawaAdekunle M. AdesinaJae Y. RoH. Matsubayashi
- Cited by
- GeneticsNeurologyParasitology
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Hidehiro Takei
166 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Genetics 380
- Neurology 494
- Parasitology 129
- Oncology 507
- Cancer Research 273
Countries citing papers authored by Hidehiro Takei
This map shows the geographic impact of Hidehiro Takei'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 Hidehiro Takei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiro Takei more than expected).
Fields of papers citing papers by Hidehiro Takei
This network shows the impact of papers produced by Hidehiro Takei. 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 Hidehiro Takei. The network helps show where Hidehiro Takei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hidehiro Takei, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 0 | |
| 7 | 2020 | 6 | |
| 8 | 2018 | 26 | |
| 9 | 2014 | 17 | |
| 10 | 2009 | 36 | |
| 11 | 2008 | 21 | |
| 12 | 2008 | 36 | |
| 13 | 2007 | 20 | |
| 14 | 2007 | 8 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 23 | |
| 17 | 2004 | 1 | |
| 18 | 2004 | 2 | |
| 19 | [Intraoperative conversion and postoperative complication of video-assisted thoracoscopic surgery lobectomy for primary lung cancer]. | 2003 | 3 |
| 20 | 2000 | 7 |
About Hidehiro Takei
Hidehiro Takei is a scholar working on Genetics, Neurology, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 177 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Estrogen and related hormone effects (15 papers), Breast Cancer Treatment Studies (15 papers), Meningioma and schwannoma management (14 papers), Neurofibromatosis and Schwannoma Cases (12 papers), Vascular Malformations Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Salivary Gland Tumors Diagnosis and Treatment (8 papers). The work is most often cited by research in Genetics (380 citations), Neurology (494 citations), Parasitology (129 citations), Oncology (507 citations) and Cancer Research (273 citations). Hidehiro Takei has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Suzanne Z. Powell, Meenakshi B. Bhattacharjee, Andreana L. Rivera, Matthew D. Cykowski, Shin Tsunekawa, Adekunle M. Adesina, Jae Y. Ro, H. Matsubayashi, Shotaro Hagiwara and Stanley H. Appel. Their work appears in journals such as Neuropathology, Oncology Reports, Pathology International, Archives of Pathology & Laboratory Medicine and Acta Cytologica.
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.