Tomoya Hamaguchi

1.0k citations
47 papers · 761 · h-index 18

Impact in

Papers in

Tomoya Hamaguchi

47 papers receiving 730 citations

Peers

Tomoya Hamaguchi
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 326
  • Clinical Biochemistry 64
  • Rheumatology 87
  • Surgery 243
  • Genetics 148
Replace Miriam Lee‐Rueckert with:
Miriam Lee‐Rueckert Finland
Masayuki Noritake Japan
Won Gu Jang South Korea
Egbert Schulze Germany
Hongyu Kuang China
C. Plas France
Ilana Talior Israel
D. J. Pillion United States
A. Bhala United States
Minxiang Lei China
Tomoya Hamaguchi relative to Miriam Lee‐Rueckert Finland Miriam Lee‐Rueckert's profile →
Citations per field
00.5×4.8×
Miriam Lee‐Rueckert · 1×
Citations per year

Countries citing papers authored by Tomoya Hamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Hamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200261
2 200758
3 201342
4 201338
5 199938
6 200433
7 199132
8 199128
9 200627
10 199026
11 201324
12 201223
13 201122
14 199521
15 199419
16
Accelerated decline of blood glucose after intravenous glucose injection in a patient with Cowden disease having a heterozygous germline mutation of the PTEN/MMAC1 gene.
200019
17 200918
18 201017
19 199916
20 199515

About Tomoya Hamaguchi

Tomoya Hamaguchi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Rheumatology and Genetics, having authored 47 papers that have together received 761 indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Pancreatic function and diabetes (18 papers), Metabolism, Diabetes, and Cancer (17 papers), Diabetes Treatment and Management (13 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Diabetes and associated disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (326 citations), Clinical Biochemistry (64 citations), Rheumatology (87 citations), Surgery (243 citations) and Genetics (148 citations). Tomoya Hamaguchi has collaborated with scholars based in Japan, Australia and Somalia. Frequent co-authors include Mitsuyoshi Namba, Tomoyuki Yamasaki, Hiromu Nakajima, Jun‐ichiro Miyagawa, Tomoyuki Katsuno, Masayuki Miuchi, Norio Kôno, Nina Raben, Seiichiro Tarui and Yoshiki Kusunoki. Their work appears in journals such as Muscle & Nerve, Diabetologia, Biochemical and Biophysical Research Communications, Journal of Diabetes Investigation and The Journal of Clinical Endocrinology & Metabolism.

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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