Ayumu Hirata

1.4k citations
39 papers · 1.1k indexed · h-index 18

Ayumu Hirata

39 papers receiving 1.1k citations

Peers

Ayumu Hirata
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 347
  • Physiology 328
  • Cardiology and Cardiovascular Medicine 235
  • Endocrine and Autonomic Systems 62
  • Behavioral Neuroscience 31
Replace Wataru Kameda with:
Wataru Kameda Japan
Shirley Nakhla Australia
Toshihide Oizumi Japan
Zheng F. Ba United States
Shinji Tamaki Japan
Hideaki Nakatsuji Japan
Inés Stella Argentina
Jacques Mailloux Canada
Müjde Aktürk Türkiye
Cesare Bellini Italy
Ayumu Hirata relative to Wataru Kameda Japan Wataru Kameda's profile →
Citations per field
00.5×2.7×
Wataru Kameda · 1×
Citations per year

Countries citing papers authored by Ayumu Hirata

Since Specialization
Citations

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

Fields of papers citing papers by Ayumu Hirata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20187
2 201610
3 20155
4 201522
5 201511
6 201423
7 201432
8 20143
9 201414
10 201337
11 201340
12 201217
13 201222
14 201248
15 201268
16 201115
17 201043
18 2009185
19 200855
20 20004

About Ayumu Hirata

Ayumu Hirata is a scholar working on Endocrinology, Diabetes and Metabolism, Applied Microbiology and Biotechnology and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Cardiovascular Disease and Adiposity (7 papers), Biomarkers in Disease Mechanisms (4 papers), Adipose Tissue and Metabolism (4 papers), Blood properties and coagulation (3 papers), S100 Proteins and Annexins (3 papers), Hormonal Regulation and Hypertension (3 papers) and Ginger and Zingiberaceae research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (347 citations), Physiology (328 citations) and Cardiology and Cardiovascular Medicine (235 citations). Ayumu Hirata has collaborated with scholars based in Japan and United States. Frequent co-authors include Iichiro Shimomura, Tohru Funahashi, Norikazu Maeda, Hideaki Nakatsuji, Shinji Kihara, Ken Kishida, Takuya Okada, Toshiyuki Hibuse, Kana Inoue and Hitoshi Nishizawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cardiovascular Diabetology, Biological and Pharmaceutical Bulletin, Diabetes Research and Clinical Practice and Nutrition & 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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