Hidetoshi Eguchi

23.4k citations
758 papers · 15.7k indexed · h-index 63

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 82
    • Pancreatic and Hepatic Oncology Research 168

Hidetoshi Eguchi

692 papers receiving 15.5k citations

Peers

Hidetoshi Eguchi
Comparison fields: 5 of 149
  • Cancer Research 4.9k
  • Hepatology 2.0k
  • Oncology 5.3k
  • Surgery 4.4k
  • Molecular Biology 6.7k
Replace Huamin Wang with:
Huamin Wang United States
Yung‐Ming Jeng Taiwan
Hiroaki Nagano Japan
Sandrine Faivre France
Hideo Baba Japan
Toshiyoshi Fujiwara Japan
Donato Nitti Italy
Masayuki Imamura Japan
Akimasa Nakao Japan
Daniele Santini Italy
Hidetoshi Eguchi relative to Huamin Wang United States Huamin Wang's profile →
Citations per field
00.5×1.5×1.8×
Huamin Wang · 1×
Citations per year

Countries citing papers authored by Hidetoshi Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202515
3 20243
4 20241
5 20240
6 20240
7 20243
8 20230
9 20230
10 20231
11 20232
12 20232
13 20231
14 20219
15 201935
16 2019107
17 201893
18 2016116
19 201050
20 201044

About Hidetoshi Eguchi

Hidetoshi Eguchi is a scholar working on Hepatology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 758 papers that have together received 15.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (168 papers), Gastric Cancer Management and Outcomes (90 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (85 papers), Hepatocellular Carcinoma Treatment and Prognosis (82 papers), Esophageal Cancer Research and Treatment (56 papers), Pancreatitis Pathology and Treatment (51 papers), Esophageal and GI Pathology (46 papers) and Cancer-related molecular mechanisms research (44 papers). The work is most often cited by research in Cancer Research (4.9k citations), Hepatology (2.0k citations), Oncology (5.3k citations), Surgery (4.4k citations) and Molecular Biology (6.7k citations). Hidetoshi Eguchi has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Yuichiro� Doki, Masaki Mori, Shogo Kobayashi, Hiroaki Nagano, Hiroshi Wada, Koshi Mimori, Hiroaki Ohigashi, Osamu Ishikawa, Masahiro Tanemura and Yoshito Tomimaru. Their work appears in journals such as Annals of Surgical Oncology, Surgery Today, Cancer Science, Annals of Gastroenterological Surgery and British Journal of Cancer.

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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