Naoto Shimura

881 citations
32 papers · 509 · h-index 10

Impact in

Papers in

Naoto Shimura

28 papers receiving 491 citations

Peers

Naoto Shimura
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 139
  • Urology 51
  • Genetics 117
  • Reproductive Medicine 33
  • Pediatrics, Perinatology and Child Health 64
Replace Dimitrios T. Papadimitriou with:
Dimitrios T. Papadimitriou Greece
Kazutomo Akasofu Japan
Bindu Kulshreshtha India
Eduardo Chaler Argentina
Natacha Bouhours‐Nouet France
Stéphanie Rouleau France
Masaki Yamanaka Japan
Saroj Nimkarn United States
J. A. Batch Australia
Daisy Chin United States
Naoto Shimura relative to Dimitrios T. Papadimitriou Greece Dimitrios T. Papadimitriou's profile →
Citations per field
00.5×3.9×
Dimitrios T. Papadimitriou · 1×
Citations per year

Countries citing papers authored by Naoto Shimura

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Shimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000230
2 2013108
3 199116
4 200215
5 200515
6 199810
7 200410
8 20149
9 20049
10 20049
11 19928
12 19898
13 20117
14 19877
15 19926
16 19935
17 20065
18 19885
19 19965
20 19904

About Naoto Shimura

Naoto Shimura is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 32 papers that have together received 509 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (7 papers), Electrolyte and hormonal disorders (5 papers), Hormonal and reproductive studies (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Adrenal Hormones and Disorders (3 papers), Neuroendocrine regulation and behavior (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (139 citations), Urology (51 citations), Genetics (117 citations), Reproductive Medicine (33 citations) and Pediatrics, Perinatology and Child Health (64 citations). Naoto Shimura has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Osamu Arisaka, Ieuan A. Hughes, J. Ross Hawkins, S. Faisal Ahmed, Howard Martin, Anna Wai-Fun Cheng, A.D. Tait, Satomi Koyama, Toshimi Sairenchi and Go Ichikawa. Their work appears in journals such as European Journal of Pediatrics, Acta Paediatrica, The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics and Journal of Medical Genetics.

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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