Tetsuo Iida

42 papers receiving 1.3k citations

Peers

Tetsuo Iida
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 896
  • Physiology 392
  • Nutrition and Dietetics 146
  • Epidemiology 256
  • Biological Psychiatry 18
Replace Traci E. LaMoia with:
Traci E. LaMoia United States
Chiara Saponaro Italy
Michael Löffler Germany
W. Bietiger France
Élisa Maillard France
Alexandra K. Leamy United States
Hadi Khodabandehloo Iran
Yoo Jeong Lee South Korea
Joo Young Huh South Korea
Michael Deeds United States
Tetsuo Iida relative to Traci E. LaMoia United States Traci E. LaMoia's profile →
Citations per field
00.5×10×20×27.7×
Traci E. LaMoia · 1×
Citations per year

Countries citing papers authored by Tetsuo Iida

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999158
2 2010149
3 2008108
4 2009108
5 2002100
6 201766
7 201364
8 201660
9 201744
10 201243
11 201443
12 201337
13 202135
14 200533
15 201826
16 201823
17 202118
18 201418
19 201916
20 201914

About Tetsuo Iida

Tetsuo Iida is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Molecular Biology and Surgery, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (38 papers), Diet and metabolism studies (26 papers), Liver Disease Diagnosis and Treatment (17 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (2 papers), Digestive system and related health (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (896 citations), Physiology (392 citations), Nutrition and Dietetics (146 citations), Epidemiology (256 citations) and Biological Psychiatry (18 citations). Tetsuo Iida has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takako Yamada, Noriko Hayashi, Kazuhiro Okuma, Tatsuhiro Matsuo, Masaaki Tokuda, Ken Izumori, Yuka Kishimoto, Satoshi Goto, S Kohno and Makoto Oka. Their work appears in journals such as Journal of Functional Foods, Food Chemistry, Bioscience Biotechnology and Biochemistry, Biochemical and Biophysical Research Communications and Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi).

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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