Dae Won Park

7.7k citations
244 papers · 5.4k indexed · 1 hit paper · h-index 39
Topics
Sepsis Diagnosis and Treatment (23 papers)Urinary Tract Infections Management (16 papers)Carbon dioxide utilization in catalysis (16 papers)

In The Last Decade

Dae Won Park

221 papers receiving 5.2k citations

Hit Papers

Metformin reverses established lung fibrosis in a bleomyc...20182026202020232018100200300400

Peers

Dae Won Park
Comparison fields: 5 of 170
  • Epidemiology 1.6k
  • Infectious Diseases 929
  • Molecular Biology 853
  • Immunology 697
  • Process Chemistry and Technology 660
Replace Carolyn L. Cannon with:
Carolyn L. Cannon United States
Jae‐Seok Kim South Korea
Takashi Deguchi Japan
Kenji Hara Japan
Keith C. Meyer United States
Yawei Zhang China
Yoshihiro Yamamoto Japan
Hajime Goto Japan
Sean P. Gorman United Kingdom
Gefei Wang China
Dae Won Park relative to Carolyn L. Cannon United States Carolyn L. Cannon's profile →
Citations per field
00.5×
Carolyn L. Cannon · 1×
Citations per year

Countries citing papers authored by Dae Won Park

Since Specialization
Citations

This map shows the geographic impact of Dae 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 Dae 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 Dae Won Park more than expected).

Fields of papers citing papers by Dae Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Won Park

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Won Park. A scholar is included among the top collaborators of Dae Won Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dae Won Park. Dae Won Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 2
6 2
7 1
8 9
9 3
10 45
11 13
12 7
13 4
14 3
15 17
16 212
17 10
18 28
19 23
20 9

About Dae Won Park

Dae Won Park is a scholar working on Process Chemistry and Technology, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 244 papers that have together received 5.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (23 papers), Urinary Tract Infections Management (16 papers) and Carbon dioxide utilization in catalysis (16 papers). The work is most often cited by research in Process Chemistry and Technology (660 citations), Applied Microbiology and Biotechnology (142 citations) and Molecular Medicine (336 citations). Dae Won Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jaroslaw W. Zmijewski, Min Ja Kim, Won Suk Choi, Shaoning Jiang, Jang Wook Sohn, Edward Abraham, Hyeri Seok, Amal Cherian Kathalikkattil, Jong Shik Chung and Young Kyung Yoon. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

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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