Woo‐Sung Kwon

2.7k total citations
90 papers, 2.1k citations indexed

About

Woo‐Sung Kwon is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Woo‐Sung Kwon has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Reproductive Medicine, 40 papers in Public Health, Environmental and Occupational Health and 21 papers in Genetics. Recurrent topics in Woo‐Sung Kwon's work include Sperm and Testicular Function (51 papers), Reproductive Biology and Fertility (40 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers). Woo‐Sung Kwon is often cited by papers focused on Sperm and Testicular Function (51 papers), Reproductive Biology and Fertility (40 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers). Woo‐Sung Kwon collaborates with scholars based in South Korea, Taiwan and United States. Woo‐Sung Kwon's co-authors include Myung‐Geol Pang, Md Saidur Rahman, Yoo-Jin Park, Sung‐Jae Yoon, June-Sub Lee, Buom‐Yong Ryu, Young‐Ah You, Do‐Yeal Ryu, Elsayed A. Mohamed and Amena Khatun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Woo‐Sung Kwon

86 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woo‐Sung Kwon South Korea 26 1.3k 876 447 431 431 90 2.1k
Yoo-Jin Park South Korea 23 886 0.7× 615 0.7× 311 0.7× 426 1.0× 397 0.9× 52 1.7k
Jana Pěknicová Czechia 24 862 0.7× 637 0.7× 260 0.6× 331 0.8× 276 0.6× 81 1.6k
D. N. Rao Veeramachaneni United States 26 741 0.6× 532 0.6× 338 0.8× 649 1.5× 583 1.4× 66 2.5k
Sellappan Selvaraju India 27 1.1k 0.9× 823 0.9× 495 1.1× 363 0.8× 208 0.5× 101 2.2k
Reinhold J. Hutz United States 27 450 0.4× 517 0.6× 354 0.8× 317 0.7× 802 1.9× 82 2.2k
Peter Chrenek Slovakia 23 549 0.4× 602 0.7× 532 1.2× 508 1.2× 142 0.3× 194 2.1k
Moncef Benkhalifa France 30 1.8k 1.4× 1.5k 1.7× 444 1.0× 596 1.4× 229 0.5× 108 2.8k
Susan Benoff United States 27 1.5k 1.2× 938 1.1× 233 0.5× 488 1.1× 538 1.2× 54 2.3k
G. J. Killian United States 31 1.6k 1.3× 1.3k 1.4× 430 1.0× 510 1.2× 220 0.5× 68 2.8k
Alexandra Amaral Portugal 16 1.3k 1.0× 1.0k 1.1× 317 0.7× 694 1.6× 83 0.2× 21 2.0k

Countries citing papers authored by Woo‐Sung Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Woo‐Sung Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Sung Kwon. 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 Woo‐Sung Kwon. The network helps show where Woo‐Sung Kwon may publish in the future.

Co-authorship network of co-authors of Woo‐Sung Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Woo‐Sung Kwon. A scholar is included among the top collaborators of Woo‐Sung Kwon 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 Woo‐Sung Kwon. Woo‐Sung Kwon 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.
Moon, Joonho, et al.. (2025). Role of PI3K/AKT signaling pathway during capacitation. Theriogenology. 235. 94–102. 2 indexed citations
2.
Kwon, Woo‐Sung, et al.. (2024). Proteomic analysis of fipronil-induced molecular defects in spermatozoa. Scientific Reports. 14(1). 7668–7668. 2 indexed citations
3.
Kim, Dae Hyun, et al.. (2024). Correlation between Rab3A Expression and Sperm Kinematic Characteristics. Development & Reproduction. 28(1). 13–19.
4.
Lee, Woojin, et al.. (2024). Miltefosine induces reproductive toxicity during sperm capacitation by altering PI3K/AKT signaling pathway. Environmental Toxicology and Pharmacology. 111. 104565–104565. 2 indexed citations
6.
Ryu, Do‐Yeal, et al.. (2024). Nirmatrelvir has detrimental effects on sperm function by altering the PI3K/PDK1/AKT signaling pathway. Toxicology in Vitro. 99. 105848–105848. 1 indexed citations
7.
Lee, Woojin, et al.. (2024). Effects of oridonin on sperm function and the PI3K/PDK1/AKT signaling pathway: Implications for reproductive toxicity. Reproductive Toxicology. 128. 108659–108659.
8.
Yoon, Minjung, et al.. (2024). Bifenthrin Diminishes Male Fertility Potential by Inducing Protein Defects in Mouse Sperm. Toxics. 12(1). 53–53. 3 indexed citations
9.
Ha, Jae Jung, et al.. (2024). Adverse Effects of Avobenzone on Boar Sperm Function: Disruption of Protein Kinase A Activity and Tyrosine Phosphorylation. Reproductive Toxicology. 125. 108559–108559. 1 indexed citations
10.
Kim, Dae‐Hyun, et al.. (2024). Ethylene oxide suppresses boar sperm function during capacitation. Reproductive Toxicology. 129. 108678–108678. 1 indexed citations
11.
Kim, Dae Hyun, Woo‐Sung Kwon, Jae Jung Ha, et al.. (2023). Effect of oestrus synchronisation through ovulation delay by vaccination against foot‐and‐mouth disease in Hanwoo ( Bos taurus coreanae) cows. Veterinary Medicine and Science. 9(2). 974–981. 5 indexed citations
12.
Park, Jae Hong, Sang In Lee, Woo‐Sung Kwon, Sungbo Cho, & In Ho Kim. (2023). Health benefits of co-supplementing mealworm protein hydrolysate and cranberry fruit extract. Italian Journal of Food Science. 35(1). 1–9. 4 indexed citations
13.
Shin, Sangsu, et al.. (2023). Perfluorooctanoic acid suppresses sperm functions via abnormal Protein Kinase B activation during capacitation. Reproductive Toxicology. 123. 108528–108528. 3 indexed citations
14.
Kwon, Woo‐Sung, et al.. (2022). Prediction of male fertility using Ras-related proteins. Journal of Animal Science and Technology. 64(6). 1024–1034. 7 indexed citations
15.
Kim, Dae Hyun, et al.. (2021). Differences in ruminal temperature between pregnant and non-pregnant Korean cattle. SHILAP Revista de lepidopterología. 36(1). 45–50. 6 indexed citations
16.
Kim, Sohye, et al.. (2020). Detrimental effects of temephos on male fertility: An in vitro study on a mouse model. Reproductive Toxicology. 96. 150–155. 15 indexed citations
17.
Kwon, Woo‐Sung, et al.. (2020). Investigating the effects of fipronil on male fertility: Insight into the mechanism of capacitation. Reproductive Toxicology. 94. 1–7. 22 indexed citations
18.
Kwon, Woo‐Sung, Dong‐Ha Shin, Do‐Yeal Ryu, et al.. (2017). Applications of capacitation status for litter size enhancement in various pig breeds. Asian-Australasian Journal of Animal Sciences. 31(6). 842–850. 16 indexed citations
19.
You, Young‐Ah, Woo‐Sung Kwon, Md Saidur Rahman, et al.. (2017). Sex chromosome-dependent differential viability of human spermatozoa during prolonged incubation. Human Reproduction. 32(6). 1183–1191. 29 indexed citations
20.
Kwon, Woo‐Sung, Md Saidur Rahman, June-Sub Lee, et al.. (2014). A comprehensive proteomic approach to identifying capacitation related proteins in boar spermatozoa. BMC Genomics. 15(1). 897–897. 122 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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