Shin Hamada

5.7k total citations
135 papers, 3.8k citations indexed

About

Shin Hamada is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Shin Hamada has authored 135 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Oncology, 67 papers in Surgery and 44 papers in Molecular Biology. Recurrent topics in Shin Hamada's work include Pancreatic and Hepatic Oncology Research (60 papers), Pancreatitis Pathology and Treatment (38 papers) and Cancer Cells and Metastasis (20 papers). Shin Hamada is often cited by papers focused on Pancreatic and Hepatic Oncology Research (60 papers), Pancreatitis Pathology and Treatment (38 papers) and Cancer Cells and Metastasis (20 papers). Shin Hamada collaborates with scholars based in Japan, United States and Italy. Shin Hamada's co-authors include Tooru Shimosegawa, Atsushi Masamune, Kennichi Satoh, Kazuhiro Kikuta, Morihisa Hirota, Tetsuya Takikawa, Atsushi Kanno, Naoki Yoshida, Kiyoshi Kume and Michiaki Unno and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Shin Hamada

129 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin Hamada Japan 37 1.9k 1.7k 1.3k 1.1k 474 135 3.8k
Paul J. Grippo United States 31 2.4k 1.3× 1.9k 1.1× 931 0.7× 900 0.9× 297 0.6× 90 4.1k
Cédric Coulouarn France 30 862 0.4× 1.7k 1.0× 690 0.5× 1.2k 1.2× 410 0.9× 72 3.2k
Hideaki Ijichi Japan 36 1.9k 1.0× 2.1k 1.2× 733 0.6× 698 0.7× 405 0.9× 111 4.0k
Yoshito Tomimaru Japan 34 1.3k 0.7× 1.6k 0.9× 1.1k 0.8× 1.5k 1.4× 481 1.0× 224 3.7k
Peter Büchler Germany 29 988 0.5× 1.3k 0.7× 626 0.5× 691 0.7× 393 0.8× 68 2.9k
Takehiro Noda Japan 33 1.1k 0.6× 1.5k 0.9× 873 0.7× 1.2k 1.1× 444 0.9× 207 3.3k
Zobeida Cruz‐Monserrate United States 28 1.5k 0.8× 1.1k 0.6× 850 0.7× 637 0.6× 329 0.7× 72 3.0k
Bang H. Hoang United States 36 1.1k 0.6× 2.4k 1.4× 678 0.5× 654 0.6× 229 0.5× 106 4.6k
Shuji Mikami Japan 36 955 0.5× 1.7k 1.0× 1.3k 1.0× 611 0.6× 302 0.6× 206 4.1k
Jianping Wang China 29 2.0k 1.0× 1.6k 0.9× 788 0.6× 544 0.5× 133 0.3× 154 3.6k

Countries citing papers authored by Shin Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Shin Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Hamada

This figure shows the co-authorship network connecting the top 25 collaborators of Shin Hamada. A scholar is included among the top collaborators of Shin Hamada 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 Shin Hamada. Shin Hamada 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.
Uno, Kaname, Naoki Asano, Shin Hamada, et al.. (2023). Porphyromonas gingivalis Lipopolysaccharide Damages Mucosal Barrier to Promote Gastritis-Associated Carcinogenesis. Digestive Diseases and Sciences. 69(1). 95–111. 7 indexed citations
2.
Moroi, Rintaro, Kunio Tarasawa, Takeo Naito, et al.. (2022). The Impact of Concomitant Ulcerative Colitis on the Clinical Course in Patients with Primary Sclerosing Cholangitis: An Investigation Using a Nationwide Database in Japan. Inflammatory Intestinal Diseases. 7(3-4). 147–154. 5 indexed citations
3.
4.
Miura, Shin, Fumiyoshi Fujishima, Kiyoshi Kume, et al.. (2022). Utility of Endoscopic Ultrasound-Guided Fine-Needle Aspiration and Biopsy for Histological Diagnosis of Type 2 Autoimmune Pancreatitis. Diagnostics. 12(10). 2464–2464. 5 indexed citations
5.
Miura, Shin, Kazuhiro Kikuta, Shin Hamada, et al.. (2022). A case of occult pancreaticobiliary reflux due to endoscopically confirmed relaxation of the Oddi sphincter. SHILAP Revista de lepidopterología. 3(1). e161–e161. 1 indexed citations
6.
Takikawa, Tetsuya, et al.. (2022). Senescent Human Pancreatic Stellate Cells Secrete CXCR2 Agonist CXCLs to Promote Proliferation and Migration of Human Pancreatic Cancer AsPC-1 and MIAPaCa-2 Cell Lines. International Journal of Molecular Sciences. 23(16). 9275–9275. 16 indexed citations
7.
Takikawa, Tetsuya, Kazuhiro Kikuta, Shin Hamada, et al.. (2022). A New Preoperative Scoring System for Predicting Aggressiveness of Non-Functioning Pancreatic Neuroendocrine Neoplasms. Diagnostics. 12(2). 397–397. 4 indexed citations
8.
9.
Kuroha, Masatake, Hideaki Karasawa, Shinobu Ohnuma, et al.. (2021). Comprehensive Analysis of microRNA Profiles in Organoids Derived from Human Colorectal Adenoma and Cancer. Digestion. 102(6). 860–869. 9 indexed citations
10.
Hamada, Shin, Tooru Shimosegawa, Keiko Taguchi, et al.. (2017). Simultaneous K-ras activation and Keap1 deletion cause atrophy of pancreatic parenchyma. American Journal of Physiology-Gastrointestinal and Liver Physiology. 314(1). G65–G74. 19 indexed citations
11.
Hamada, Shin, Atsushi Masamune, Atsushi Kanno, & Tooru Shimosegawa. (2015). Comprehensive Analysis of Serum microRNAs in Autoimmune Pancreatitis. Digestion. 91(4). 263–271. 15 indexed citations
12.
Abue, Makoto, Misa Yokoyama, Rie Shibuya, et al.. (2014). Circulating miR-483-3p and miR-21 is highly expressed in plasma of pancreatic cancer. International Journal of Oncology. 46(2). 539–547. 165 indexed citations
13.
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
14.
Hamada, Shin, Atsushi Masamune, & Tooru Shimosegawa. (2013). Novel therapeutic strategies targeting tumor-stromal interactions in pancreatic cancer. Frontiers in Physiology. 4. 331–331. 38 indexed citations
15.
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
16.
Satoh, Kennichi, Shin Hamada, & Tooru Shimosegawa. (2010). Pancreatic cancer and epithelial to mesenchymal transition (EMT) -The role of BMP signal and its target gene MSX2 in EMT of pancreatic carcinoma cells-. Suizo. 25(1). 13–22. 1 indexed citations
17.
18.
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
19.
Bianco, Caterina, Luigi Strizzi, Mario Mancino, et al.. (2008). Regulation of Cripto-1 Signaling and Biological Activity by Caveolin-1 in Mammary Epithelial Cells. American Journal Of Pathology. 172(2). 345–357. 17 indexed citations
20.
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

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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