Morihisa Hirota

6.8k total citations
101 papers, 4.3k citations indexed

About

Morihisa Hirota is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Morihisa Hirota has authored 101 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Surgery, 54 papers in Oncology and 30 papers in Molecular Biology. Recurrent topics in Morihisa Hirota's work include Pancreatic and Hepatic Oncology Research (46 papers), Pancreatitis Pathology and Treatment (42 papers) and Gastrointestinal disorders and treatments (18 papers). Morihisa Hirota is often cited by papers focused on Pancreatic and Hepatic Oncology Research (46 papers), Pancreatitis Pathology and Treatment (42 papers) and Gastrointestinal disorders and treatments (18 papers). Morihisa Hirota collaborates with scholars based in Japan, United States and Italy. Morihisa Hirota's co-authors include Tooru Shimosegawa, Atsushi Masamune, Kennichi Satoh, Kazuhiro Kikuta, Shin Hamada, Atsushi Kanno, Akihiko Satoh, Kiyoshi Kume, Takashi Watanabe and Kenzo Kaneko and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Morihisa Hirota

96 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morihisa Hirota Japan 36 2.2k 1.8k 1.7k 593 530 101 4.3k
Annette Ramaswamy Germany 35 1.8k 0.8× 999 0.5× 1.2k 0.7× 725 1.2× 652 1.2× 110 3.7k
David F. Schaeffer Canada 34 1.5k 0.7× 825 0.5× 980 0.6× 631 1.1× 602 1.1× 144 3.2k
Carla Rabitti Italy 33 984 0.4× 1.5k 0.8× 922 0.5× 557 0.9× 556 1.0× 109 4.0k
Yoshiaki Kita Japan 38 1.6k 0.7× 970 0.5× 1.6k 0.9× 892 1.5× 1.0k 1.9× 169 3.9k
Eva Karamitopoulou Switzerland 40 2.1k 0.9× 809 0.4× 1.3k 0.7× 688 1.2× 624 1.2× 99 3.9k
Guido Coggi Italy 39 1.6k 0.7× 825 0.5× 1.7k 1.0× 632 1.1× 854 1.6× 102 4.4k
Yukichi Tanaka Japan 31 977 0.4× 1.1k 0.6× 1.8k 1.1× 360 0.6× 1.1k 2.0× 187 4.2k
Eishi Nagai Japan 37 1.9k 0.8× 1.3k 0.7× 1.6k 1.0× 1.1k 1.9× 1.0k 1.9× 111 4.2k
Pieter A. van der Velden Netherlands 36 1.7k 0.8× 555 0.3× 1.8k 1.1× 867 1.5× 572 1.1× 84 6.9k
Teiichi Motoyama Japan 40 1.1k 0.5× 1.3k 0.7× 3.1k 1.8× 825 1.4× 935 1.8× 185 5.8k

Countries citing papers authored by Morihisa Hirota

Since Specialization
Citations

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

Fields of papers citing papers by Morihisa Hirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morihisa Hirota

This figure shows the co-authorship network connecting the top 25 collaborators of Morihisa Hirota. A scholar is included among the top collaborators of Morihisa Hirota 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 Morihisa Hirota. Morihisa Hirota 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.
Mukai, Shuntaro, Yoshifumi Takeyama, Takao Itoi, et al.. (2025). Clinical Practice Guidelines for post‐ERCP pancreatitis 2023. Digestive Endoscopy. 37(6). 573–587. 5 indexed citations
2.
3.
Takada, Tadahiro, Shuji Isaji, Toshihiko Mayumi, et al.. (2022). JPNclinical practice guidelines 2021 with easy‐to‐understand explanations for the management of acute pancreatitis. Journal of Hepato-Biliary-Pancreatic Sciences. 29(10). 1057–1083. 35 indexed citations
4.
Shimizu, Kyoko, Tetsuhide Ito, Atsushi Irisawa, et al.. (2022). Evidence-based clinical practice guidelines for chronic pancreatitis 2021. Journal of Gastroenterology. 57(10). 709–724. 35 indexed citations
5.
Hirota, Morihisa, et al.. (2021). Nasopancreatic Drainage for 4 Patients during the Early Phase of Acute Pancreatitis. SHILAP Revista de lepidopterología. 15(3). 801–809.
6.
Hirota, Morihisa, Tooru Shimosegawa, Atsushi Masamune, et al.. (2014). The seventh nationwide epidemiological survey for chronic pancreatitis in Japan: Clinical significance of smoking habit in Japanese patients. Pancreatology. 14(6). 490–496. 68 indexed citations
7.
Hamada, Shin, Atsushi Masamune, Kazuhiro Kikuta, et al.. (2014). Nationwide Epidemiological Survey of Acute Pancreatitis in Japan. Pancreas. 43(8). 1244–1248. 61 indexed citations
8.
Nakano, Eriko, Atsushi Kanno, Atsushi Masamune, et al.. (2013). A case of pancreatic tail cancer with AIP-like stromal features. Suizo. 28(5). 627–635. 1 indexed citations
9.
Kume, Kiyoshi, Atsushi Masamune, Hiroyuki Ariga, et al.. (2012). Do genetic variants in the SPINK1 gene affect the level of serum PSTI?. Journal of Gastroenterology. 47(11). 1267–1274. 13 indexed citations
10.
Hamada, Shin, Kennichi Satoh, Wataru Fujibuchi, et al.. (2011). MiR-126 Acts as a Tumor Suppressor in Pancreatic Cancer Cells via the Regulation of ADAM9. Molecular Cancer Research. 10(1). 3–10. 129 indexed citations
11.
Hirota, Morihisa, et al.. (2011). Perfusion computed tomography imaging of autoimmune pancreatitis. Suizo. 26(1). 54–58. 1 indexed citations
12.
Hirota, Morihisa, Tadahiro Takada, Nobuya Kitamura, et al.. (2009). Fundamental and intensive care of acute pancreatitis. Journal of Hepato-Biliary-Pancreatic Sciences. 17(1). 45–52. 37 indexed citations
13.
14.
Hamada, Shin, Kennichi Satoh, Morihisa Hirota, et al.. (2009). Expression of the calcium‐binding protein S100P is regulated by bone morphogenetic protein in pancreatic duct epithelial cell lines. Cancer Science. 100(1). 103–110. 20 indexed citations
15.
Masamune, Atsushi, Kiyoshi Kume, Kazuhiro Kikuta, et al.. (2009). −651C/T promoter polymorphism in the CD14 gene is associated with severity of acute pancreatitis in Japan. Journal of Gastroenterology. 45(2). 225–233. 10 indexed citations
16.
Kume, Kiyoshi, Atsushi Masamune, Yusuke Takagi, et al.. (2008). A loss-of-function p.G191R variant in the anionic trypsinogen ( PRSS2 ) gene in Japanese patients with pancreatic disorders. Gut. 58(6). 820–824. 18 indexed citations
17.
Hamada, Shin, Kennichi Satoh, Morihisa Hirota, et al.. (2007). Bone morphogenetic protein 4 induces epithelial‐mesenchymal transition through MSX2 induction on pancreatic cancer cell line. Journal of Cellular Physiology. 213(3). 768–774. 83 indexed citations
18.
Kimura, Kenji, Kennichi Satoh, Atsushi Kanno, et al.. (2006). Activation of Notch signaling in tumorigenesis of experimental pancreatic cancer induced by dimethylbenzanthracene in mice. Cancer Science. 98(2). 155–162. 59 indexed citations
19.
Kanno, Atsushi, Kennichi Satoh, Kenji Kimura, et al.. (2006). The Expression of MUC4 and MUC5AC Is Related to the Biologic Malignancy of Intraductal Papillary Mucinous Neoplasms of the Pancreas. Pancreas. 33(4). 391–396. 28 indexed citations
20.
Satoh, Kennichi, Kenzo Kaneko, Morihisa Hirota, et al.. (2001). Tumor Necrosis Factor–Related Apoptosis-Inducing Ligand and Its Receptor Expression and the Pathway of Apoptosis in Human Pancreatic Cancer. Pancreas. 23(3). 251–258. 43 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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