Akira Ohneda

2.4k citations
117 papers · 2.1k · h-index 22

Impact in

Papers in

Akira Ohneda

111 papers receiving 1.9k citations

Peers

Akira Ohneda
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 162
  • Surgery 952
  • Physiology 388
  • Gastroenterology 73
Replace Alain Kervran with:
Alain Kervran France
Luc Picon France
Samuel Cataland United States
Jean Marie Ketelslegers Belgium
SUMER BELBEZ PEK United States
Jürgen Steinke United States
JOYCE D. BAIRD United Kingdom
Armelle Penhoat France
Jesper Thulesen Denmark
M. I. Grossman United States
Akira Ohneda relative to Alain Kervran France Alain Kervran's profile →
Citations per field
00.5×1.6×
Alain Kervran · 1×
Citations per year

Countries citing papers authored by Akira Ohneda

Since Specialization
Citations

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

Fields of papers citing papers by Akira Ohneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968252
2 1968169
3 1991145
4 1969136
5 1969110
6 196878
7 197561
8 198257
9 197451
10 197847
11 197941
12 196535
13 197535
14 198431
15 197230
16 199929
17 197527
18 197924
19 197824
20 199523

About Akira Ohneda

Akira Ohneda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Endocrine and Autonomic Systems, Epidemiology and Physiology, having authored 117 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (54 papers), Pancreatic function and diabetes (48 papers), Diabetes Management and Research (20 papers), Metabolism, Diabetes, and Cancer (17 papers), Diabetes and associated disorders (13 papers), Diet and metabolism studies (13 papers), Diet, Metabolism, and Disease (12 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (162 citations), Surgery (952 citations), Physiology (388 citations) and Gastroenterology (73 citations). Akira Ohneda has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Anna M. Eisentraut, Roger H. Unger, Shoichi Yamagata, Isabel Valverde, Eugenio Aguilar-Parada, John H. Exton, Tetsuya Kuhara, Yuka Sasaki, Yoshisuke Maruhama and Shoji Ishii. Their work appears in journals such as Hormone and Metabolic Research, Diabetes, The Tohoku Journal of Experimental Medicine, Diabetes Research and Clinical Practice and Regulatory Peptides.

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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