Etsuko Shinohara

11 total papers · 646 total citations
9 papers, 520 citations indexed

About

Etsuko Shinohara is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Rheumatology. According to data from OpenAlex, Etsuko Shinohara has authored 9 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Rheumatology. Recurrent topics in Etsuko Shinohara's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Etsuko Shinohara is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Etsuko Shinohara collaborates with scholars based in Japan, United States and Brazil. Etsuko Shinohara's co-authors include Shizuya Yamashita, M Yamane, Kazuaki Kotani, Yūji Matsuzawa, Shinji Kihara, Takeshi Arai, Satoshi Nozaki, Ken‐ichi Hirano, Tadashi Nakamura and Takahide Arai and has published in prestigious journals such as Hepatology, Atherosclerosis and Journal of Internal Medicine.

In The Last Decade

Etsuko Shinohara

9 papers receiving 504 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Etsuko Shinohara 222 130 119 109 107 9 520
I. Colina 202 0.9× 172 1.3× 52 0.4× 134 1.2× 63 0.6× 10 555
Bankim A. Bhatt 233 1.0× 63 0.5× 149 1.3× 57 0.5× 134 1.3× 14 590
Josep Maria Orellana‐Gavaldà 198 0.9× 64 0.5× 147 1.2× 109 1.0× 61 0.6× 8 461
Hiroshi Tatsukawa 136 0.6× 47 0.4× 79 0.7× 62 0.6× 46 0.4× 14 504
T. Tatarczyk 195 0.9× 53 0.4× 154 1.3× 100 0.9× 108 1.0× 21 594
Wael Ghaly 208 0.9× 43 0.3× 137 1.2× 98 0.9× 117 1.1× 12 547
Maria Rosaria Manigrasso 149 0.7× 76 0.6× 58 0.5× 46 0.4× 78 0.7× 15 466
Shigehiko Fujiwara 164 0.7× 44 0.3× 72 0.6× 68 0.6× 240 2.2× 8 582
Aviva Rabin-Court 229 1.0× 77 0.6× 216 1.8× 148 1.4× 188 1.8× 9 546
Malaka B. Jackson 193 0.9× 99 0.8× 96 0.8× 52 0.5× 73 0.7× 8 518

Countries citing papers authored by Etsuko Shinohara

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Shinohara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etsuko Shinohara

This figure shows the co-authorship network connecting the top 25 collaborators of Etsuko Shinohara. A scholar is included among the top collaborators of Etsuko Shinohara 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 Etsuko Shinohara. Etsuko Shinohara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026