Seong Yeon Park

3.4k citations
95 papers · 2.3k indexed · 2 hit papers · h-index 22

Seong Yeon Park

91 papers receiving 2.3k citations

Hit Papers

miR-29 miRNAs activate p53 by targeting p85α and CDC425222006202620122019100200300400500

Peers

Seong Yeon Park
Comparison fields: 5 of 153
  • Cancer Research 728
  • Applied Microbiology and Biotechnology 72
  • Molecular Medicine 138
  • Infectious Diseases 365
  • Clinical Biochemistry 116
Replace Roger Vogelmann with:
Roger Vogelmann Germany
Susan Taylor New Zealand
Lise Christensen Denmark
Aviv Barzilai Israel
Mohsen Moghoofei Iran
Fengmin Lu China
David M. Johnson United States
Jianfeng Han China
Shane O’Neill Ireland
Shuichi Taniguchi Japan
Seong Yeon Park relative to Roger Vogelmann Germany Roger Vogelmann's profile →
Citations per field
00.5×4.9×
Roger Vogelmann · 1×
Citations per year

Countries citing papers authored by Seong Yeon Park

Since Specialization
Citations

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

Fields of papers citing papers by Seong Yeon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20247
4 20241
5 20241
6 20234
7 202213
8 202019
9 20208
10 201923
11 20196
12 20191
13 20189
14 201513
15 201526
16 201535
17 201428
18
The Effect of Position Change on Comfort and Bleeding after Transarterial Chemoembolization
20104
19
miR-29 miRNAs activate p53 by targeting p85α and CDC42breakdown →
2008522
20 20031

About Seong Yeon Park

Seong Yeon Park is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Infectious Diseases and Tuberculosis (10 papers), Orthopedic Infections and Treatments (8 papers), Antibiotic Resistance in Bacteria (8 papers), Herpesvirus Infections and Treatments (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Streptococcal Infections and Treatments (7 papers), Pneumonia and Respiratory Infections (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). The work is most often cited by research in Cancer Research (728 citations), Applied Microbiology and Biotechnology (72 citations) and Molecular Medicine (138 citations). Seong Yeon Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include V. Narry Kim, Minju Ha, Jin‐Wu Nam, Jung Hyun Lee, V Narry Kim, Yoontae Lee, Young Kook Kim, Sang‐Ho Choi, Yang Soo Kim and Sung‐Han Kim. Their work appears in journals such as The EMBO Journal, PLoS ONE and Clinical Infectious Diseases.

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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