Dae Ryong Cha

3.7k citations
91 papers · 3.2k · h-index 31

Impact in

Papers in

    • Chronic Kidney Disease and Diabetes 17
    • Renal Diseases and Glomerulopathies 12
    • Dialysis and Renal Disease Management 5
    • Hormonal Regulation and Hypertension 7
    • Diabetes Treatment and Management 7

Dae Ryong Cha

89 papers receiving 3.1k citations

Peers

Dae Ryong Cha
Comparison fields: 5 of 112
  • Nephrology 718
  • Endocrinology, Diabetes and Metabolism 531
  • Clinical Biochemistry 193
  • Physiology 92
  • Physiology 385
Replace Bum Soon Choi with:
Bum Soon Choi South Korea
Anil Bhanudas Gaikwad India
Hiroki Fujita Japan
Hirobumi Tokuyama Japan
Hyunjin Noh South Korea
Paolo Mené Italy
Xiaoxin X. Wang United States
Jee‐Young Han South Korea
Takeshi Kanda Japan
Kazunori Utsunomiya Japan
Dae Ryong Cha relative to Bum Soon Choi South Korea Bum Soon Choi's profile →
Citations per field
00.5×1.5×2×2.3×
Bum Soon Choi · 1×
Citations per year

Countries citing papers authored by Dae Ryong Cha

Since Specialization
Citations

This map shows the geographic impact of Dae Ryong Cha'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 Cha 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 Cha more than expected).

Fields of papers citing papers by Dae Ryong Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005540
2 2013145
3 2000123
4 2004120
5 2010104
6 2012103
7 200896
8 200292
9 201683
10 201780
11 202079
12 200479
13 200675
14 200768
15 200667
16 201460
17 200154
18 200153
19 201151
20 200449

About Dae Ryong Cha

Dae Ryong Cha is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology and Epidemiology, having authored 91 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (17 papers), Renal Diseases and Glomerulopathies (12 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Hormonal Regulation and Hypertension (7 papers), Renin-Angiotensin System Studies (7 papers), Diabetes Treatment and Management (7 papers), Adipose Tissue and Metabolism (6 papers) and Dialysis and Renal Disease Management (5 papers). The work is most often cited by research in Nephrology (718 citations), Endocrinology, Diabetes and Metabolism (531 citations), Clinical Biochemistry (193 citations), Physiology (92 citations) and Physiology (385 citations). Dae Ryong Cha has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Young Sun Kang, Sang Youb Han, Jee‐Young Han, Kum Hyun Han, Hyoung Kyu Kim, Hye Kyoung Song, Mihwa Lee, Matthew Douglas Breyer, Mark A. Magnuson and Donald E. Kohan. Their work appears in journals such as Kidney Research and Clinical Practice, Kidney International, Life, Journal of Korean Medical Science and 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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