Jinsei Miyoshi

696 total citations
17 papers, 434 citations indexed

About

Jinsei Miyoshi is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jinsei Miyoshi has authored 17 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Jinsei Miyoshi's work include RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers) and Esophageal Cancer Research and Treatment (3 papers). Jinsei Miyoshi is often cited by papers focused on RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers) and Esophageal Cancer Research and Treatment (3 papers). Jinsei Miyoshi collaborates with scholars based in Japan, United States and China. Jinsei Miyoshi's co-authors include Tetsuji Takayama, Shusuke Toden, Ajay Goel, Yuji Toiyama, Masato Kusunoki, Kunitoshi Shigeyasu, Takeshi Nagasaka, Toshiyoshi Fujiwara, Kazuhiro Yoshida and Naoki Muguruma and has published in prestigious journals such as Gastroenterology, Cancer Research and Gut.

In The Last Decade

Jinsei Miyoshi

16 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinsei Miyoshi Japan 8 312 196 76 75 46 17 434
Meng Pu China 10 465 1.5× 386 2.0× 63 0.8× 52 0.7× 45 1.0× 19 582
Kwan Man Hong Kong 5 543 1.7× 199 1.0× 73 1.0× 38 0.5× 51 1.1× 5 688
Yi‐Wu Yuan China 11 363 1.2× 306 1.6× 58 0.8× 39 0.5× 53 1.2× 22 477
Gallina Kazobinka China 11 311 1.0× 148 0.8× 87 1.1× 47 0.6× 77 1.7× 20 405
Junqing Hou China 11 292 0.9× 280 1.4× 58 0.8× 35 0.5× 85 1.8× 25 428
Ting‐Tai Yen United States 10 172 0.6× 127 0.6× 87 1.1× 52 0.7× 34 0.7× 17 433
Jugao Fang China 11 201 0.6× 105 0.5× 64 0.8× 34 0.5× 54 1.2× 30 313
Shengli Yang China 10 247 0.8× 143 0.7× 73 1.0× 45 0.6× 51 1.1× 24 361
Qiangnu Zhang China 12 277 0.9× 217 1.1× 50 0.7× 24 0.3× 65 1.4× 24 372
Hairong Zhu China 14 364 1.2× 303 1.5× 34 0.4× 140 1.9× 41 0.9× 20 506

Countries citing papers authored by Jinsei Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Jinsei Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsei Miyoshi

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

All Works

17 of 17 papers shown
1.
Miyoshi, Jinsei, Yasushi Sato, Koichi Okamoto, et al.. (2024). A novel CT-based radiomics model for predicting response and prognosis of chemoradiotherapy in esophageal squamous cell carcinoma. Scientific Reports. 14(1). 2039–2039. 5 indexed citations
2.
Miyoshi, Jinsei, Alessandro Mannucci, Marco Scarpa, et al.. (2024). Liquid biopsy to identify Barrett’s oesophagus, dysplasia and oesophageal adenocarcinoma: the EMERALD multicentre study. Gut. 74(2). 169–181. 7 indexed citations
3.
Miyoshi, Jinsei, Zhongxu Zhu, Aiping Luo, et al.. (2022). A microRNA-based liquid biopsy signature for the early detection of esophageal squamous cell carcinoma: a retrospective, prospective and multicenter study. Molecular Cancer. 21(1). 44–44. 52 indexed citations
4.
Okamoto, Koichi, Tadahiko Nakagawa, Jinsei Miyoshi, et al.. (2022). miR‐144‐3p/miR‐451a promotes lymphovascular invasion through repression of PTEN/p19 in rectal neuroendocrine tumors. Journal of Gastroenterology and Hepatology. 37(5). 919–927. 2 indexed citations
5.
Sato, Yasushi, Tetsuo Kimura, Hiroshi Miyamoto, et al.. (2020). Cancer‐associated adipocytes promote pancreatic cancer progression through SAA1 expression. Cancer Science. 111(8). 2883–2894. 80 indexed citations
6.
Tanahashi, Toshihito, Yasushi Sato, Jinsei Miyoshi, et al.. (2019). MicroRNA-296-5p Promotes Cell Invasion and Drug Resistance by Targeting Bcl2-Related Ovarian Killer, Leading to a Poor Prognosis in Pancreatic Cancer. Digestion. 101(6). 794–806. 22 indexed citations
7.
Mitsui, Yasuhiro, Koichi Okamoto, Naoki Muguruma, et al.. (2019). Different phenotypes of gastric fundic gland polyposis and cancer in patients with familial adenomatous polyposis depending on Helicobacter pylori infection. Gastric Cancer. 22(6). 1294–1300. 7 indexed citations
8.
Shigeyasu, Kunitoshi, Yoshinaga Okugawa, Shusuke Toden, et al.. (2018). AZIN1 RNA editing confers cancer stemness and enhances oncogenic potential in colorectal cancer. JCI Insight. 3(12). 92 indexed citations
9.
Miyoshi, Jinsei, Feng Gao, Shusuke Toden, et al.. (2018). 371 - A Novel Non-Invasive Circulating Mirna Signature for Detection of Esophageal Adenocarcinoma. Gastroenterology. 154(6). S–87. 1 indexed citations
10.
Miyoshi, Jinsei, Tadahiko Nakagawa, Tetsu Tomonari, et al.. (2018). 1027 - Mir-144-3P/451A as a Novel Biomarker for Predicting Recurrence and Metastasis in Rectal Neuroendocrine Tumors Through Targeting Pten/P19. Gastroenterology. 154(6). S–196. 1 indexed citations
11.
Yoshida, Kazuhiro, Shusuke Toden, Wenhao Weng, et al.. (2017). SNORA21 – An Oncogenic Small Nucleolar RNA, with a Prognostic Biomarker Potential in Human Colorectal Cancer. EBioMedicine. 22. 68–77. 65 indexed citations
12.
Miyoshi, Jinsei, Shusuke Toden, Kazuhiro Yoshida, et al.. (2017). MiR-139-5p as a novel serum biomarker for recurrence and metastasis in colorectal cancer. Scientific Reports. 7(1). 52 indexed citations
13.
Zumwalt, Timothy J., Kunitoshi Shigeyasu, Wenhao Weng, et al.. (2016). Abstract 768: The ATP6V1C2 (a vacuolar-ATPase gene) is a novel early prognosticator for colorectal cancer. Cancer Research. 76(14_Supplement). 768–768. 1 indexed citations
14.
Miyoshi, Jinsei, Hiroshi Miyamoto, Tatsuya Taniguchi, et al.. (2015). Serum diamine oxidase activity as a predictor of gastrointestinal toxicity and malnutrition due to anticancer drugs. Journal of Gastroenterology and Hepatology. 30(11). 1582–1590. 36 indexed citations
15.
Mori, Toshifumi, Jinsei Miyoshi, Yoshitaka Imoto, et al.. (2015). Huge splenic epidermoid cyst with elevation of serum CA19-9 level. The Journal of Medical Investigation. 62(1.2). 89–92. 10 indexed citations
16.
Kimura, Tetsuo, Jinsei Miyoshi, Yasuteru Fujino, et al.. (2014). The Prospective Study of S-1 + Gemcitabine and Concurrent Radiotherapy for Unresectable Locally Advanced Pancreatic Cancer. Annals of Oncology. 25. v64–v64.
17.
Fujino, Yasuteru, Koichi Okamoto, Naoki Muguruma, et al.. (2013). Sa1419 Usefulness of a New Sphincterotome for the Endoscopic Submucosal Dissection of Colorectal Neoplasms. Gastrointestinal Endoscopy. 77(5). AB198–AB198. 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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