Sun-Ho Choi

460 total citations
42 papers, 342 citations indexed

About

Sun-Ho Choi is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sun-Ho Choi has authored 42 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 12 papers in Agronomy and Crop Science and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sun-Ho Choi's work include Reproductive Biology and Fertility (15 papers), Agriculture, Soil, Plant Science (8 papers) and Reproductive Physiology in Livestock (7 papers). Sun-Ho Choi is often cited by papers focused on Reproductive Biology and Fertility (15 papers), Agriculture, Soil, Plant Science (8 papers) and Reproductive Physiology in Livestock (7 papers). Sun-Ho Choi collaborates with scholars based in South Korea, United States and Japan. Sun-Ho Choi's co-authors include Dongsoo Son, Changyong Choe, Hyunjong Kim, Junhee Seok, Jong-Ho Kim, Hyung Joon Joo, Jisoo Han, Hakhyun Ka, Jeong Hyeon Lee and Inkyu Yoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biology of Reproduction.

In The Last Decade

Sun-Ho Choi

39 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun-Ho Choi South Korea 10 149 115 74 69 64 42 342
Nazario Pescador Salas Mexico 12 101 0.7× 76 0.7× 90 1.2× 144 2.1× 140 2.2× 25 429
Taylor Pini Australia 11 251 1.7× 358 3.1× 83 1.1× 106 1.5× 67 1.0× 29 469
Tesfaye Worku China 9 62 0.4× 57 0.5× 117 1.6× 41 0.6× 58 0.9× 13 293
Mustafa Hitit Türkiye 11 256 1.7× 324 2.8× 72 1.0× 147 2.1× 105 1.6× 48 520
Chuanliang Ji China 11 47 0.3× 73 0.6× 62 0.8× 62 0.9× 68 1.1× 24 250
Sudeep Sahadevan Germany 10 66 0.4× 17 0.1× 239 3.2× 46 0.7× 68 1.1× 22 395
Sara Albarella Italy 14 63 0.4× 84 0.7× 151 2.0× 51 0.7× 242 3.8× 43 472
Sarah Barbey France 12 71 0.5× 48 0.4× 66 0.9× 210 3.0× 135 2.1× 22 434
Sally Ibrahim Egypt 11 49 0.3× 81 0.7× 86 1.2× 146 2.1× 52 0.8× 40 422
S.A. Ericsson United States 10 230 1.5× 238 2.1× 61 0.8× 35 0.5× 59 0.9× 16 354

Countries citing papers authored by Sun-Ho Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Ho Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun-Ho Choi. 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-Ho Choi. The network helps show where Sun-Ho Choi may publish in the future.

Co-authorship network of co-authors of Sun-Ho Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sun-Ho Choi. A scholar is included among the top collaborators of Sun-Ho Choi 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 Sun-Ho Choi. Sun-Ho Choi 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.
Choi, Sun-Ho, et al.. (2024). Automated BigSMILES conversion workflow and dataset for homopolymeric macromolecules. Scientific Data. 11(1). 371–371. 2 indexed citations
2.
Kim, Soojeong, Sun-Ho Choi, & Junhee Seok. (2021). Keyword Extraction in Economics Literatures using Natural Language Processing. 75–77. 5 indexed citations
3.
Choi, Sun-Ho, Minhyeok Lee, Young Soo Park, et al.. (2020). Clinical Implication of Concordant or Discordant Genomic Profiling between Primary and Matched Metastatic Tissues in Patients with Colorectal Cancer. Cancer Research and Treatment. 52(3). 764–778. 6 indexed citations
4.
Seo, Wan Seok, et al.. (2020). Yeungnam University type drive-through (YU-Thru) coronavirus disease 2019 (COVID-19) screening system: a rapid and safe screening system. SHILAP Revista de lepidopterología. 37(4). 349–355. 4 indexed citations
5.
Lee, Jeong Hyeon, et al.. (2020). Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records. Scientific Reports. 10(1). 20265–20265. 34 indexed citations
6.
Kim, Jun‐Mo, Jong‐Eun Park, Inkyu Yoo, et al.. (2018). Integrated transcriptomes throughout swine oestrous cycle reveal dynamic changes in reproductive tissues interacting networks. Scientific Reports. 8(1). 5436–5436. 33 indexed citations
7.
Yoo, Inkyu, et al.. (2017). Expression and regulation of interleukin 6 and its receptor at the maternal-conceptus interface during pregnancy in pigs. Theriogenology. 96. 85–91. 13 indexed citations
8.
Kim, Ki‐Jung, Yong‐An Lee, Bang‐Jin Kim, et al.. (2015). Cryopreservation of putative pre-pubertal bovine spermatogonial stem cells by slow freezing. Cryobiology. 70(2). 175–183. 32 indexed citations
9.
10.
Choe, Changyong, Sun-Ho Choi, Tai‐Young Hur, et al.. (2012). A Survey of Disease Occurrence in Korean Black Goats. 한국임상수의학회지. 29(2). 160–164. 3 indexed citations
11.
Kang, Tae‐Young, et al.. (2012). Effect of Adding Taurine, Hypotaurine and Trehalose as Antioxidants to a Tris-based Egg Yolk Extender on Korean Jeju Black Bull Sperm Quality Following Cryopreservation. Journal of Animal Science and Technology. 54(4). 283–290. 7 indexed citations
12.
Choi, Sun-Ho, et al.. (2012). Effects of Fermented feed with Agricultural by-products on the Growth Performance and Nutrients Utilization in Fattening Korean Black Goats. Journal of The Korean Society of Grassland and Forage Science. 32(1). 49–58. 4 indexed citations
13.
Choi, Sun-Ho, et al.. (2011). 제주흑우 동결정액 제조시 EthyleneGlycol의 농도와 예비 동결 조건이 정자의 생존율 및 첨체양상에 미치는 영향. 35(3). 377–383. 2 indexed citations
14.
Choi, Sun-Ho, et al.. (2010). Effect of In Vivo Embryo Production and Embryo Transfer Following Superovulation in Hanwoo. Journal of Animal Reproduciton and Biotechnology. 25(3). 141–144. 1 indexed citations
15.
Son, Dongsoo, Changyong Choe, Sun-Ho Choi, et al.. (2007). A CIDR-Based Timed Embryo Transfer Protocol Increases the Pregnancy Rate of Lactating Repeat Breeder Dairy Cows. Journal of Reproduction and Development. 53(6). 1313–1318. 18 indexed citations
16.
Choi, Sun-Ho. (2006). Effects of Total Mixed Ration with Wet Brewer's Grain on the Performance and Nutrient Utilization in Castrated Korean Black Goats. Journal of The Korean Society of Grassland and Forage Science. 26(4). 199–206. 11 indexed citations
17.
Son, Dongsoo, Changyong Choe, Sun-Ho Choi, et al.. (2006). Effect of estradiol benzoate or GnRH treatment prior to superstimulation in CIDR-treated, Korean native cows (Bos taurus). Animal Reproduction Science. 100(1-2). 14–21. 6 indexed citations
18.
Choe, Changyong, et al.. (2006). 184 EFFECT OF CONCENTRATION AND EXPOSURE DURATION OF FETAL BOVINE SERUM ON PARTHENOGENETIC DEVELOPMENT OF PORCINE FOLLICULAR OOCYTES. Reproduction Fertility and Development. 19(1). 208–209. 1 indexed citations
19.
Choi, Sun-Ho. (2005). Effects of Dietary Crude Protein Level on Growth and Meat Quality of Korean Native Goats. Journal of Animal Science and Technology. 47(5). 783–788. 9 indexed citations
20.

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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