Rie Oka

1.3k citations
46 papers · 974 · h-index 17

Impact in

Papers in

Rie Oka

43 papers receiving 948 citations

Peers

Rie Oka
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 373
  • Cardiology and Cardiovascular Medicine 265
  • Physiology 274
  • Epidemiology 266
  • Public Health, Environmental and Occupational Health 130
Replace N. Abate with:
N. Abate Italy
Chrysoula Boutari Greece
Ayumi Sugawara Japan
Jarred B. McAteer United States
Ilan Kochba Israel
Jan Hoong Ho United Kingdom
Gemma Llauradó Spain
Gaetano Leto Italy
Roman Janas Poland
Mikael Knutsson Sweden
Rie Oka relative to N. Abate Italy N. Abate's profile →
Citations per field
00.5×11.8×
N. Abate · 1×
Citations per year

Countries citing papers authored by Rie Oka

Since Specialization
Citations

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

Fields of papers citing papers by Rie Oka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2007133
3 200973
4 200858
5 201547
6 201245
7 201841
8 200136
9 201135
10 201234
11 201134
12 201530
13 200128
14 199922
15 201121
16 201919
17 200916
18 200914
19 201814
20 200512

About Rie Oka

Rie Oka is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Physiology and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 974 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Management and Research (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Diabetes Treatment and Management (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diet, Metabolism, and Disease (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (373 citations), Cardiology and Cardiovascular Medicine (265 citations), Physiology (274 citations), Epidemiology (266 citations) and Public Health, Environmental and Occupational Health (130 citations). Rie Oka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masakazu Yamagishi, Kunimasa Yagi, Susumu Miyamoto, Masa‐aki Kawashiri, Yoshiyu Takeda, Atsushi Nohara, Tadashi Moriuchi, Junji Kobayashi, Hiroshi Mabuchi and Masaru Sakurai. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Diabetes Research and Clinical Practice, Gastrointestinal Endoscopy, Diabetic Medicine and Archives of Toxicology.

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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