Sung Taek Park

1.0k citations
55 papers · 614 indexed · 1 hit paper · h-index 16

Sung Taek Park

54 papers receiving 607 citations

Hit Papers

Revolutionizing oncology: the role of Artificial Intellig...21202520265101520

Peers

Sung Taek Park
Comparison fields: 5 of 107
  • Obstetrics and Gynecology 81
  • Reproductive Medicine 76
  • Health Informatics 9
  • Health 50
  • Epidemiology 153
Replace Khalid Sait with:
Khalid Sait Saudi Arabia
Nirmala Chandralega Kampan Malaysia
Amishi Bajaj United States
Thomas Kolben Germany
Jillian H. Hurst United States
Safoura Taheri Iran
Taryn Summerfield United States
H. Wiener Austria
Xiaoyan Liu China
Zacharias Fasoulakis Greece
Sung Taek Park relative to Khalid Sait Saudi Arabia Khalid Sait's profile →
Citations per field
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Khalid Sait · 1×
Citations per year

Countries citing papers authored by Sung Taek Park

Since Specialization
Citations

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

Fields of papers citing papers by Sung Taek Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2
Revolutionizing oncology: the role of Artificial Intelligence (AI) as an antibody design, and optimization toolsbreakdown →
202521
3 20253
4 20243
5 20241
6 202312
7 20235
8 202315
9 20236
10 202215
11 202113
12 201933
13 201813
14 201624
15 20169
16 201415
17 201313
18 201216
19 201125
20
A case of trapped placenta in uterine sacculation after normal delivery
20061

About Sung Taek Park

Sung Taek Park is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Oncology, having authored 55 papers that have together received 614 indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (8 papers), Endometriosis Research and Treatment (7 papers), Cervical Cancer and HPV Research (6 papers), Preterm Birth and Chorioamnionitis (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Pelvic floor disorders treatments (3 papers), Reproductive tract infections research (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Obstetrics and Gynecology (81 citations), Reproductive Medicine (76 citations) and Health Informatics (9 citations). Sung Taek Park has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Ga‐Hyun Son, Youngmi Kim, Hye Yon Cho, Soo Young Hur, Jong Sup Park, Sung Ho Park, Hyeong Su Kim, Jae Jun Lee, Boh-Ram Kim and Hong-Bae Kim. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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