Yong Ko

1.6k citations
56 papers · 1.3k indexed · h-index 22

Yong Ko

55 papers receiving 1.2k citations

Peers

Yong Ko
Comparison fields: 5 of 109
  • Developmental Neuroscience 134
  • Reproductive Medicine 122
  • Genetics 142
  • Agronomy and Crop Science 104
  • Molecular Biology 504
Replace Seungkwon You with:
Seungkwon You South Korea
Telma M.T. Zorn Brazil
Mee‐Sup Yoon South Korea
Russell C. Hovey United States
Jian Tan United States
Jacques Picard France
Young‐Kug Choo South Korea
Tomo‐o Ishikawa United States
Hongjun Liu China
Minghao Jiang China
Yong Ko relative to Seungkwon You South Korea Seungkwon You's profile →
Citations per field
00.5×2.9×
Seungkwon You · 1×
Citations per year

Countries citing papers authored by Yong Ko

Since Specialization
Citations

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

Fields of papers citing papers by Yong Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong Ko. 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 Yong Ko. The network helps show where Yong Ko may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20219
2 20204
3 201557
4 201235
5 20129
6 201149
7 201116
8 20109
9 201023
10 200610
11 200640
12 200547
13
Resistivity variation with the grain growth and the boron content in Cu(B) films
20040
14 200431
15
Metamifop: a new post-emergence grass killing herbicide for use in rice.
20033
16
Study on the association of early egg productivity with serum insulin-like growth factor-I in Korean Native Ogol fowls.
20003
17 199734
18 199622
19 198928
20 198822

About Yong Ko

Yong Ko is a scholar working on Reproductive Medicine, Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Rehabilitation and Animal Science and Zoology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Reproductive Physiology in Livestock (9 papers), Adipose Tissue and Metabolism (7 papers), Mesenchymal stem cell research (5 papers), Ovarian function and disorders (5 papers), Sperm and Testicular Function (4 papers) and TGF-β signaling in diseases (4 papers). The work is most often cited by research in Developmental Neuroscience (134 citations), Reproductive Medicine (122 citations), Genetics (142 citations), Agronomy and Crop Science (104 citations) and Molecular Biology (504 citations). Yong Ko has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Seung Up Kim, Hong J. Lee, Kwang S. Kim, Frank A. Simmen, Kwang‐Hee Bae, Won Kon Kim, In H. Park, Eun Joong Kim, Sang‐Wuk Jeong and Rosalia C. M. Simmen. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Poultry Science, Food and Chemical Toxicology, Biology of Reproduction and Journal of Biological Chemistry.

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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