Hideki Suganami

2.8k total citations
85 papers, 2.2k citations indexed

About

Hideki Suganami is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Hideki Suganami has authored 85 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 36 papers in Endocrinology, Diabetes and Metabolism and 33 papers in Surgery. Recurrent topics in Hideki Suganami's work include Diabetes Treatment and Management (29 papers), Lipoproteins and Cardiovascular Health (19 papers) and Peroxisome Proliferator-Activated Receptors (17 papers). Hideki Suganami is often cited by papers focused on Diabetes Treatment and Management (29 papers), Lipoproteins and Cardiovascular Health (19 papers) and Peroxisome Proliferator-Activated Receptors (17 papers). Hideki Suganami collaborates with scholars based in Japan, United States and Australia. Hideki Suganami's co-authors include Eiichi Araki, Koutaro Yokote, Shun Ishibashi, Shizuya Yamashita, Hidenori Arai, Tetsuya Yamamoto, Hidenobu Tanihara, Yasuaki Kuwayama, Haruki Abe and Makoto Araie and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hideki Suganami

84 papers receiving 2.2k citations

Peers

Hideki Suganami
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 958
  • Molecular Biology 919
  • Surgery 763
  • Epidemiology 420
  • Cardiology and Cardiovascular Medicine 373
Replace Tova Chajek‐Shaul with:
Tova Chajek‐Shaul Israel
Pi‐Jung Hsiao Taiwan
Pascale Benlian France
Pamela W. Anderson United States
Min‐Ji Charng Taiwan
Xiaohong Yang United States
Kashif Jafri United States
D. J. Galton United Kingdom
Jeffrey M. Hoeg United States
Masato Ishigami Japan
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Citations per field, relative to Hideki Suganami
Hideki Suganami · 1×
Citations per year, relative to Hideki Suganami
Hideki Suganami · 1×

Countries citing papers authored by Hideki Suganami

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Suganami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Suganami

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Suganami. A scholar is included among the top collaborators of Hideki Suganami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideki Suganami. Hideki Suganami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 4
4 1
5 2
6 4
7 10
8 5
9 16
10 144
11 147
12
Specific clinical features of intraocular pressure-lowering effect in ripasudil (K-115): insights from 52-week phase 3 study
1
13 2
14 6
15 1
16 172
17 103
18 28
19 4
20 9

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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