Shin Hamada

5.8k citations
136 papers · 3.8k · h-index 37

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 1%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

    • Pancreatic and Hepatic Oncology Research 48
    • Cancer Cells and Metastasis 20
    • Pancreatitis Pathology and Treatment 33

Shin Hamada

129 papers receiving 3.7k citations

Peers

Shin Hamada
Comparison fields: 5 of 104
  • Cancer Research 916
  • Oncology 1.5k
  • Surgery 1.0k
  • Molecular Biology 1.5k
  • Immunology 384
Replace Karim A. Benhadji with:
Karim A. Benhadji United States
Cédric Coulouarn France
Chihaya Maesawa Japan
Ning Ren China
Wen‐Ming Cong China
Hideaki Ijichi Japan
Peter Büchler Germany
Bang H. Hoang United States
Kosei Maemura Japan
Cindy Neuzillet France
Shin Hamada relative to Karim A. Benhadji United States Karim A. Benhadji's profile →
Citations per field
00.5×1.5×2.2×
Karim A. Benhadji · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shin Hamada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shin Hamada Line = papers co-authored together Shin Hamada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010184
2 2014165
3 2012133
4 2011129
5 2008125
6 2013112
7 2011112
8 2012100
9 201694
10 201992
11 201786
12 201284
13 200782
14 201077
15 200674
16 201372
17 201269
18 201468
19 200865
20 201462

About Shin Hamada

Shin Hamada is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Cancer Research, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (48 papers), Pancreatitis Pathology and Treatment (33 papers), Cancer Cells and Metastasis (20 papers), Neuroendocrine Tumor Research Advances (14 papers), IgG4-Related and Inflammatory Diseases (10 papers), Genomics, phytochemicals, and oxidative stress (9 papers), MicroRNA in disease regulation (9 papers) and TGF-β signaling in diseases (8 papers). The work is most often cited by research in Cancer Research (916 citations), Oncology (1.5k citations), Surgery (1.0k citations), Molecular Biology (1.5k citations) and Immunology (384 citations). Shin Hamada has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tooru Shimosegawa, Atsushi Masamune, Kennichi Satoh, Kazuhiro Kikuta, Morihisa Hirota, Tetsuya Takikawa, Atsushi Kanno, Naoki Yoshida, Kiyoshi Kume and Michiaki Unno. Their work appears in journals such as Journal of Gastroenterology, Pancreas, Pancreatology, Biochemical and Biophysical Research Communications and Frontiers in Physiology.

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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