Sang‐Won Park

14.3k citations
288 papers · 10.4k indexed · 2 hit papers · h-index 40

Sang‐Won Park

266 papers receiving 10.2k citations

Hit Papers

6.5% efficient perovskite quantum-dot-sensitized solar cell2.7k200620262012201950010001.5k2.0k2.5k

Peers

Sang‐Won Park
Comparison fields: 5 of 190
  • Applied Microbiology and Biotechnology 332
  • Geriatrics and Gerontology 425
  • Molecular Medicine 527
  • Infectious Diseases 1.9k
  • Clinical Biochemistry 676
Replace Xuedong Zhou with:
Xuedong Zhou China
Kim Ys South Korea
Lin Wang China
Walter Zingg Switzerland
Bing Gu China
Sung‐Han Kim South Korea
Young Sam Kim South Korea
Yu‐Ming Chen China
Adam J. Singer United States
Yoshihiro Yamamoto Japan
Sang‐Won Park relative to Xuedong Zhou China Xuedong Zhou's profile →
Citations per field
00.5×7.1×
Xuedong Zhou · 1×
Citations per year

Countries citing papers authored by Sang‐Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Won Park. 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 Sang‐Won Park. The network helps show where Sang‐Won Park may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202311
3 20234
4 20232
5 20232
6 20223
7 202125
8 20196
9 2016156
10 2011101
11 20092
12 200655
13 20050
14 20037
15 20010
16 20001
17 19981
18 19951
19 19951
20 19912

About Sang‐Won Park

Sang‐Won Park is a scholar working on Infectious Diseases, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 288 papers that have together received 10.4k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (28 papers), SARS-CoV-2 and COVID-19 Research (24 papers), Antimicrobial Resistance in Staphylococcus (20 papers), COVID-19 Clinical Research Studies (19 papers), Pneumonia and Respiratory Infections (11 papers), Antibiotic Resistance in Bacteria (10 papers), HIV/AIDS drug development and treatment (10 papers) and Infectious Diseases and Tuberculosis (10 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (332 citations), Geriatrics and Gerontology (425 citations) and Molecular Medicine (527 citations). Sang‐Won Park has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Nam‐Gyu Park, Chang-Ryul Lee, Jin‐Wook Lee, Jeong‐Hyeok Im, Myoung‐don Oh, Hong Bin Kim, Stephen B. Kritchevsky, Bret H. Goodpaster, T. B. Harris and Marjolein Visser. Their work appears in journals such as Journal of Korean Medical Science, BMC Infectious Diseases, Antimicrobial Agents and Chemotherapy, Clinical Infectious Diseases and American Journal of Infection Control.

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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