Makoto Ishihara

2.1k total citations
95 papers, 1.4k citations indexed

About

Makoto Ishihara is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Makoto Ishihara has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 32 papers in Surgery and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Makoto Ishihara's work include Pancreatic and Hepatic Oncology Research (21 papers), Gallbladder and Bile Duct Disorders (11 papers) and Gastrointestinal Tumor Research and Treatment (9 papers). Makoto Ishihara is often cited by papers focused on Pancreatic and Hepatic Oncology Research (21 papers), Gallbladder and Bile Duct Disorders (11 papers) and Gastrointestinal Tumor Research and Treatment (9 papers). Makoto Ishihara collaborates with scholars based in Japan, India and United States. Makoto Ishihara's co-authors include Masahiro Tajika, Yasumasa Niwa, Nobumasa Mizuno, Tsutomu Tanaka, Kazuo Hara, Susumu Hijioka, Kenji Yamao, Hiroshi Imaoka, Yasuhiro Shimizu and Nozomi Okuno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Neuroscience.

In The Last Decade

Makoto Ishihara

90 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Ishihara Japan 22 623 590 408 197 166 95 1.4k
Michael Vieth Germany 16 781 1.3× 651 1.1× 570 1.4× 151 0.8× 348 2.1× 35 1.7k
Andreas Probst Germany 24 616 1.0× 1.0k 1.8× 1.5k 3.6× 56 0.3× 124 0.7× 121 2.1k
James A. Butler United States 11 1.4k 2.3× 475 0.8× 782 1.9× 52 0.3× 203 1.2× 37 2.1k
Daniel Pinto Portugal 16 724 1.2× 424 0.7× 177 0.4× 91 0.5× 1.3k 7.5× 31 2.1k
Koji Yoshida Japan 26 909 1.5× 532 0.9× 304 0.7× 306 1.6× 848 5.1× 106 2.4k
Domenico Angelucci Italy 20 306 0.5× 334 0.6× 201 0.5× 126 0.6× 352 2.1× 70 1.4k
Jung Woo Choi South Korea 15 393 0.6× 159 0.3× 162 0.4× 87 0.4× 406 2.4× 63 1.0k
Asif Loya Pakistan 19 377 0.6× 203 0.3× 131 0.3× 162 0.8× 196 1.2× 97 1.1k
Larry Kluskens United States 18 466 0.7× 338 0.6× 172 0.4× 145 0.7× 209 1.3× 43 1.2k
Xiaolu Huang China 18 105 0.2× 493 0.8× 185 0.5× 61 0.3× 254 1.5× 65 1.2k

Countries citing papers authored by Makoto Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Ishihara

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ishihara. A scholar is included among the top collaborators of Makoto Ishihara 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 Makoto Ishihara. Makoto Ishihara 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.
Ishihara, Makoto & Atsushi Kambayashi. (2025). Physiologically based biopharmaceutics modeling to predict bioequivalence of rivaroxaban formulated as conventional tablets, OD tablets, and fine granules. Journal of Drug Delivery Science and Technology. 114. 107631–107631.
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Takahashi, Kazuki, Miho Kobayashi, Tatsuhiko Anzai, et al.. (2023). CD40 is expressed in the subsets of endothelial cells undergoing partial endothelial–mesenchymal transition in tumor microenvironment. Cancer Science. 115(2). 490–506. 9 indexed citations
4.
Uemura, Norihisa, et al.. (2022). 389. BENEFITS OF BILATERAL THORACOSCOPIC SURGERY IN THE PRONE POSITION FOR A LARGE ESOPHAGEAL TUMOR. Diseases of the Esophagus. 35(Supplement_2).
5.
Hijioka, Susumu, Nobumasa Mizuno, Takamichi Kuwahara, et al.. (2019). Usefulness of septal thickness measurement on endoscopic ultrasound as a predictor of malignancy of branched‐duct and mixed‐type intraductal papillary mucinous neoplasm of the pancreas. Digestive Endoscopy. 31(6). 672–681. 18 indexed citations
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Hijioka, Susumu, Kazuo Hara, Nobumasa Mizuno, et al.. (2016). Diagnostic performance and factors influencing the accuracy of EUS-FNA of pancreatic neuroendocrine neoplasms. Journal of Gastroenterology. 51(9). 923–930. 45 indexed citations
9.
Tajika, Masahiro, Tsutomu Tanaka, Makoto Ishihara, et al.. (2015). The Risk of Adenomas and Carcinomas in the Ileal Pouch after Proctocolectomy in Patients with Familial Adenomatous Polyposis. Nihon Daicho Komonbyo Gakkai Zasshi. 68(10). 900–907. 1 indexed citations
10.
Hijioka, Susumu, Hiroshi Imaoka, Nobumasa Mizuno, et al.. (2015). Risk factors for postoperative recurrence of intraductal papillary mucinous neoplasms of the pancreas based on a long‐term follow‐up study: proposals for follow‐up strategies. Journal of Hepato-Biliary-Pancreatic Sciences. 22(10). 757–765. 26 indexed citations
11.
Imaoka, Hiroshi, Nobumasa Mizuno, Kazuo Hara, et al.. (2015). Evaluation of Modified Glasgow Prognostic Score for Pancreatic Cancer. Pancreas. 45(2). 211–217. 68 indexed citations
12.
Niwa, Yasumasa, et al.. (2014). Sa1659 Endoscopic Submucosal Resection for Remnant Early Gastric Cancer vs U Region Early Gastric Cancer. Gastrointestinal Endoscopy. 79(5). AB291–AB291. 1 indexed citations
13.
Hijioka, Susumu, Kazuo Hara, Nobumasa Mizuno, et al.. (2014). A novel technique for endoscopic transpapillary “mapping biopsy specimens” of superficial intraductal spread of bile duct carcinoma (with videos). Gastrointestinal Endoscopy. 79(6). 1020–1025. 23 indexed citations
14.
Hijioka, Susumu, Yasuhiro Shimizu, Nobumasa Mizuno, et al.. (2014). Can Long-Term Follow-Up Strategies Be Determined Using a Nomogram-Based Prediction Model of Malignancy Among Intraductal Papillary Mucinous Neoplasms of the Pancreas?. Pancreas. 43(3). 367–372. 13 indexed citations
15.
Nakamura, Masanao, Naoki Ohmiya, Yoshiki Hirooka, et al.. (2013). Extraluminal GI stromal tumor of the jejunum diagnosed by EUS at double-balloon endoscopy. Gastrointestinal Endoscopy. 79(2). 335–336. 4 indexed citations
16.
Nakamura, Masanao, Naoki Ohmiya, Hiroyuki Takenaka, et al.. (2013). Real-time viewing of video capsule endoscopy for on-going mid GI bleeding.. PubMed. 59(120). 2533–35. 4 indexed citations
17.
Heissig, Beate, Chiemi Nishida, Yoshihiko Tashiro, et al.. (2010). Role of neutrophil-derived matrix metalloproteinase-9 in tissue regeneration.. PubMed. 25(6). 765–70. 62 indexed citations
18.
Hattori, Koichi, Makoto Ishihara, & Beate Heissig. (2008). [Bone marrow-derived cells contribute to niche formation in cancer progression].. PubMed. 18(4). 480–7. 2 indexed citations
19.
Shimizu, Yuko, Masahiko Yamada, Makoto Ishihara, et al.. (2006). Four cases of hepatitis E after eating wild boar meats in Aichi, Japan. Kanzo. 47(10). 465–473. 18 indexed citations
20.
Matsubara, Shyuichiro & Makoto Ishihara. (1988). Production and vegetative propagation of virus-free plants of Dioscorea species. 72. 19–26. 3 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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