Sakae Itoga

753 citations
45 papers · 525 · h-index 15

Impact in

Papers in

Sakae Itoga

45 papers receiving 518 citations

Peers

Sakae Itoga
Comparison fields: 5 of 70
  • Pharmacology 69
  • Hepatology 50
  • Pathology and Forensic Medicine 80
  • Epidemiology 107
  • Clinical Biochemistry 21
Replace Kenneth J. Dery with:
Kenneth J. Dery United States
Melanie Merk United States
Jingya Yan China
Yi-Ping Rao United States
H.‐J. Schlayer Germany
Yoshihisa Nemoto Japan
Keshu Xu China
Jufang Yao China
Song Su China
Ana Tapia‐Abellán Spain
Sakae Itoga relative to Kenneth J. Dery United States Kenneth J. Dery's profile →
Citations per field
00.5×3.6×
Kenneth J. Dery · 1×
Citations per year

Countries citing papers authored by Sakae Itoga

Since Specialization
Citations

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

Fields of papers citing papers by Sakae Itoga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200149
2 200240
3 200232
4 201732
5 199924
6 201923
7 200321
8 201221
9 200019
10 200119
11 200717
12 202016
13 200715
14 200714
15 201014
16 201312
17 201212
18 201612
19 201210
20 201010

About Sakae Itoga

Sakae Itoga is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 45 papers that have together received 525 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (6 papers), Hepatitis B Virus Studies (4 papers), Molecular Biology Techniques and Applications (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Glutathione Transferases and Polymorphisms (4 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Pharmacology (69 citations), Hepatology (50 citations), Pathology and Forensic Medicine (80 citations), Epidemiology (107 citations) and Clinical Biochemistry (21 citations). Sakae Itoga has collaborated with scholars based in Japan, Ireland and United States. Frequent co-authors include Fumio Nomura, Takeshi Tomonaga, Kazuyuki Matsushita, Toshiaki Nakai, Takayuki Ishige, Shoji Harada, Hideaki Shimada, Chuan He, Takenori Ochiai and Kazumasa Isobe. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Journal of Gastroenterology and Hepatology, Clinica Chimica Acta, Biochemical and Biophysical Research Communications and Scientific Reports.

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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