Jin hwan Yoon

156 total papers · 467 total citations
57 papers, 332 citations indexed

About

Jin hwan Yoon is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Jin hwan Yoon has authored 57 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Jin hwan Yoon's work include Adipose Tissue and Metabolism (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Health and Wellbeing Research (5 papers). Jin hwan Yoon is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Health and Wellbeing Research (5 papers). Jin hwan Yoon collaborates with scholars based in South Korea, United States and China. Jin hwan Yoon's co-authors include Se Heang Oh, Kyu Sang Song, Jin Ho Lee, Uk Namgung, Jun Ho Kim, Byeong Hwa Jeon, Tae Beom Seo, Sukmook Lee, Ji‐Hyun Lee and Se Hwan Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and International Journal of Molecular Sciences.

In The Last Decade

Jin hwan Yoon

35 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Jin hwan Yoon 116 101 79 46 46 57 332
Alessandro Crosio 155 1.3× 73 0.7× 47 0.6× 145 3.2× 30 0.7× 34 305
Feng Xiong 52 0.4× 26 0.3× 65 0.8× 72 1.6× 19 0.4× 34 394
Sung Hoon Kim 69 0.6× 34 0.3× 39 0.5× 39 0.8× 14 0.3× 38 339
Jingjing Guan 60 0.5× 83 0.8× 128 1.6× 78 1.7× 10 0.2× 25 361
Heri Suroto 34 0.3× 32 0.3× 58 0.7× 170 3.7× 36 0.8× 67 372
Rui Cong 64 0.6× 16 0.2× 46 0.6× 127 2.8× 56 1.2× 31 321
Donghong Li 48 0.4× 22 0.2× 69 0.9× 27 0.6× 18 0.4× 22 340
Xin Chen 33 0.3× 55 0.5× 45 0.6× 57 1.2× 10 0.2× 28 358
Zhe Zhu 113 1.0× 25 0.2× 45 0.6× 103 2.2× 9 0.2× 35 342
Alireza Soltani Khaboushan 34 0.3× 125 1.2× 79 1.0× 139 3.0× 10 0.2× 27 339

Countries citing papers authored by Jin hwan Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jin hwan Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin hwan Yoon. 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 Jin hwan Yoon. The network helps show where Jin hwan Yoon may publish in the future.

Co-authorship network of co-authors of Jin hwan Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jin hwan Yoon. A scholar is included among the top collaborators of Jin hwan Yoon 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 Jin hwan Yoon. Jin hwan Yoon 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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