Masaru Doi

1.1k citations
33 papers · 843 · h-index 18

Impact in

    • Pituitary Gland Disorders and Treatments
    • Hormonal Regulation and Hypertension
    • Adrenal Hormones and Disorders
    • Growth Hormone and Insulin-like Growth Factors
  • Surgery top 10%
    • Adrenal and Paraganglionic Tumors

Papers in

    • Pituitary Gland Disorders and Treatments 17
    • Hormonal Regulation and Hypertension 10
    • Adrenal Hormones and Disorders 10
    • Growth Hormone and Insulin-like Growth Factors 5
    • Adrenal and Paraganglionic Tumors 11

Masaru Doi

33 papers receiving 828 citations

Peers

Masaru Doi
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 558
  • Surgery 392
  • Behavioral Neuroscience 24
  • Cellular and Molecular Neuroscience 86
  • Neurology 68
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Masaru Doi relative to Michio Noguchi Japan Michio Noguchi's profile →
Citations per field
00.5×
Michio Noguchi · 1×
Citations per year

Countries citing papers authored by Masaru Doi

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199990
2 201186
3 200775
4 201858
5 201047
6 200737
7 200834
8 200733
9 200832
10 200831
11 201128
12 201028
13 200528
14 201027
15 200221
16 200820
17 200019
18 200918
19 200317
20 200515

About Masaru Doi

Masaru Doi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Neurology and Oncology, having authored 33 papers that have together received 843 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (17 papers), Adrenal and Paraganglionic Tumors (11 papers), Hormonal Regulation and Hypertension (10 papers), Adrenal Hormones and Disorders (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Cardiovascular Health and Disease Prevention (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (558 citations), Surgery (392 citations), Behavioral Neuroscience (24 citations), Cellular and Molecular Neuroscience (86 citations) and Neurology (68 citations). Masaru Doi has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Yukio Hirata, Hajime Izumiyama, Takanobu Yoshimoto, Masayoshi Shichiri, Fumiaki Marumo, Toru Tateno, Isao Minami, Kyoichiro Tsuchiya, Hiroki Kato and Hironobu Sasano. Their work appears in journals such as Hypertension Research, Endocrine Journal, European Journal of Endocrinology, Atherosclerosis and Journal of Atherosclerosis and Thrombosis.

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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