Hyo‐In Yun

78 total papers · 882 total citations
55 papers, 727 citations indexed

About

Hyo‐In Yun is a scholar working on Pharmacology, Molecular Biology and Pharmacology. According to data from OpenAlex, Hyo‐In Yun has authored 55 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pharmacology, 11 papers in Molecular Biology and 10 papers in Pharmacology. Recurrent topics in Hyo‐In Yun's work include Antibiotics Pharmacokinetics and Efficacy (16 papers), Drug Transport and Resistance Mechanisms (9 papers) and Coccidia and coccidiosis research (6 papers). Hyo‐In Yun is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (16 papers), Drug Transport and Resistance Mechanisms (9 papers) and Coccidia and coccidiosis research (6 papers). Hyo‐In Yun collaborates with scholars based in South Korea, United States and Italy. Hyo‐In Yun's co-authors include Jong‐Hwan Lim, Youn‐Hwan Hwang, Myoung-Seok Kim, Byung-Kwon Park, In-Bae Song, Seung‐Chun Park, Mario Gıorgı, Tae‐Won Kim, Mihyun Hwang and Hong-Ki Lee and has published in prestigious journals such as Aquaculture, European Journal of Pharmacology and Food and Chemical Toxicology.

In The Last Decade

Hyo‐In Yun

51 papers receiving 688 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hyo‐In Yun 245 177 98 94 84 55 727
Gary O. Korsrud 165 0.7× 121 0.7× 78 0.8× 52 0.6× 86 1.0× 42 720
Ν. Gyrd-Hansen 231 0.9× 94 0.5× 91 0.9× 73 0.8× 65 0.8× 56 863
Tomasz Grabowski 190 0.8× 152 0.9× 50 0.5× 44 0.5× 50 0.6× 114 782
Carles Cristòfol 131 0.5× 102 0.6× 92 0.9× 202 2.1× 86 1.0× 52 777
R. F. Bevill 269 1.1× 86 0.5× 84 0.9× 156 1.7× 105 1.3× 46 707
Walther Honscha 81 0.3× 167 0.9× 162 1.7× 85 0.9× 58 0.7× 58 879
Teresa L. Leavens 123 0.5× 81 0.5× 64 0.7× 102 1.1× 51 0.6× 32 677
Shanxiang Jiang 115 0.5× 186 1.1× 55 0.6× 50 0.5× 97 1.2× 61 683
Muammer Elmas 289 1.2× 82 0.5× 25 0.3× 80 0.9× 85 1.0× 54 659
Anna Gajda 211 0.9× 186 1.1× 187 1.9× 36 0.4× 81 1.0× 69 751

Countries citing papers authored by Hyo‐In Yun

Since Specialization
Citations

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

Fields of papers citing papers by Hyo‐In Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo‐In Yun. 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 Hyo‐In Yun. The network helps show where Hyo‐In Yun may publish in the future.

Co-authorship network of co-authors of Hyo‐In Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Hyo‐In Yun. A scholar is included among the top collaborators of Hyo‐In Yun 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 Hyo‐In Yun. Hyo‐In Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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