T. Yamanaka

1.3k total citations
63 papers, 1.0k citations indexed

About

T. Yamanaka is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, T. Yamanaka has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Surgery. Recurrent topics in T. Yamanaka's work include Photosynthetic Processes and Mechanisms (17 papers), Photoreceptor and optogenetics research (5 papers) and Electrochemical sensors and biosensors (4 papers). T. Yamanaka is often cited by papers focused on Photosynthetic Processes and Mechanisms (17 papers), Photoreceptor and optogenetics research (5 papers) and Electrochemical sensors and biosensors (4 papers). T. Yamanaka collaborates with scholars based in Japan, United States and Greece. T. Yamanaka's co-authors include KAZUO OKUNUKI, Kiyoshi Kusai, M. D. Kamen, Takekazu Horio, Tatsuya Higashi, Hiroshi Matsubara, Yoshihiro Fukumori, Hiroaki Okamoto, Roderich Walter and Yoshiki Sugai and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

T. Yamanaka

57 papers receiving 889 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T. Yamanaka Japan 18 556 146 143 143 136 63 1.0k
Suraj Dhungana United States 20 499 0.9× 187 1.3× 43 0.3× 68 0.5× 41 0.3× 43 1.2k
Yaling Wu China 17 296 0.5× 85 0.6× 42 0.3× 24 0.2× 61 0.4× 48 1.2k
Kei Wada Japan 25 1.0k 1.8× 91 0.6× 74 0.5× 78 0.5× 6 0.0× 83 1.7k
Catharina T. Migita Japan 24 992 1.8× 40 0.3× 29 0.2× 401 2.8× 6 0.0× 56 1.5k
Jayasree Nath United States 18 350 0.6× 77 0.5× 50 0.3× 195 1.4× 5 0.0× 38 898
Artturi Koivuniemi Finland 17 892 1.6× 32 0.2× 167 1.2× 51 0.4× 6 0.0× 46 1.3k
Juanma Ramírez Spain 23 942 1.7× 90 0.6× 126 0.9× 139 1.0× 2 0.0× 69 1.3k
Sangjin Hong United States 19 1.1k 2.1× 30 0.2× 103 0.7× 77 0.5× 3 0.0× 36 1.4k
Irving T. Salmeen United States 20 550 1.0× 13 0.1× 176 1.2× 333 2.3× 4 0.0× 46 1.3k
Ron C. Hardman United States 10 602 1.1× 17 0.1× 26 0.2× 32 0.2× 16 0.1× 14 2.0k

Countries citing papers authored by T. Yamanaka

Since Specialization
Citations

This map shows the geographic impact of T. Yamanaka'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. Yamanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yamanaka more than expected).

Fields of papers citing papers by T. Yamanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Yamanaka. 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. Yamanaka. The network helps show where T. Yamanaka may publish in the future.

Co-authorship network of co-authors of T. Yamanaka

This figure shows the co-authorship network connecting the top 25 collaborators of T. Yamanaka. A scholar is included among the top collaborators of T. Yamanaka 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 T. Yamanaka. T. Yamanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yamanaka, T., Chihiro Kondoh, Maiko Noguchi, et al.. (2025). Artificial intelligence system for predicting hand-foot skin reaction induced by vascular endothelial growth factor receptor inhibitors. Scientific Reports. 15(1). 9843–9843. 1 indexed citations
2.
Mizushima, Shunsaku, Yuhei Chiba, Asuka Yoshimi, et al.. (2025). Japan-multimodal intervention trial for the prevention of dementia in older people with lifestyle-related diseases: A community-based, 18-month, randomized controlled trial. Journal of Alzheimer s Disease. 106(2). 574–588.
3.
Shimoi, Tatsunori, Yuki Kojima, T. Yamanaka, et al.. (2024). Abstract PO3-15-12: Expression and co-expression patterns of TROP2 and HER2 in breast cancer: implications for bispecific antibody-drug conjugate therapy. Cancer Research. 84(9_Supplement). PO3–15. 2 indexed citations
4.
Yamanaka, T., et al.. (2023). Cabozantinib-induced serum creatine kinase elevation and rhabdomyolysis: a retrospective case series. Cancer Chemotherapy and Pharmacology. 92(3). 235–240. 3 indexed citations
5.
Yamanaka, T., Takeshi Yamaguchi, Yuko Tanabe, et al.. (2023). Bell's palsy during rechallenge of immune checkpoint inhibitor. IJU Case Reports. 6(2). 144–146. 3 indexed citations
6.
Yamanaka, T., Yuki Kataoka, Takeshi Yamaguchi, et al.. (2022). Efficacy of Telemedicine Using Videoconferencing Systems in Outpatient Care for Patients With Cancer: A Systematic Review and Meta-Analysis. JCO Clinical Cancer Informatics. 6(6). e2200084–e2200084. 11 indexed citations
7.
8.
Yukami, Hiroki, Daisuke Kotani, Eiji Oki, et al.. (2020). 113TiP Prospective observational study monitoring circulating tumour DNA in resectable colorectal cancer patients undergoing radical surgery: GALAXY study in CIRCULATE-Japan. Annals of Oncology. 31. S1285–S1286. 2 indexed citations
9.
Inazu, Masato, et al.. (2020). 25P Development of new therapeutic drugs for pancreatic cancer targeting choline transporter-like protein 1 (CTL1/SLC44A1). Annals of Oncology. 31. S8–S9. 1 indexed citations
10.
11.
Ikeda, Masafumi, Yuta Maruki, Makoto Ueno, et al.. (2019). Frequency and clinicopathological characteristics of biliary tract carcinomas harboring the FGFR2-fusion gene: A prospective observational study (PRELUDE study). Annals of Oncology. 30. v277–v278. 5 indexed citations
12.
Masuda, Hiroyuki, et al.. (2001). Usefulness of the Combination of Pre- and Intraoperative Selective Intraarterial Calcium Injection to Detect Residual Insulinomas.. Internal Medicine. 40(1). 48–51. 3 indexed citations
13.
Yamanaka, T.. (1996). Mechanisms of Oxidation of Inorganic Electron Donors in Autotrophic Bacteria. Plant and Cell Physiology. 37(5). 569–574. 11 indexed citations
14.
Denda, K, Tatsushi Mogi, Y Anraku, T. Yamanaka, & Yoshihiro Fukumori. (1995). Characterization of Chimeric Heme-Copper Respiratory Oxidases Using Subunits I of Escherichia coli Cytochrome b o and Halobacterium salinarium Cytochrome aa3. Biochemical and Biophysical Research Communications. 217(2). 428–436. 5 indexed citations
15.
Fukumori, Yoshihiro, et al.. (1993). Membrane-bound cytochrome c is an alternative electron donor for cytochrome aa3 in Nitrobacter winogradskyi. Journal of Bacteriology. 175(14). 4400–4404. 7 indexed citations
16.
Gai, Marı́a Nella, et al.. (1992). Thiobacillus ferrooxidans Cytochrome c Oxidase: Purification, and Molecular and Enzymatic Features. The Journal of Biochemistry. 112(6). 816–821. 38 indexed citations
17.
Yamanaka, T.. (1967). Cytochrome c and Evolution. Nature. 213(5082). 1183–1186. 27 indexed citations
18.
Yamanaka, T., et al.. (1964). Purification and some properties of cytochrome c from the protochordate Styela plicata. Biochimica et Biophysica Acta (BBA) - Specialized Section on Enzymological Subjects. 81(2). 386–388. 2 indexed citations
19.
Yamanaka, T., K. Miki, & KAZUO OKUNUKI. (1963). Purification and some properties of a c-type cytochrome from Pseudomonas saccharophila. Biochimica et Biophysica Acta. 77. 654–656. 5 indexed citations
20.
Yamanaka, T. & KAZUO OKUNUKI. (1963). Crystalline pseudomonas cytochrome oxidase. Biochimica et Biophysica Acta (BBA) - Specialized Section on Enzymological Subjects. 67. 394–406. 38 indexed citations

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.

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