Won Suk An

1.3k citations
68 papers · 872 · h-index 18

Impact in

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

Papers in

    • Parathyroid Disorders and Treatments 8
    • Dialysis and Renal Disease Management 5
    • Renal Diseases and Glomerulopathies 4

Won Suk An

61 papers receiving 851 citations

Peers

Won Suk An
Comparison fields: 5 of 83
  • Nephrology 295
  • Nutrition and Dietetics 214
  • Biochemistry 59
  • Clinical Biochemistry 33
  • Physiology 113
Replace Kazutaka Matsushita with:
Kazutaka Matsushita Japan
Orestes Foresto‐Neto Brazil
Scott E. Liebman United States
Megumu Fukunaga Japan
Beate Tiran Austria
Jenny E. Kootstra‐Ros Netherlands
Joon Seok Choi South Korea
Su Mi Lee South Korea
Farsad Afshinnia United States
Giacomo Levantesi Italy
Won Suk An relative to Kazutaka Matsushita Japan Kazutaka Matsushita's profile →
Citations per field
00.5×3.0×
Kazutaka Matsushita · 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 2009121
2 201357
3 201240
4 201537
5 202134
6 201028
7 201827
8 200927
9 201126
10 202125
11 200922
12 200922
13 201221
14 202220
15 201220
16 201319
17 202018
18 201818
19 201117
20 201117

About Won Suk An

Won Suk An is a scholar working on Nephrology, Surgery, Nutrition and Dietetics, Epidemiology and Physiology, having authored 68 papers that have together received 872 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (8 papers), Parathyroid Disorders and Treatments (8 papers), Dialysis and Renal Disease Management (5 papers), Folate and B Vitamins Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Renal Diseases and Glomerulopathies (4 papers), Nutrition and Health in Aging (3 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Nephrology (295 citations), Nutrition and Dietetics (214 citations), Biochemistry (59 citations), Clinical Biochemistry (33 citations) and Physiology (113 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, Mihwa Lee, Ki Hyun Kim and Jin‐Yeong Han. Their work appears in journals such as Kidney Research and Clinical Practice, Renal Failure, PLoS ONE, Nephrology Dialysis Transplantation and Journal of Korean Medical Science.

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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