Sung-Do Kim

596 citations
34 papers · 395 · h-index 11

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Renal Diseases and Glomerulopathies 9
    • Diabetes and associated disorders 4

Sung-Do Kim

33 papers receiving 384 citations

Peers

Sung-Do Kim
Comparison fields: 5 of 92
  • Nephrology 56
  • Immunology 63
  • Complementary and alternative medicine 19
  • Orthopedics and Sports Medicine 19
  • Cardiology and Cardiovascular Medicine 43
Replace Xiaolei Ren with:
Xiaolei Ren China
Mercedes N. Munkonda Canada
Wenjin Liu China
Matt Hutmacher United States
Kefei Wu China
Anne C. Heatherington United States
Lei Hu China
Hideyuki Negoro Japan
Anupama Hegde India
Sung-Do Kim relative to Xiaolei Ren China Xiaolei Ren's profile →
Citations per field
00.5×1.5×2.5×
Xiaolei Ren · 1×
Citations per year

Countries citing papers authored by Sung-Do Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Do Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Do Kim. 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 Sung-Do Kim. The network helps show where Sung-Do Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200459
2 202448
3 200735
4 201731
5 201028
6 202326
7 200526
8 200418
9 202313
10 201113
11 200410
12 20109
13 20099
14 20238
15 20037
16 20117
17 20096
18 20236
19 20244
20 20114

About Sung-Do Kim

Sung-Do Kim is a scholar working on Nephrology, Genetics, Immunology, Surgery and Molecular Biology, having authored 34 papers that have together received 395 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Diabetes and associated disorders (4 papers), Computational Drug Discovery Methods (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), HER2/EGFR in Cancer Research (2 papers), Celiac Disease Research and Management (2 papers), Pregnancy and Medication Impact (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Nephrology (56 citations), Immunology (63 citations), Complementary and alternative medicine (19 citations), Orthopedics and Sports Medicine (19 citations) and Cardiology and Cardiovascular Medicine (43 citations). Sung-Do Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Byoung-Soo Cho, Hossam Nada, Suk Joo Bae, Yongseok Choi, Joo‐Ho Chung, Kyeong Lee, Nicholas A. Meanwell, Byung-Cheol Lee, Hee Jae Lee and Sheng‐Yu Jin. Their work appears in journals such as Korean Journal of Pediatrics, Pediatric Nephrology, ACS Omega, Computer Methods and Programs in Biomedicine and Journal of Pharmacological Sciences.

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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