Rika Araki

681 citations
26 papers · 563 · h-index 11

Impact in

Papers in

Rika Araki

23 papers receiving 540 citations

Peers

Rika Araki
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 173
  • Endocrinology, Diabetes and Metabolism 102
  • Nephrology 39
  • Neurology 24
  • Immunology 53
Replace Giray Bozkaya with:
Giray Bozkaya Türkiye
Ling Jie Wang China
Seijiro Kado Japan
Michael Browatzki Germany
Simona Giubilato Italy
Ding Ding China
Oya Yönal Türkiye
Jianlin Du China
Eun Shil Hong South Korea
Naveeduddin Ahmed Pakistan
Rika Araki relative to Giray Bozkaya Türkiye Giray Bozkaya's profile →
Citations per field
00.5×2×3×4×4.8×
Giray Bozkaya · 1×
Citations per year

Countries citing papers authored by Rika Araki

Since Specialization
Citations

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

Fields of papers citing papers by Rika Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008126
2 201580
3 199653
4 200841
5 201040
6 201133
7 201730
8 200629
9 200723
10 201418
11 199212
12 201111
13 199510
14 201110
15 202210
16 20237
17 20237
18 20046
19 20075
20 20175

About Rika Araki

Rika Araki is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Pulmonary and Respiratory Medicine, Hematology and Physiology, having authored 26 papers that have together received 563 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Diabetes and associated disorders (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (173 citations), Endocrinology, Diabetes and Metabolism (102 citations), Nephrology (39 citations), Neurology (24 citations) and Immunology (53 citations). Rika Araki has collaborated with scholars based in Japan, Taiwan and Australia. Frequent co-authors include Akira Shimatsu, Kazuhiko Kotani, Taiichiro Okajima, Makito Tanabe, Yasuhisa Kato, Kazunori Koyama, Noriko Satoh, Mariko Oishi, Yoshihiro Ogawa and Hajime Yamakage. Their work appears in journals such as Atherosclerosis, Biochemical and Biophysical Research Communications, Diabetes Care, Diabetes Research and Clinical Practice and Clinical Journal of the American Society of Nephrology.

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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