Rie Oka

1.4k citations
47 papers · 1.0k · h-index 17

Impact in

Papers in

Rie Oka

44 papers receiving 999 citations

Peers

Rie Oka
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 269
  • Cardiology and Cardiovascular Medicine 158
  • Physiology 172
  • Epidemiology 142
  • Health Informatics 5
Replace Lisa Park with:
Lisa Park United States
Eun Sook Kim South Korea
Anastasios Gazis United Kingdom
Dariusz Lebensztejn Poland
K. Papatheodorou Greece
Jacqueline T. Jonker Netherlands
Anne Ronan Australia
Bettina Hartmann Germany
Akira Ohishi Japan
Eija Ruotsalainen Finland
Rie Oka relative to Lisa Park United States Lisa Park's profile →
Citations per field
00.5×1.5×2.2×
Lisa Park · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 2007133
3 200973
4 200858
5 201248
6 201548
7 201842
8 201441
9 200136
10 201135
11 201235
12 201134
13 201530
14 200128
15 199922
16 201121
17 201919
18 200916
19 201814
20 200914

About Rie Oka

Rie Oka is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Genetics and Physiology, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Treatment and Management (4 papers), Diabetes and associated disorders (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (269 citations), Cardiology and Cardiovascular Medicine (158 citations), Physiology (172 citations), Epidemiology (142 citations) and Health Informatics (5 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 Hideji Tanii. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Diabetes Research and Clinical Practice, Diabetic Medicine, Gastrointestinal Endoscopy 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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