Kang–Nyeong Heo
- Animal Science and Zoology top 0.5%
- Animal Nutrition and Physiology 56
- Livestock and Poultry Management 24
- Meat and Animal Product Quality 13
- Insect Science top 5%
- Genetics top 10%
- Genetic and phenotypic traits in livestock 18
- Nutrition and Dietetics top 10%
- Biochemical Analysis and Sensing Techniques 9
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth 10
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- Food Quality and Safety Studies 10
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- melanin and skin pigmentation 9
- Co-authors
- Jun Heon LeeCheorun JoDongwon SeoEui-Chul HongShil JinSamooel JungHyo-Jun ChooHee-Bok Park
- Partner nations
- South KoreaIndonesiaBangladesh
In The Last Decade
Kang–Nyeong Heo
79 papers receiving 687 citations
Peers
Comparison fields: 5 of 61
- Animal Science and Zoology 600
- Insect Science 106
- Genetics 223
- Nutrition and Dietetics 110
- Aquatic Science 51
Countries citing papers authored by Kang–Nyeong Heo
This map shows the geographic impact of Kang–Nyeong Heo'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 Kang–Nyeong Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang–Nyeong Heo more than expected).
Fields of papers citing papers by Kang–Nyeong Heo
This network shows the impact of papers produced by Kang–Nyeong Heo. 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 Kang–Nyeong Heo. The network helps show where Kang–Nyeong Heo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kang–Nyeong Heo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2018 | 7 | |
| 9 | 2017 | 28 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 15 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 16 | |
| 15 | 2014 | 10 | |
| 16 | Discrimination of Woorimagdag version 2 chicken population using microsatellite markers | 2013 | 0 |
| 17 | Breeding and Genetics : ISAG-recommended Microsatellite Marker Analysis Among Five Korean Native Chicken Lines | 2012 | 1 |
| 18 | 2011 | 2 | |
| 19 | 2011 | 65 | |
| 20 | Identification of MC1R gene polymorphisms for plumage color variation in Korean native chicken | 2011 | 0 |
About Kang–Nyeong Heo
Kang–Nyeong Heo is a scholar working on Animal Science and Zoology, Aquatic Science and Nutrition and Dietetics, having authored 86 papers that have together received 794 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (56 papers), Livestock and Poultry Management (24 papers), Genetic and phenotypic traits in livestock (18 papers), Meat and Animal Product Quality (13 papers), Food Quality and Safety Studies (10 papers), Aquaculture Nutrition and Growth (10 papers), melanin and skin pigmentation (9 papers) and Biochemical Analysis and Sensing Techniques (9 papers). The work is most often cited by research in Animal Science and Zoology (600 citations), Insect Science (106 citations) and Genetics (223 citations). Kang–Nyeong Heo has collaborated with scholars based in South Korea, Indonesia and Bangladesh. Frequent co-authors include Jun Heon Lee, Cheorun Jo, Dongwon Seo, Eui-Chul Hong, Shil Jin, Samooel Jung, Hyo-Jun Choo, Hee-Bok Park, Seung Hwan Lee and In K. Han.
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.