Satoshi Katagiri

1.5k citations
67 papers · 1.1k indexed · h-index 17
  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis 37
  • Surgery top 5%
    • Cholangiocarcinoma and Gallbladder Cancer Studies 25
    • Organ Transplantation Techniques and Outcomes 5
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research 12
    • Cancer, Lipids, and Metabolism 7
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment 13
    • Neuroendocrine Tumor Research Advances 5
    • Gallbladder and Bile Duct Disorders 6

Satoshi Katagiri

52 papers receiving 1.0k citations

Peers

Satoshi Katagiri
Comparison fields: 5 of 54
  • Hepatology 712
  • Surgery 590
  • Oncology 308
  • Cancer Research 157
  • Epidemiology 330
Replace Zhengqing Lei with:
Zhengqing Lei China
Anfeng Si China
Yoshihito Kotera Japan
Shin Kobayashi Japan
Wong Hoi She Hong Kong
Saburo Fukuda Japan
Shintaro Yamazaki Japan
Ernesto Sparrelid Sweden
Wing Chiu Dai Hong Kong
Wan-Yee Lau Hong Kong
Satoshi Katagiri relative to Zhengqing Lei China Zhengqing Lei's profile →
Citations per field
00.5×
Zhengqing Lei · 1×
Citations per year

Countries citing papers authored by Satoshi Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 201942
4 20191
5 201812
6 20172
7 201364
8 20091
9 20097
10 20083
11 20042
12 200445
13 200368
14 2001102
15 20001
16 20001
17 19991
18 19991
19 19994
20 19961

About Satoshi Katagiri

Satoshi Katagiri is a scholar working on Hepatology, Cancer Research and Surgery, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (37 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (25 papers), Liver Disease Diagnosis and Treatment (13 papers), Pancreatic and Hepatic Oncology Research (12 papers), Cancer, Lipids, and Metabolism (7 papers), Gallbladder and Bile Duct Disorders (6 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Hepatology (712 citations), Surgery (590 citations) and Oncology (308 citations). Satoshi Katagiri has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Masakazu Yamamoto, Yoshihito Kotera, Shun‐ichi Ariizumi, Shun‐ichi Ariizumi, Ken Takasaki, Hideo Katsuragawa, Yutaka Takahashi, Yutaka Takahashi, Masayuki Nakano and Takehito Otsubo. Their work appears in journals such as Annals of Surgery, Journal of Hepatology and Annals of Surgical Oncology.

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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