Akira Endoh

935 total citations
37 papers, 710 citations indexed

About

Akira Endoh is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Akira Endoh has authored 37 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Akira Endoh's work include Hormonal Regulation and Hypertension (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Sexual Differentiation and Disorders (4 papers). Akira Endoh is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Sexual Differentiation and Disorders (4 papers). Akira Endoh collaborates with scholars based in Japan, United States and China. Akira Endoh's co-authors include Peter J. Hornsby, Peter R. Casson, J.E. Buster, Steen Buus Kristiansen, Katsuhiko Ogasawara, John E. Buster, Guoqian Jiang, Tsunetaro Sakurai, Tomohiro Fukaya and M. Watanabe and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Medical Internet Research and Leukemia.

In The Last Decade

Akira Endoh

36 papers receiving 687 citations

Peers

Akira Endoh
Comparison fields: 5 of 114
  • Molecular Biology 238
  • Endocrinology, Diabetes and Metabolism 211
  • Genetics 82
  • Surgery 80
  • Public Health, Environmental and Occupational Health 79
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Songtao Tang China View profile →
Citations per field, relative to Akira Endoh
Akira Endoh · 1×
Citations per year, relative to Akira Endoh
Akira Endoh · 1×

Countries citing papers authored by Akira Endoh

Since Specialization
Citations

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

Fields of papers citing papers by Akira Endoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Endoh

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Endoh. A scholar is included among the top collaborators of Akira Endoh 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 Akira Endoh. Akira Endoh 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 5
2 3
3 12
4 10
5 39
6 16
7 41
8 6
9 33
10 18
11 52
12 20
13 6
14 2
15 2
16
How Well Do Clinicians Use Computer-based Information for Clinical Practice? Postal Survey of Clinicians' Views in Japan.
1
17 27
18 11
19 9
20 3

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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