Takashi Etoh
- Molecular Biology
- Clinical Biochemistry top 2%
- Epidemiology
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Toyoshi InoguchiHajime NawataMaiko KakimotoToshiyo SontaNoriyuki SonodaHideki SumimotoHirotaka TsubouchiKunihisa Kobayashi
- Topics
- Mass Spectrometry Techniques and Applications (3 papers)Hepatitis Viruses Studies and Epidemiology (3 papers)Hepatitis B Virus Studies (3 papers)
In The Last Decade
Takashi Etoh
17 papers receiving 771 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 266
- Clinical Biochemistry 177
- Epidemiology 172
- Physiology 155
- Endocrinology, Diabetes and Metabolism 113
Countries citing papers authored by Takashi Etoh
This map shows the geographic impact of Takashi Etoh'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 Etoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Etoh more than expected).
Fields of papers citing papers by Takashi Etoh
This network shows the impact of papers produced by Takashi Etoh. 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 Etoh. The network helps show where Takashi Etoh may publish in the future.
Co-authorship network of co-authors of Takashi Etoh
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Etoh. A scholar is included among the top collaborators of Takashi Etoh 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 Takashi Etoh. Takashi Etoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 36 | |
| 3 | [Investigation of preoperative respiratory evaluation in four cases of myasthenia gravis undergoing extended thymectomy in the past two years]. | 1 |
| 4 | [Anesthetic management of a child with myotubular myopathy who underwent two operations using only total intravenous anesthesia (TIVA)]. | 2 |
| 5 | Palliative re-irradiation for in-field recurrence after definitive radiotherapy in patients with primary lung cancer. | 30 |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 355 | |
| 9 | 4 | |
| 10 | 184 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 98 | |
| 16 | 34 | |
| 17 | 1 |
About Takashi Etoh
Takashi Etoh is a scholar working on Clinical Biochemistry, Hepatology and Spectroscopy, having authored 17 papers that have together received 800 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Clinical Biochemistry (177 citations), Hepatology (106 citations) and Nephrology (77 citations). Takashi Etoh has collaborated with scholars based in Japan and Taiwan. Frequent co-authors include Toyoshi Inoguchi, Hajime Nawata, Maiko Kakimoto, Toshiyo Sonta, Noriyuki Sonoda, Hideki Sumimoto, Hirotaka Tsubouchi, Kunihisa Kobayashi, Naoichi Sato and Hideo Utsumi. Their work appears in journals such as Diabetes, Journal of the American Society of Nephrology and The Journal of Pediatrics.
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.