Dae Ryong

3.9k total citations · 1 hit paper
93 papers, 3.1k citations indexed

About

Dae Ryong is a scholar working on Nephrology, Molecular Biology and Physiology. According to data from OpenAlex, Dae Ryong has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Nephrology, 32 papers in Molecular Biology and 20 papers in Physiology. Recurrent topics in Dae Ryong's work include Chronic Kidney Disease and Diabetes (23 papers), Renal Diseases and Glomerulopathies (13 papers) and Adipose Tissue and Metabolism (12 papers). Dae Ryong is often cited by papers focused on Chronic Kidney Disease and Diabetes (23 papers), Renal Diseases and Glomerulopathies (13 papers) and Adipose Tissue and Metabolism (12 papers). Dae Ryong collaborates with scholars based in South Korea, United States and Japan. Dae Ryong's co-authors include Young Sun Kang, Sang Youb Han, Jee‐Young Han, Kum Hyun Han, Hyoung Kyu Kim, Hye Kyoung Song, Mihwa Lee, Matthew D. Breyer, Xiaoyan Zhang and Jin Joo and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dae Ryong

90 papers receiving 3.0k citations

Hit Papers

Thiazolidinediones expand body fluid volume through PPARγ... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers

Dae Ryong
Comparison fields: 5 of 114
  • Molecular Biology 1.1k
  • Nephrology 777
  • Endocrinology, Diabetes and Metabolism 667
  • Epidemiology 523
  • Physiology 484
Replace Hiroki Fujita with:
Hiroki Fujita Japan
Ming‐Zhi Zhang United States
Kei Fukami Japan
Davina Judith Burt United Kingdom
Gabriella Gruden Italy
Jee‐Young Han South Korea
Kazunori Utsunomiya Japan
Sho‐ichi Yamagishi Japan
Stefano Menini Italy
Tomohito Gohda Japan
Hiroki Fujita Japan View profile →
Citations per field, relative to Dae Ryong
Dae Ryong · 1×
Citations per year, relative to Dae Ryong
Dae Ryong · 1×

Countries citing papers authored by Dae Ryong

Since Specialization
Citations

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

Fields of papers citing papers by Dae Ryong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Ryong

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Ryong. A scholar is included among the top collaborators of Dae Ryong 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 Dae Ryong. Dae Ryong 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
# Work Indexed citations
1 6
2 0
3 2
4 1
5 0
6 5
7 10
8 3
9 10
10 29
11 75
12 11
13 15
14 12
15
A Case of Renal Infarct Developed in Acute Pancreatitis
1
16 115
17
The Clinical Characteristics of Patients Treated with Continuous Renal Replacement Therapy
2
18 6
19 42
20 113

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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2026