Makoto Daimon

8.3k citations
215 papers · 4.4k indexed · h-index 38

Impact in

Papers in

Makoto Daimon

209 papers receiving 4.3k citations

Peers

Makoto Daimon
Comparison fields: 5 of 135
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 254
  • Ophthalmology 310
  • Nephrology 229
  • Physiology 658
Replace Per M. Humpert with:
Per M. Humpert Germany
Tadashi Yamakawa Japan
Kristian F. Hanssen Norway
Thoralf Wendt Germany
Tsugiyasu Kanda Japan
Takeo Kato Japan
Debra A. Schwinn United States
Hans J. Arnqvist Sweden
Toru Aizawa Japan
Umberto Di Mario Italy
Makoto Daimon relative to Per M. Humpert Germany Per M. Humpert's profile →
Citations per field
00.5×2.6×
Per M. Humpert · 1×
Citations per year

Countries citing papers authored by Makoto Daimon

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Daimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20235
3 20236
4 20232
5 20233
6 20232
7 202226
8 20223
9 202215
10 20216
11 20208
12 201712
13 201623
14 201676
15 201417
16 20092
17 199711
18
Neuropathological examination of the brain in an autopsy case of hereditary ceruloplasmin deficiency
19960
19 199414
20 19913

About Makoto Daimon

Makoto Daimon is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Clinical Biochemistry, Endocrine and Autonomic Systems and Nephrology, having authored 215 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Porphyrin Metabolism and Disorders (15 papers), Pancreatic function and diabetes (15 papers), Hormonal Regulation and Hypertension (14 papers), Stress Responses and Cortisol (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Adipose Tissue and Metabolism (13 papers) and Diabetes Treatment and Management (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (254 citations), Ophthalmology (310 citations), Nephrology (229 citations) and Physiology (658 citations). Makoto Daimon has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takeo Kato, Makoto Tominaga, Toshihide Oizumi, Wataru Kameda, Hiroshi Ohnuma, Masahiko Igarashi, Hiroshi Yamaguchi, Toru Kawanami, Takamasa Kayama and Keiji Kurita. Their work appears in journals such as Biochemical and Biophysical Research Communications, Diabetes Research and Clinical Practice, Metabolism, Peptides and Scientific Reports.

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