Sukeo Yamamoto

2.1k citations
135 papers · 1.7k indexed · h-index 18

Sukeo Yamamoto

127 papers receiving 1.6k citations

Peers

Sukeo Yamamoto
Comparison fields: 5 of 99
  • Hepatology 829
  • Pharmacology 300
  • Epidemiology 719
  • Biochemistry 96
  • Complementary and alternative medicine 75
Replace Takeyuki Monna with:
Takeyuki Monna Japan
Tadashi Ikegami Japan
Tin Aung Than United States
Emily C. Gurley United States
Lily Dara United States
Kazuyoshi Kon Japan
Bao-en Wang China
Francisco Javier Cubero Spain
Timothy P. Reilly United States
Manon Buist‐Homan Netherlands
Sukeo Yamamoto relative to Takeyuki Monna Japan Takeyuki Monna's profile →
Citations per field
00.5×1.5×
Takeyuki Monna · 1×
Citations per year

Countries citing papers authored by Sukeo Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Sukeo Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19911
2 19901
3 19905
4 19901
5 19882
6 19872
7 19864
8 19851
9 19854
10
The protective effects of saikosaponin on the liver cell injury induced by adcc reaction and activated macrophages in vitro
19841
11
19844
12
Lipid peroxide formation in liver cells, induced by antibody-dependent cell-mediated cytotoxic reaction.
19831
13
19831
14
19831
15
19821
16
19811
17
19813
18 19800
19 197917
20 19781

About Sukeo Yamamoto

Sukeo Yamamoto is a scholar working on Hepatology, Pharmacology and Epidemiology, having authored 135 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (40 papers), Liver Diseases and Immunity (21 papers), Drug-Induced Hepatotoxicity and Protection (19 papers), Hepatitis B Virus Studies (16 papers), Liver Disease and Transplantation (14 papers), Pharmacological Effects of Natural Compounds (13 papers), Drug Transport and Resistance Mechanisms (11 papers) and Liver physiology and pathology (9 papers). The work is most often cited by research in Hepatology (829 citations), Pharmacology (300 citations) and Epidemiology (719 citations). Sukeo Yamamoto has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Kenzo Kobayashi, Tetsuo Kuroki, Takeyuki Monna, Hiroko Oka, Y Mizoguchi, Seiji Morisawa, Akihiro Tamori, Shuichi Seki, Y Sakagami and Shigeyoshi Harihara. Their work appears in journals such as Hepatology, Journal of Gastroenterology and Hepatology, FEBS Letters, Cancer and Prostaglandins Leukotrienes and Essential Fatty Acids.

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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