Koeun Han

1.6k total citations
40 papers, 819 citations indexed

About

Koeun Han is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Koeun Han has authored 40 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 14 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Koeun Han's work include Genetic and Environmental Crop Studies (8 papers), Plant Virus Research Studies (8 papers) and Ion Channels and Receptors (7 papers). Koeun Han is often cited by papers focused on Genetic and Environmental Crop Studies (8 papers), Plant Virus Research Studies (8 papers) and Ion Channels and Receptors (7 papers). Koeun Han collaborates with scholars based in South Korea, United States and China. Koeun Han's co-authors include Byoung‐Cheorl Kang, Jin‐Kyung Kwon, Joung‐Ho Lee, Siyoung Jang, Muhammad Irfan Siddique, Na‐Young Ro, Hee-Jin Jeong, Do‐Sun Kim, Jinkwan Jo and On‐Sook Hur and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Koeun Han

39 papers receiving 792 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koeun Han South Korea 16 646 262 151 113 76 40 819
Na‐Young Ro South Korea 14 520 0.8× 159 0.6× 123 0.8× 45 0.4× 49 0.6× 44 634
Yelena Borovsky Israel 21 1.1k 1.6× 677 2.6× 229 1.5× 156 1.4× 189 2.5× 27 1.3k
Bahattin Tanyolaç Türkiye 17 870 1.3× 333 1.3× 239 1.6× 19 0.2× 64 0.8× 64 1.1k
Bihao Cao China 24 1.1k 1.7× 1.0k 4.0× 56 0.4× 66 0.6× 195 2.6× 81 1.5k
Nancy T. Eannetta United States 12 827 1.3× 554 2.1× 139 0.9× 21 0.2× 98 1.3× 13 1.1k
Sushil Satish Chhapekar India 13 389 0.6× 209 0.8× 26 0.2× 48 0.4× 39 0.5× 27 490
Shin-Woo Lee South Korea 14 594 0.9× 566 2.2× 28 0.2× 26 0.2× 191 2.5× 42 886
Nicolás M. Cecchini Argentina 14 990 1.5× 401 1.5× 39 0.3× 40 0.4× 10 0.1× 22 1.1k
Sebastin Raveendar South Korea 13 333 0.5× 231 0.9× 114 0.8× 15 0.1× 14 0.2× 51 483
Aldo Almeida Denmark 10 203 0.3× 274 1.0× 42 0.3× 31 0.3× 18 0.2× 20 432

Countries citing papers authored by Koeun Han

Since Specialization
Citations

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

Fields of papers citing papers by Koeun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koeun Han. 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 Koeun Han. The network helps show where Koeun Han may publish in the future.

Co-authorship network of co-authors of Koeun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Koeun Han. A scholar is included among the top collaborators of Koeun Han 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 Koeun Han. Koeun Han 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
1.
Kim, Jung-Min, Joung‐Ho Lee, Koeun Han, et al.. (2024). Genetic characterization of a locus responsible for low pungency using EMS-induced mutants in Capsicum annuum L.. Theoretical and Applied Genetics. 137(5). 101–101. 2 indexed citations
2.
3.
Jo, Jinkwan, Siyoung Jang, Young‐In Kim, et al.. (2023). Exploring horticultural traits and disease resistance in Capsicum baccatum through segmental introgression lines. Theoretical and Applied Genetics. 136(11). 233–233. 2 indexed citations
4.
Ko, Ki Seong, Hye‐Eun Lee, Koeun Han, et al.. (2023). CRISPR/Cas9-Mediated HY5 Gene Editing Reduces Growth Inhibition in Chinese Cabbage (Brassica rapa) under ER Stress. International Journal of Molecular Sciences. 24(17). 13105–13105. 4 indexed citations
5.
Kim, Young‐In, Geon‐Woo Kim, Koeun Han, et al.. (2022). Identification of Genetic Factors Controlling the Formation of Multiple Flowers Per Node in Pepper (Capsicum spp.). Frontiers in Plant Science. 13. 884338–884338.
6.
Jang, Siyoung, Geon‐Woo Kim, Koeun Han, et al.. (2022). Investigation of genetic factors regulating chlorophyll and carotenoid biosynthesis in red pepper fruit. Frontiers in Plant Science. 13. 922963–922963. 15 indexed citations
7.
Jang, Siyoung, et al.. (2022). Genetic mapping revealed that the Pun2 gene in Capsicum chacoense encodes a putative aminotransferase. Frontiers in Plant Science. 13. 1039393–1039393. 3 indexed citations
8.
Manivannan, Abinaya, Koeun Han, Hye‐Eun Lee, et al.. (2021). Genome-Wide Analysis of MYB10 Transcription Factor in Fragaria and Identification of QTLs Associated with Fruit Color in Octoploid Strawberry. International Journal of Molecular Sciences. 22(22). 12587–12587. 8 indexed citations
9.
10.
Manivannan, Abinaya, et al.. (2020). Versatile Nutraceutical Potentials of Watermelon—A Modest Fruit Loaded with Pharmaceutically Valuable Phytochemicals. Molecules. 25(22). 5258–5258. 55 indexed citations
11.
Han, Koeun, et al.. (2019). A MYB transcription factor is a candidate to control pungency in Capsicum annuum. Theoretical and Applied Genetics. 132(4). 1235–1246. 49 indexed citations
12.
Abate, Solomon, Koeun Han, Joung‐Ho Lee, et al.. (2019). Genetic diversity and population structure of Ethiopian Capsicum germplasms. PLoS ONE. 14(5). e0216886–e0216886. 23 indexed citations
13.
Park, Minjeong, Joung‐Ho Lee, Koeun Han, et al.. (2018). A major QTL and candidate genes for capsaicinoid biosynthesis in the pericarp of Capsicum chinense revealed using QTL-seq and RNA-seq. Theoretical and Applied Genetics. 132(2). 515–529. 43 indexed citations
14.
Jo, Jinkwan, et al.. (2017). Development of a Genetic Map for Onion (Allium cepa L.) Using Reference-Free Genotyping-by-Sequencing and SNP Assays. Frontiers in Plant Science. 8. 1606–1606. 38 indexed citations
15.
Jo, Jinkwan, Jelli Venkatesh, Koeun Han, et al.. (2017). Molecular Mapping of PMR1, a Novel Locus Conferring Resistance to Powdery Mildew in Pepper (Capsicum annuum). Frontiers in Plant Science. 8. 2090–2090. 14 indexed citations
16.
Dong, Panpan, Koeun Han, Muhammad Irfan Siddique, et al.. (2016). Gene-Based Markers for the Tomato Yellow Leaf Curl Virus Resistance GeneTy-3. Plant Breeding and Biotechnology. 4(1). 79–86. 10 indexed citations
17.
Han, Koeun, Hee-Jin Jeong, Hee‐Bum Yang, et al.. (2016). An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum). DNA Research. 23(2). 81–91. 90 indexed citations
18.
Han, Koeun, et al.. (2016). Gene-Based Markers for the Tomato Yellow Leaf Curl Virus Resistance Gene Ty-3. Plant Breeding and Biotechnology. 4(1). 79–86. 9 indexed citations
19.
Han, Koeun, et al.. (2014). Prediction of disease-related microRNAs by incorporating functional similarity and common association information. Genetics and Molecular Research. 13(1). 2009–2019. 14 indexed citations
20.
Han, Koeun, et al.. (1988). Determination of Phenolic Compounds Responsible for Allelopathy in Upland Weeds. Korean Journal of Weed Science. 8(3). 258–264. 3 indexed citations

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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