Won Suk An

1.3k citations
68 papers · 856 · h-index 18

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments
    • Renal function and acid-base balance
    • Fatty Acid Research and Health

Papers in

    • Parathyroid Disorders and Treatments 11
    • Dialysis and Renal Disease Management 10
    • Renal function and acid-base balance 6
    • Lipoproteins and Cardiovascular Health 5

Won Suk An

61 papers receiving 831 citations

Peers

Won Suk An
Comparison fields: 5 of 94
  • Nephrology 346
  • Nutrition and Dietetics 234
  • Biochemistry 76
  • Physiology 167
  • Clinical Biochemistry 42
Replace T. Rietveld with:
T. Rietveld Netherlands
Young Ki Son South Korea
Antonella Sofia Italy
Su Mi Lee South Korea
Hsiu-Ching Hsu Taiwan
Mark A.J. Devonald United Kingdom
Pisut Katavetin Thailand
Yu Ah Hong South Korea
B. Canaud Italy
Gursharan Dogra Australia
Won Suk An relative to T. Rietveld Netherlands T. Rietveld's profile →
Citations per field
00.5×4.5×
T. Rietveld · 1×
Citations per year

Countries citing papers authored by Won Suk An

Since Specialization
Citations

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

Fields of papers citing papers by Won Suk An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Suk An. 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 Won Suk An. The network helps show where Won Suk An may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009120
2 201358
3 201240
4 201537
5 202133
6 201027
7 200927
8 201826
9 201126
10 202123
11 200922
12 201220
13 201220
14 200920
15 201319
16 202219
17 201818
18 201117
19 201117
20 201917

About Won Suk An

Won Suk An is a scholar working on Nephrology, Surgery, Epidemiology, Physiology and Nutrition and Dietetics, having authored 68 papers that have together received 856 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (11 papers), Fatty Acid Research and Health (10 papers), Dialysis and Renal Disease Management (10 papers), Nutrition and Health in Aging (8 papers), Renal function and acid-base balance (6 papers), Central Venous Catheters and Hemodialysis (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Lipoproteins and Cardiovascular Health (5 papers). The work is most often cited by research in Nephrology (346 citations), Nutrition and Dietetics (234 citations), Biochemistry (76 citations), Physiology (167 citations) and Clinical Biochemistry (42 citations). Won Suk An has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Young Ki Son, Su Mi Lee, Nosratola D. Vaziri, Hyun Ju Kim, Hyun Jeong Kim, Yongsoon Park, Hae-Rahn Bae, Ki Hyun Kim, Mihwa Lee and Jin‐Yeong Han. Their work appears in journals such as Renal Failure, Nephrology Dialysis Transplantation, PLoS ONE, Kidney Research and Clinical Practice and Marine Drugs.

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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