Hye Suck An

858 citations
78 papers · 643 indexed · h-index 14
Topics
Genetic diversity and population structure (56 papers)Identification and Quantification in Food (33 papers)Genetic and phenotypic traits in livestock (17 papers)
Partner nations
South KoreaJapanIran

In The Last Decade

Hye Suck An

76 papers receiving 621 citations

Peers

Hye Suck An
Comparison fields: 5 of 62
  • Genetics 371
  • Molecular Biology 229
  • Aquatic Science 221
  • Global and Planetary Change 202
  • Ecology 148
Replace Curtis E. Lind with:
Curtis E. Lind Australia
Takashi Asahida Japan
Zhiqian Liu China
Baocheng Guo China
V. P. E. Phang Singapore
Angelo Libertini Italy
P. Nisi Cerioni Italy
David C. H. Metzger Canada
Tomoyuki Kokita Japan
Aletta E. Bester‐van der Merwe South Africa
Hye Suck An relative to Curtis E. Lind Australia Curtis E. Lind's profile →
Citations per field
00.5×2.9×
Curtis E. Lind · 1×
Citations per year

Countries citing papers authored by Hye Suck An

Since Specialization
Citations

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

Fields of papers citing papers by Hye Suck An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye Suck An. 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 Hye Suck An. The network helps show where Hye Suck An may publish in the future.

Co-authorship network of co-authors of Hye Suck An

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Suck An. A scholar is included among the top collaborators of Hye Suck An 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 Hye Suck An. Hye Suck An 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
#WorkIndexed citations
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Research Articles : Morphometric Traits and Condition Indices in Artificially Induced Hybrids and Their Parental Species, Haliotis gigantean Gmelin (♀) and H. discus discus Reeve (♂)
3
20
Genetic Diversity of Rock Bream Oplegnathus fasciatus in Southern Korea
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About Hye Suck An

Hye Suck An is a scholar working on Aquatic Science, Genetics and Nature and Landscape Conservation, having authored 78 papers that have together received 643 indexed citations. Recurring topics across this work include Genetic diversity and population structure (56 papers), Identification and Quantification in Food (33 papers) and Genetic and phenotypic traits in livestock (17 papers). The work is most often cited by research in Aquatic Science (221 citations), Genetics (371 citations) and Global and Planetary Change (202 citations). Hye Suck An has collaborated with scholars based in South Korea, Japan and Iran. Frequent co-authors include Jung Youn Park, Mi‐Jung Kim, Eun Mi Kim, Jeong‐In Myeong, Cheul Min An, Hyun Chul Kim, Mi Jung Kim, Tae‐Jin Choi, Jung Yeon Park and Jae Koo Noh. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.

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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