Yong Ko

55 papers receiving 1.2k citations

Peers

Yong Ko
Comparison fields: 5 of 103
  • Developmental Neuroscience 121
  • Genetics 125
  • Reproductive Medicine 92
  • Agronomy and Crop Science 104
  • Endocrinology, Diabetes and Metabolism 114
Replace Seungkwon You with:
Seungkwon You South Korea
Meng Li China
Shuai Li China
Russell C. Hovey United States
Lixin Liu China
Jacques Picard France
Young‐Kug Choo South Korea
Telma M.T. Zorn Brazil
Mee‐Sup Yoon South Korea
Jian Tan United States
Yong Ko relative to Seungkwon You South Korea Seungkwon You's profile →
Citations per field
00.5×2.8×
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-authors

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

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007184
2 199174
3 201268
4 200957
5 201557
6 201149
7 200548
8 200547
9 200240
10 200640
11 200439
12 201737
13 201235
14 199734
15 200431
16 200831
17 198928
18 199826
19 201023
20 198822

About Yong Ko

Yong Ko is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Physiology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Reproductive Biology and Fertility (12 papers), Reproductive Physiology in Livestock (9 papers), Adipose Tissue and Metabolism (6 papers), TGF-β signaling in diseases (4 papers), Animal Nutrition and Physiology (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Developmental Neuroscience (121 citations), Genetics (125 citations), Reproductive Medicine (92 citations), Agronomy and Crop Science (104 citations) and Endocrinology, Diabetes and Metabolism (114 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, Eun Joong Kim, In H. Park, Sang‐Wuk Jeong, Won Kon Kim and Fuller W. Bazer. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Poultry Science, Biology of Reproduction, Journal of Biological Chemistry and Food and Chemical Toxicology.

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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