Suhnggwon Kim

3.8k citations
116 papers · 2.8k · h-index 31

Impact in

  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management

Papers in

Suhnggwon Kim

112 papers receiving 2.7k citations

Peers

Suhnggwon Kim
Comparison fields: 5 of 119
  • Nephrology 1.2k
  • Transplantation 89
  • Rheumatology 238
  • Immunology 329
  • Pathology and Forensic Medicine 270
Replace Fred G. Silva with:
Fred G. Silva United States
Jin Suk Han South Korea
Denise Maria Avancini Costa Malheiros Brazil
Hee Gyung Kang South Korea
Tevfik Ecder Türkiye
Gavin J. Becker Australia
Yukihiko Kawasaki Japan
Joel Neugarten United States
Yugo Shibagaki Japan
Michelle Denburg United States
Suhnggwon Kim relative to Fred G. Silva United States Fred G. Silva's profile →
Citations per field
00.5×2.9×
Fred G. Silva · 1×
Citations per year

Countries citing papers authored by Suhnggwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Suhnggwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017148
2 2012135
3 2010103
4 201096
5 200994
6 200291
7 201088
8 201073
9 199567
10 200567
11 201562
12 200162
13 201255
14 200053
15 201351
16 200250
17 200950
18 201049
19 201346
20 199346

About Suhnggwon Kim

Suhnggwon Kim is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 116 papers that have together received 2.8k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (21 papers), Chronic Kidney Disease and Diabetes (18 papers), Dialysis and Renal Disease Management (15 papers), Blood Pressure and Hypertension Studies (11 papers), Sodium Intake and Health (8 papers), Viral Infections and Vectors (7 papers), Systemic Lupus Erythematosus Research (7 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Nephrology (1.2k citations), Transplantation (89 citations), Rheumatology (238 citations), Immunology (329 citations) and Pathology and Forensic Medicine (270 citations). Suhnggwon Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Ho Jun Chin, Dong‐Wan Chae, Yon Su Kim, Ki Young Na, Jin Suk Han, Chun Soo Lim, Curie Ahn, Sejoong Kim, Jung Sang Lee and Se Won Oh. Their work appears in journals such as Journal of Korean Medical Science, Kidney Research and Clinical Practice, Nephrology Dialysis Transplantation, PLoS ONE and BMC 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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