Yoichi Matsuo

4.1k citations
153 papers · 3.0k indexed · h-index 32

Yoichi Matsuo

137 papers receiving 3.0k citations

Peers

Yoichi Matsuo
Comparison fields: 5 of 113
  • Oncology 1.3k
  • Cancer Research 563
  • Immunology and Allergy 190
  • Immunology 552
  • Molecular Biology 1.3k
Replace Hiromitsu Takeyama with:
Hiromitsu Takeyama Japan
Maciej Szmitkowski Poland
Arimichi Takabayashi Japan
Hitoshi Funahashi Japan
Xianxian Zheng United States
Mona F. Melhem United States
Xiujuan Qu China
Maria Napolitano Italy
Margit A. Huber Germany
Rong Shao China
Yoichi Matsuo relative to Hiromitsu Takeyama Japan Hiromitsu Takeyama's profile →
Citations per field
00.5×1.7×
Hiromitsu Takeyama · 1×
Citations per year

Countries citing papers authored by Yoichi Matsuo

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Matsuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yoichi Matsuo, 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 Yoichi Matsuo Line = papers co-authored together Yoichi Matsuo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20244
4 20241
5 20246
6 20231
7 20232
8 20231
9 20230
10 20224
11 20219
12 20212
13
[A Case of Gallbladder Cancer with Para-Aortic Lymph Node Metastasis Successfully Treated by Gemcitabine plus Cisplatin Combination Chemotherapy and Conversion Surgery].
20202
14 201121
15 200968
16
IGF-1 and PTEN regulate the proliferation and invasiveness of colon cancer cells through opposite effects on PI3K/Akt signalling
20094
17 2008144
18
Glial cell line-derived neurotrophic factor enhances the invasive ability of pancreatic cancer cells by regulating urokinase-type plasminogen activator and matrix metalloproteinase
20082
19
Basic research TGF-β regulates invasive behavior of human pancreatic cancer cells by controlling Smad expression
20073
20 20074

About Yoichi Matsuo

Yoichi Matsuo is a scholar working on Oncology, Gastroenterology and Immunology and Allergy, having authored 153 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (27 papers), Colorectal Cancer Surgical Treatments (15 papers), Gastric Cancer Management and Outcomes (13 papers), Angiogenesis and VEGF in Cancer (12 papers), Gastrointestinal Tumor Research and Treatment (11 papers), Neuroendocrine Tumor Research Advances (11 papers), Chemokine receptors and signaling (11 papers) and PI3K/AKT/mTOR signaling in cancer (9 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (563 citations) and Immunology and Allergy (190 citations). Yoichi Matsuo has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroki Takahashi, Hiromitsu Takeyama, Hirozumi Sawai, Hitoshi Funahashi, Nobuo Ochi, Akira Yasuda, Yuji Okada, Sushovan Guha, Tadao Manabe and Zhimin Tong.

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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