Hideya Suga

443 citations
26 papers · 268 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatitis Pathology and Treatment 5
    • Pancreatic and Hepatic Oncology Research 9

Hideya Suga

23 papers receiving 254 citations

Peers

Hideya Suga
Comparison fields: 5 of 39
  • Hepatology 128
  • Oncology 76
  • Pathology and Forensic Medicine 33
  • Surgery 68
  • Cancer Research 16
Replace Kenneth Tanabe with:
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Hideya Suga relative to Kenneth Tanabe United States Kenneth Tanabe's profile →
Citations per field
00.5×3.4×
Kenneth Tanabe · 1×
Citations per year

Countries citing papers authored by Hideya Suga

Since Specialization
Citations

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

Fields of papers citing papers by Hideya Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202054
2 202045
3 202138
4 202035
5 200520
6 201011
7 20087
8 20077
9 20067
10 20216
11 20095
12 20244
13 20234
14 20064
15 19963
16
[A case of hepatic eosinophilic granuloma, which needs distinction with metastatic liver cancer].
20083
17 20143
18 20062
19 20032
20
[A case of mesenteric cavernous hemangioma showing interestingly image study].
20052

About Hideya Suga

Hideya Suga is a scholar working on Surgery, Oncology, Hepatology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 268 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Pancreatitis Pathology and Treatment (5 papers), Cancer Mechanisms and Therapy (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and IgG4-Related and Inflammatory Diseases (2 papers). The work is most often cited by research in Hepatology (128 citations), Oncology (76 citations), Pathology and Forensic Medicine (33 citations), Surgery (68 citations) and Cancer Research (16 citations). Hideya Suga has collaborated with scholars based in Japan, United States and Uganda. Frequent co-authors include Takumi Kawaguchi, Takuji Torimura, Tomotake Shirono, Takashi Niizeki, Masatoshi Tanaka, Masahito Nakano, Shigeo Shimose, Kazunori Noguchi, Hideki Iwamoto and Taizo Yamaguchi. Their work appears in journals such as Digestive Endoscopy, Gastrointestinal Endoscopy, Cancers, Medicine and Pancreas.

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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