Ki Hoon Ahn

1.6k total citations
111 papers, 1.1k citations indexed

About

Ki Hoon Ahn is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Ki Hoon Ahn has authored 111 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Obstetrics and Gynecology, 39 papers in Pediatrics, Perinatology and Child Health and 33 papers in Epidemiology. Recurrent topics in Ki Hoon Ahn's work include Pregnancy and preeclampsia studies (25 papers), Preterm Birth and Chorioamnionitis (21 papers) and Birth, Development, and Health (15 papers). Ki Hoon Ahn is often cited by papers focused on Pregnancy and preeclampsia studies (25 papers), Preterm Birth and Chorioamnionitis (21 papers) and Birth, Development, and Health (15 papers). Ki Hoon Ahn collaborates with scholars based in South Korea, Japan and United States. Ki Hoon Ahn's co-authors include Kwang‐Sig Lee, Soon–Cheol Hong, Min‐Jeong Oh, Tak Kim, Geum Joon Cho, Hai‐Joong Kim, Jun Young Hur, Jung‐Ho Shin, Young Tae Kim and Kyu Wan Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Obstetrics and Gynecology.

In The Last Decade

Ki Hoon Ahn

107 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ki Hoon Ahn South Korea 17 379 272 265 213 199 111 1.1k
Hassan Shehata United Kingdom 21 738 1.9× 414 1.5× 259 1.0× 301 1.4× 75 0.4× 58 1.4k
A. Reichelt Germany 20 698 1.8× 231 0.8× 693 2.6× 105 0.5× 216 1.1× 125 1.6k
Benjamin Nutter United States 21 331 0.9× 102 0.4× 515 1.9× 59 0.3× 107 0.5× 53 1.3k
Hiroaki Tanaka Japan 22 503 1.3× 475 1.7× 195 0.7× 246 1.2× 139 0.7× 133 1.4k
Syed Habeebullah India 19 328 0.9× 249 0.9× 162 0.6× 154 0.7× 96 0.5× 57 776
Amy B. Levine United States 16 205 0.5× 164 0.6× 262 1.0× 143 0.7× 30 0.2× 37 1.1k
Ekaterini Siomou Greece 18 133 0.4× 417 1.5× 169 0.6× 84 0.4× 201 1.0× 68 1.0k
Winfred L. Wiser United States 25 428 1.1× 333 1.2× 275 1.0× 440 2.1× 166 0.8× 57 1.7k
D. M. Campbell United Kingdom 19 499 1.3× 423 1.6× 120 0.5× 192 0.9× 112 0.6× 35 1.1k
Mari S. Oba Japan 19 105 0.3× 85 0.3× 324 1.2× 76 0.4× 160 0.8× 103 1.3k

Countries citing papers authored by Ki Hoon Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Ki Hoon Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki Hoon Ahn. 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 Ki Hoon Ahn. The network helps show where Ki Hoon Ahn may publish in the future.

Co-authorship network of co-authors of Ki Hoon Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Ki Hoon Ahn. A scholar is included among the top collaborators of Ki Hoon Ahn 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 Ki Hoon Ahn. Ki Hoon Ahn 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
1.
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Lee, Kwang‐Sig, et al.. (2024). Clinical and dental predictors of preterm birth using machine learning methods: the MOHEPI study. Scientific Reports. 14(1). 24664–24664. 1 indexed citations
3.
Kim, Eunha, et al.. (2024). Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study. Journal of Periodontal Research. 59(5). 939–950. 1 indexed citations
4.
Jung, Young Mi, Ho Yeon Kim, Ki Hoon Ahn, et al.. (2024). The Risk of Hypertension and Diabetes Mellitus According to Offspring’s Birthweight in Women With Normal Body Mass Index: A Nationwide Population-Based Study. Journal of Korean Medical Science. 39(5). e50–e50.
5.
Woo, J, Young Mi Jung, Ho Yeon Kim, et al.. (2024). The impact of the COVID-19 pandemic on infant obesity: A nationwide retrospective cohort study. Journal of Infection and Public Health. 17(5). 795–799. 1 indexed citations
6.
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Song, In‐Seok, et al.. (2023). Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data. International Journal of Environmental Research and Public Health. 20(3). 1732–1732. 4 indexed citations
8.
Kim, Ho Yeon, Ki Hoon Ahn, Geum Joon Cho, et al.. (2023). Prepregnancy Glucose Levels Within Normal Range and Its Impact on Obstetric Complications in Subsequent Pregnancy: A Population Cohort Study. Journal of Korean Medical Science. 38(35). e286–e286. 2 indexed citations
9.
Choi, E., et al.. (2023). Patient blood management to minimize transfusions during the postpartum period. Obstetrics & Gynecology Science. 66(6). 484–497. 1 indexed citations
10.
Ahn, Ki Hoon, et al.. (2022). A Survey on Public Perceptions of Low Fertility: A Social Research Panel Study. Journal of Korean Medical Science. 37(25). 2 indexed citations
11.
Lee, Kwang‐Sig, In‐Seok Song, Eun Sun Kim, Hae-In Kim, & Ki Hoon Ahn. (2022). Association of preterm birth with medications: machine learning analysis using national health insurance data. Archives of Gynecology and Obstetrics. 305(5). 1369–1376. 12 indexed citations
12.
Lee, Kwang‐Sig, Eun Sun Kim, In‐Seok Song, Hae-In Kim, & Ki Hoon Ahn. (2022). Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data. International Journal of Environmental Research and Public Health. 19(5). 3056–3056. 6 indexed citations
13.
Lee, Kwang‐Sig, Eun Sun Kim, Do Young ‍Kim, In‐Seok Song, & Ki Hoon Ahn. (2021). Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis. Journal of Korean Medical Science. 36(43). e282–e282. 12 indexed citations
14.
Lee, Kwang‐Sig, In‐Seok Song, Eun Sun Kim, & Ki Hoon Ahn. (2020). Determinants of Spontaneous Preterm Labor and Birth Including Gastroesophageal Reflux Disease and Periodontitis. Journal of Korean Medical Science. 35(14). e105–e105. 21 indexed citations
15.
Kim, Shin-Young, Hyun Soo Park, Hayan Kwon, et al.. (2020). Effect of Cervical Cerclage on the Risk of Recurrent Preterm Birth after a Twin Spontaneous Preterm Birth. Journal of Korean Medical Science. 35(11). e66–e66. 4 indexed citations
16.
Ouh, Yung‐Taek, Jong Heon Park, Ki Hoon Ahn, et al.. (2018). Recurrent Risk of Preterm Birth in the Third Pregnancy in Korea. Journal of Korean Medical Science. 33(24). e170–e170. 9 indexed citations
17.
18.
Ahn, Ki Hoon, et al.. (2011). Microarray Analysis of Gene Expression During Differentiation of Human Mesenchymal Stem Cells Treated with Vitamin E in vitro into Osteoblasts. Journal of Bone Metabolism. 18(1). 23–32. 9 indexed citations
19.
Ahn, Ki Hoon, et al.. (2011). Barium Stimulates the Expression of Osteogenic Genes in Human Mesenchymal Stem Cells into Osteoblasts in vitro. 17(2). 81–87. 2 indexed citations
20.
Cho, Geum Joon, et al.. (2004). A Clinicopathologic Study of Ovarian Granulosa Cell Tumor.. Obstetrics & Gynecology Science. 47(8). 1505–1512. 1 indexed citations

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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