Gyeong Ryul Ryu

1.0k citations
38 papers · 883 indexed · h-index 15
Topics
Pancreatic function and diabetes (23 papers)Diabetes and associated disorders (10 papers)Diabetes Treatment and Management (7 papers)

In The Last Decade

Gyeong Ryul Ryu

38 papers receiving 861 citations

Peers

Gyeong Ryul Ryu
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 386
  • Surgery 325
  • Molecular Biology 318
  • Oncology 80
  • Plant Science 79
Replace Toshio Hosaka with:
Toshio Hosaka Japan
Makiko Fukaya Japan
Wei-Wen Kuo Taiwan
Joo Sun Choi South Korea
Tânia Longo Mazzuco Brazil
Rafael M. Costa Brazil
Carrie-Lynn M. Soltys Canada
Weijuan Shao Canada
Irene O.C.M. Vroegrijk Netherlands
Hisanori Minami Japan
Gyeong Ryul Ryu relative to Toshio Hosaka Japan Toshio Hosaka's profile →
Citations per field
00.5×1.7×
Toshio Hosaka · 1×
Citations per year

Countries citing papers authored by Gyeong Ryul Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Gyeong Ryul Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyeong Ryul Ryu. 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 Gyeong Ryul Ryu. The network helps show where Gyeong Ryul Ryu may publish in the future.

Co-authorship network of co-authors of Gyeong Ryul Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Gyeong Ryul Ryu. A scholar is included among the top collaborators of Gyeong Ryul Ryu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gyeong Ryul Ryu. Gyeong Ryul Ryu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 14
4 4
5 21
6 11
7 9
8 46
9 9
10 35
11 52
12 21
13 27
14 197
15 46
16
The Role of cAMP/PKA Activation on Exendin-4-Induced Cyclin D1 Expression in INS-1 Cell.
1
17 7
18 56
19
Electrophysiological and Morphological Classification of Inhibitory Interneurons in Layer II/III of the Rat Visual Cortex
1
20
Altered Secretory Pattern of Pancreatic Enzymes and Gastrointestinal Hormones in Streptozotocin-induced Diabetic Rats
2

About Gyeong Ryul Ryu

Gyeong Ryul Ryu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 38 papers that have together received 883 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Diabetes and associated disorders (10 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Biochemistry (77 citations) and Surgery (325 citations). Gyeong Ryul Ryu has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung‐Hyun Ko, Yu‐Bae Ahn, Ki‐Ho Song, Yang‐Hyeok Jo, Shin Hee Yoon, Kun‐Ho Yoon, Ji Hee Lim, Sang Woo Han, Sang Soo Sim and Duck‐Joo Rhie. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and 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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