Dong Cheol Han

2.8k citations
33 papers · 2.3k indexed · 2 hit papers · h-index 15
Topics
Chronic Kidney Disease and Diabetes (6 papers)TGF-β signaling in diseases (6 papers)Liver Disease Diagnosis and Treatment (4 papers)

In The Last Decade

Dong Cheol Han

30 papers receiving 2.2k citations

Hit Papers

Leptin and renal disease200220262010201820022022200400600

Peers

Dong Cheol Han
Comparison fields: 5 of 112
  • Nephrology 801
  • Molecular Biology 587
  • Epidemiology 451
  • Cardiology and Cardiovascular Medicine 353
  • Endocrinology, Diabetes and Metabolism 336
Replace Erdinç Çakır with:
Erdinç Çakır Türkiye
Hyunjin Noh South Korea
Marcus Baumann Germany
Mehmet Koç Türkiye
Fitsum Guebre‐Egziabher France
Tayfun Eyıleten Türkiye
Anthony J. Croatt United States
Michał Myśliwiec Poland
Kum Hyun Han South Korea
Michael P. O’Donnell United States
Dong Cheol Han relative to Erdinç Çakır Türkiye Erdinç Çakır's profile →
Citations per field
00.5×1.5×2.4×
Erdinç Çakır · 1×
Citations per year

Countries citing papers authored by Dong Cheol Han

Since Specialization
Citations

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

Fields of papers citing papers by Dong Cheol Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Cheol Han. 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 Dong Cheol Han. The network helps show where Dong Cheol Han may publish in the future.

Co-authorship network of co-authors of Dong Cheol Han

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Cheol Han. A scholar is included among the top collaborators of Dong Cheol Han 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 Dong Cheol Han. Dong Cheol Han 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 2
2 4
3 12
4 17
5 10
6 12
7 2
8 14
9 11
10 11
11
A Case of Atypical Gitelman's Syndrome with Normomagnesemia and Normal Magnesium Excretion
0
12
Leptin and renal diseasebreakdown →
730
13 182
14 126
15 90
16 51
17 128
18 315
19 32
20 11

About Dong Cheol Han

Dong Cheol Han is a scholar working on Nephrology, Endocrine and Autonomic Systems and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (6 papers), TGF-β signaling in diseases (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Nephrology (801 citations), Endocrine and Autonomic Systems (254 citations) and Endocrinology, Diabetes and Metabolism (336 citations). Dong Cheol Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Fuad N. Ziyadeh, Sheldon Chen, Günter Wolf, Motohide Isono, Brenda B. Hoffman, Rolf A.K. Stahl, U. Helmchen, Günter Wolf, A. Hamann and Friedrich Thaiss. Their work appears in journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Kidney International.

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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