Tetsuhiro Goto

1.3k total citations
47 papers, 1.1k citations indexed

About

Tetsuhiro Goto is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Tetsuhiro Goto has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Pathology and Forensic Medicine and 14 papers in Oncology. Recurrent topics in Tetsuhiro Goto's work include Epigenetics and DNA Methylation (14 papers), Genetic factors in colorectal cancer (14 papers) and Cancer-related gene regulation (13 papers). Tetsuhiro Goto is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Genetic factors in colorectal cancer (14 papers) and Cancer-related gene regulation (13 papers). Tetsuhiro Goto collaborates with scholars based in Japan and China. Tetsuhiro Goto's co-authors include Kenji Hibi, Mariko Saito, Hiroshi Nemoto, Gaku Kigawa, Atsushi Shirahata, Yutaka Sanada, Kazuyoshi Ishibashi, Hiroki Mizukami, Kazuma Sakuraba and Makiko Sakata and has published in prestigious journals such as Journal of Hepatology, Journal of Neurology Neurosurgery & Psychiatry and Cancer Letters.

In The Last Decade

Tetsuhiro Goto

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuhiro Goto Japan 20 698 368 251 219 172 47 1.1k
Hiroki Mizukami Japan 20 646 0.9× 361 1.0× 226 0.9× 188 0.9× 179 1.0× 47 1.0k
Teru Kawasoe Japan 11 953 1.4× 332 0.9× 292 1.2× 183 0.8× 64 0.4× 18 1.3k
Huai-Xiang Hao United States 10 1.0k 1.5× 471 1.3× 197 0.8× 152 0.7× 153 0.9× 12 1.4k
Kazuyoshi Ishibashi Japan 19 580 0.8× 314 0.9× 197 0.8× 172 0.8× 116 0.7× 45 865
Kandavel Shanmugam United States 13 629 0.9× 509 1.4× 179 0.7× 195 0.9× 139 0.8× 27 1.1k
Patricia Legoix France 12 755 1.1× 248 0.7× 172 0.7× 140 0.6× 90 0.5× 18 1.1k
Atsushi Shirahata Japan 20 640 0.9× 374 1.0× 239 1.0× 215 1.0× 165 1.0× 46 988
Koichi Fukino Japan 14 451 0.6× 462 1.3× 252 1.0× 106 0.5× 151 0.9× 19 824
Marco Losa Switzerland 11 334 0.5× 456 1.2× 154 0.6× 146 0.7× 242 1.4× 20 812
Rongfa Yuan China 19 559 0.8× 337 0.9× 241 1.0× 60 0.3× 217 1.3× 44 962

Countries citing papers authored by Tetsuhiro Goto

Since Specialization
Citations

This map shows the geographic impact of Tetsuhiro Goto'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 Tetsuhiro Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuhiro Goto more than expected).

Fields of papers citing papers by Tetsuhiro Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuhiro Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuhiro Goto. A scholar is included among the top collaborators of Tetsuhiro Goto 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 Tetsuhiro Goto. Tetsuhiro Goto 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.
Yano, Masao, et al.. (2014). Two Cases of Usefulness of Interventional Radiology for Massive Bleeding from Locally Advanced Breast Cancer. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 75(12). 3249–3253.
2.
Hibi, Kenji, Tetsuhiro Goto, Atsushi Shirahata, et al.. (2012). Methylation of TFPI2 no longer detected in the serum DNA of colorectal cancer patients after curative surgery.. PubMed. 32(3). 787–90. 8 indexed citations
3.
Nemoto, Hiroshi, Genshu Tate, Koji Kishimoto, et al.. (2012). Heterozygous loss of NF2 is an early molecular alteration in well-differentiated papillary mesothelioma of the peritoneum. Cancer Genetics. 205(11). 594–598. 19 indexed citations
4.
Hibi, Kenji, Tetsuhiro Goto, Atsushi Shirahata, et al.. (2011). Detection of TFPI2 methylation in the serum of colorectal cancer patients. Cancer Letters. 311(1). 96–100. 65 indexed citations
5.
Kitamura, Yohei, Atsushi Shirahata, Kazuma Sakuraba, et al.. (2011). Aberrant methylation of the Vimentin gene in hepatocellular carcinoma.. PubMed. 31(4). 1289–91. 17 indexed citations
6.
Sakata, Makiko, Kazuma Sakuraba, Kazuaki Yokomizo, et al.. (2011). Methylation of the homeobox gene, HOPX, is frequently detected in poorly differentiated colorectal cancer.. PubMed. 31(9). 2889–92. 15 indexed citations
7.
Shirahata, Atsushi, Fan Wu, Kazuma Sakuraba, et al.. (2011). MACC 1 as a marker for vascular invasive hepatocellular carcinoma.. PubMed. 31(3). 777–80. 63 indexed citations
8.
Wu, Fan, Atsushi Shirahata, Kazuma Sakuraba, et al.. (2011). Down-regulation of EGFL8: a novel prognostic biomarker for patients with colorectal cancer.. PubMed. 31(6). 2249–54. 10 indexed citations
9.
Goto, Tetsuhiro, et al.. (2011). [Diamine oxidase as blood biomarker in rats and humans to GI tract toxicity of fluorouracil anti-cancer drugs].. PubMed. 38(5). 765–9. 2 indexed citations
10.
Wu, Fan, Atsushi Shirahata, Kazuma Sakuraba, et al.. (2010). Downregulation of Mus81 as a novel prognostic biomarker for patients with colorectal carcinoma. Cancer Science. 102(2). 472–477. 25 indexed citations
11.
Shirahata, Atsushi, Kazuma Sakuraba, Tetsuhiro Goto, et al.. (2010). Detection of vimentin (VIM) methylation in the serum of colorectal cancer patients.. PubMed. 30(12). 5015–8. 21 indexed citations
12.
Shirahata, Atsushi, Yohei Kitamura, Kazuma Sakuraba, et al.. (2010). MACC1 as a marker for advanced colorectal carcinoma.. PubMed. 30(7). 2689–92. 53 indexed citations
13.
Hibi, Kenji, Makiko Sakata, Kazuma Sakuraba, et al.. (2009). CD133 gene overexpression is frequently observed in early colorectal carcinoma.. PubMed. 56(93). 995–7. 3 indexed citations
14.
Hibi, Kenji, Tetsuhiro Goto, Hiroki Mizukami, et al.. (2009). Demethylation of the CD133 gene is frequently detected in advanced colorectal cancer.. PubMed. 29(6). 2215–7. 34 indexed citations
15.
Sakuraba, Kazuma, Takashi Yasuda, Makiko Sakata, et al.. (2009). Down-regulation of Tip60 gene as a potential marker for the malignancy of colorectal cancer.. PubMed. 29(10). 3953–5. 42 indexed citations
16.
Shirahata, Atsushi, Makiko Sakata, Kazuma Sakuraba, et al.. (2009). Vimentin methylation as a marker for advanced colorectal carcinoma.. PubMed. 29(1). 279–81. 57 indexed citations
17.
Kitamura, Yohei, Atsushi Shirahata, Makiko Sakata, et al.. (2009). Frequent methylation of Vimentin in well-differentiated gastric carcinoma.. PubMed. 29(6). 2227–9. 19 indexed citations
18.
Hibi, Kenji, Makiko Sakata, Kazuma Sakuraba, et al.. (2009). Changes in UNC5C gene methylation during human gastric carcinogenesis.. PubMed. 29(11). 4397–9. 11 indexed citations
19.
Yamashiro, Shigeo, Toru Nishi, Kaori Koga, et al.. (2006). Improvement of quality of life in patients surgically treated for asymptomatic unruptured intracranial aneurysms. Journal of Neurology Neurosurgery & Psychiatry. 78(5). 497–500. 46 indexed citations
20.
Goto, Tetsuhiro, et al.. (1957). So-called kyushoku disease: result of inoculation into human volunteers and their clinical manifestations.. PubMed. 8(2). 100–9. 1 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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