Sun Kwon Kim

1.9k citations
58 papers · 1.6k · h-index 25

Impact in

Papers in

Sun Kwon Kim

56 papers receiving 1.5k citations

Peers

Sun Kwon Kim
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 425
  • Biotechnology 158
  • Epidemiology 547
  • Pediatrics, Perinatology and Child Health 193
  • Immunology 157
Replace F Corrado with:
F Corrado Italy
Andreas Repa Austria
Lynne Sykes United Kingdom
Shreyas Gandhi Canada
Péter Takács United States
Axel Olin Sweden
Anna Gustafsson Sweden
J Weits Netherlands
Cédric Rafat France
Andrew Szilagyi Canada
Sun Kwon Kim relative to F Corrado Italy F Corrado's profile →
Citations per field
00.5×2×4×6×8.3×
F Corrado · 1×
Citations per year

Countries citing papers authored by Sun Kwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun Kwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Kwon Kim. 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 Sun Kwon Kim. The network helps show where Sun Kwon Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011237
2 2009105
3 200964
4 200858
5 200954
6 201053
7 200852
8 200851
9 200951
10 200950
11 200946
12 200943
13 200939
14 200939
15 200933
16 200932
17 201032
18 201032
19 200932
20 201031

About Sun Kwon Kim

Sun Kwon Kim is a scholar working on Epidemiology, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Surgery, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (11 papers), Pregnancy and preeclampsia studies (11 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Retinoids in leukemia and cellular processes (3 papers), Maternal and fetal healthcare (3 papers), Neonatal Respiratory Health Research (3 papers), Biomarkers in Disease Mechanisms (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Obstetrics and Gynecology (425 citations), Biotechnology (158 citations), Epidemiology (547 citations), Pediatrics, Perinatology and Child Health (193 citations) and Immunology (157 citations). Sun Kwon Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Roberto Romero, Edi Vaisbuch, Juan Pedro Kusanovic, Shali Mazaki‐Tovi, Sonia S. Hassan, Lami Yeo, Offer Erez, Tinnakorn Chaiworapongsa, Francesca Gotsch and Percy Pacora. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Journal of Perinatal Medicine, American Journal of Obstetrics and Gynecology, American Journal of Reproductive Immunology and IEEE Transactions on Medical Imaging.

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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