Satoshi Shiba

4.6k total citations
32 papers, 467 citations indexed

About

Satoshi Shiba is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Satoshi Shiba has authored 32 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 9 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Satoshi Shiba's work include Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Screening and Detection (6 papers) and Gut microbiota and health (6 papers). Satoshi Shiba is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Screening and Detection (6 papers) and Gut microbiota and health (6 papers). Satoshi Shiba collaborates with scholars based in Japan, United Kingdom and United States. Satoshi Shiba's co-authors include Shinichi Yachida, Takuji Yamada, Sayaka Mizutani, Masafumi Ikeda, Yutaka Saito, Shinji Fukuda, Chigusa Morizane, Takeshi Nakajima, Pande Putu Erawijantari and Taku Sakamoto and has published in prestigious journals such as Journal of Clinical Oncology, Gut and Scientific Reports.

In The Last Decade

Satoshi Shiba

29 papers receiving 464 citations

Peers

Satoshi Shiba
Eun Young Kim South Korea
Melanie Langheinrich Germany
Jung Won Jeon South Korea
Pieter‐Jan Cuyle Belgium
Alexander Bondoc United States
Hüseyin Astarcıoğlu Türkiye
Marc I. Brand United States
Tianrui Kuang China
Puo‐Hsien Le Taiwan
Salvatore Corallo Italy
Eun Young Kim South Korea
Satoshi Shiba
Citations per year, relative to Satoshi Shiba Satoshi Shiba (= 1×) peers Eun Young Kim

Countries citing papers authored by Satoshi Shiba

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Shiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Shiba

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Shiba. A scholar is included among the top collaborators of Satoshi Shiba 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 Satoshi Shiba. Satoshi Shiba 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.
Takamaru, Hiroyuki, Cynthia Tsay, Satoshi Shiba, Shinichi Yachida, & Yutaka Saito. (2025). Microbiome and Colorectal Cancer in Humans: A Review of Recent Studies. Journal of the Anus Rectum and Colon. 9(1). 20–24. 2 indexed citations
2.
Ikuta, Shoko, Yutaka Saito, Yoichiro Nakatani, et al.. (2024). Variability in non-tumor areas of colorectal cancer patients as revealed by endoscopic intestinal step biopsies. Molecular Cancer. 23(1). 249–249. 1 indexed citations
3.
Mizutani, Sayaka, Satoshi Shiba, Hiroyuki Takamaru, et al.. (2024). Fusobacterium species are distinctly associated with patients with Lynch syndrome colorectal cancer. iScience. 27(7). 110181–110181. 7 indexed citations
4.
Tanaka, Junko, Tatsuo Nakagawa, Chigusa Morizane, et al.. (2023). Efficient and accurate KRAS genotyping using digital PCR combined with melting curve analysis for ctDNA from pancreatic cancer patients. Scientific Reports. 13(1). 3039–3039. 13 indexed citations
5.
Shiroma, Hirotsugu, et al.. (2023). Leveraging explainable AI for gut microbiome-based colorectal cancer classification. Genome biology. 24(1). 21–21. 34 indexed citations
6.
Narii, Nobuhiro, Ling Zha, Tomotaka Sobue, et al.. (2022). Association Between Diet and Fusobacterium nucleatum in the Feces of Healthy Adults: A Hospital-based Cross-sectional Study. Cancer Prevention Research. 16(2). 119–126. 7 indexed citations
7.
8.
Takai, Erina, Yasushi Totoki, Hiromi Nakamura, et al.. (2021). Clonal dynamics of circulating tumor DNA during immune checkpoint blockade therapy for melanoma. Cancer Science. 112(11). 4748–4757. 11 indexed citations
9.
Doi, Toshihiko, Yoichi Naito, Yasutoshi Kuboki, et al.. (2021). 545P First-in-human (FIH) study of E7130 in patients (pts) with advanced solid tumors: Primary result of dose-escalation part. Annals of Oncology. 32. S608–S609. 1 indexed citations
10.
Yamamoto, Shun, Ken Kato, Hiroyuki Daiko, et al.. (2021). FRONTiER: A feasibility trial of nivolumab with neoadjuvant CF or DCF therapy for locally advanced esophageal carcinoma (JCOG1804E)—The short-term results of cohort A and B.. Journal of Clinical Oncology. 39(3_suppl). 202–202. 15 indexed citations
11.
Yamamoto, Shun, Ken Kato, Hiroyuki Daiko, et al.. (2020). Feasibility Study of Nivolumab as Neoadjuvant Chemotherapy for Locally Esophageal Carcinoma: FRONTiER (JCOG1804E). Future Oncology. 16(19). 1351–1357. 44 indexed citations
12.
Erawijantari, Pande Putu, Sayaka Mizutani, Satoshi Shiba, et al.. (2020). Influence of gastrectomy for gastric cancer treatment on faecal microbiome and metabolome profiles. Gut. 69(8). 1404–1415. 109 indexed citations
13.
Takahashi, Hideaki, Masafumi Ikeda, Satoshi Shiba, et al.. (2020). Multicenter Retrospective Analysis of Chemotherapy for Advanced Pancreatic Acinar Cell Carcinoma. Pancreas. 50(1). 77–82. 19 indexed citations
14.
Shiba, Satoshi, Hiroshi Imaoka, Kazuhiko Shioji, et al.. (2018). Clinical characteristics of Japanese patients with epithelioid hemangioendothelioma: a multicenter retrospective study. BMC Cancer. 18(1). 993–993. 36 indexed citations
15.
Ueno, Hideki, Satoshi Shiba, Yasunari Sakamoto, et al.. (2016). P-122 Phase I study of S-1, irinotecan plus oxaliplatin combination therapy (S-IROX) for Unresectable pancreatic ductal adenocarcinoma. Annals of Oncology. 27. ii36–ii36. 2 indexed citations
16.
Sasaki, Mitsuhito, Hideki Ueno, Aya Kuchiba, et al.. (2015). P-167 Risk factors for febrile neutropenia in patients with unresectable pancreatic cancer receiving FOLFIRINOX as the first-line treatment. Annals of Oncology. 26. iv48–iv48.
17.
Sasaki, Mitsuhito, Hideki Ueno, Satoshi Shiba, et al.. (2015). FOLFIRINOX for locally advanced or metastatic pancreatic cancer: a single institution retrospective review. Annals of Oncology. 26. vii120–vii120.
18.
Kondo, Shunsuke, et al.. (2015). Assessment of adverse events via a telephone consultation service for cancer patients receiving ambulatory chemotherapy. BMC Research Notes. 8(1). 315–315. 17 indexed citations
19.
Shiba, Satoshi, Hideki Ueno, Chigusa Morizane, et al.. (2015). 221P Phase I study of S-1, irinotecan plus oxaliplatin combination therapy for advanced pancreatic cancer. Annals of Oncology. 26. ix42–ix42. 2 indexed citations
20.
Shiba, Satoshi, Chigusa Morizane, Nobuyoshi Hiraoka, et al.. (2015). Pancreatic neuroendocrine tumors: A single-center 20-year experience with 100 patients. Pancreatology. 16(1). 99–105. 26 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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