Koichi Shido

27 total papers · 482 total citations
18 papers, 401 citations indexed

About

Koichi Shido is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Koichi Shido has authored 18 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Obstetrics and Gynecology. Recurrent topics in Koichi Shido's work include Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (5 papers) and Dementia and Cognitive Impairment Research (4 papers). Koichi Shido is often cited by papers focused on Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (5 papers) and Dementia and Cognitive Impairment Research (4 papers). Koichi Shido collaborates with scholars based in Japan, United States and Russia. Koichi Shido's co-authors include Kiyotaro Kondo, Akira Hata, Gén Kobashi, Hideto Yamada, Seiichiro Fujimoto, Yuichi Oike, Yuka Ogata, K Kondo, Yukiko Numata and Reiko Kishi and has published in prestigious journals such as Journal of Clinical Investigation, Dementia and Geriatric Cognitive Disorders and American Journal of Medical Genetics.

In The Last Decade

Koichi Shido

16 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Koichi Shido 101 86 85 74 65 18 401
Hugo Krupitzki 17 0.2× 52 0.6× 77 0.9× 65 0.9× 157 2.4× 29 389
LiQin Sheng 16 0.2× 67 0.8× 27 0.3× 70 0.9× 86 1.3× 18 427
Chun-Hui Liao 31 0.3× 8 0.1× 68 0.8× 53 0.7× 185 2.8× 11 368
Deborah A. Crane 28 0.3× 28 0.3× 49 0.6× 51 0.7× 83 1.3× 22 380
J M B Wennink 14 0.1× 19 0.2× 71 0.8× 31 0.4× 7 0.1× 13 442
Yi-Huei Chen 28 0.3× 17 0.2× 6 0.1× 43 0.6× 27 0.4× 31 443
Theresia Mina 15 0.1× 105 1.2× 177 2.1× 65 0.9× 34 0.5× 15 380
Ananthan Ambikairajah 49 0.5× 7 0.1× 18 0.2× 109 1.5× 37 0.6× 15 415
Silvia Hoirisch-Clapauch 40 0.4× 38 0.4× 38 0.4× 25 0.3× 67 1.0× 26 338
Ellen V. Backhouse 58 0.6× 18 0.2× 39 0.5× 59 0.8× 114 1.8× 23 444

Countries citing papers authored by Koichi Shido

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Shido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Shido

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Shido. A scholar is included among the top collaborators of Koichi Shido 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 Koichi Shido. Koichi Shido 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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