Kap‐Hoon Han

1.7k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

Kap‐Hoon Han is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Kap‐Hoon Han has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Pharmacology. Recurrent topics in Kap‐Hoon Han's work include Fungal and yeast genetics research (6 papers), Fungal Biology and Applications (3 papers) and Protist diversity and phylogeny (2 papers). Kap‐Hoon Han is often cited by papers focused on Fungal and yeast genetics research (6 papers), Fungal Biology and Applications (3 papers) and Protist diversity and phylogeny (2 papers). Kap‐Hoon Han collaborates with scholars based in South Korea, United States and Hungary. Kap‐Hoon Han's co-authors include Jae‐Hyuk Yu, Jeong-Ah Seo, Zsuzsanna Hamari, Yazmid Reyes-Domínguez, Claudio Scazzocchio, Jeong‐Ah Seo, Anne Lafon, Christophe d’Enfert, István Pócsi and Tamás Emri and has published in prestigious journals such as Scientific Reports, Genetics and Molecular Microbiology.

In The Last Decade

Kap‐Hoon Han

11 papers receiving 1.4k citations

Hit Papers

Double-joint PCR: a PCR-based molecular tool for gene man... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kap‐Hoon Han South Korea 9 1.0k 811 414 285 111 11 1.4k
Richard B. Todd Australia 17 884 0.9× 516 0.6× 381 0.9× 188 0.7× 130 1.2× 28 1.2k
Kap‐Hoon Han South Korea 21 1.3k 1.3× 1.2k 1.4× 848 2.0× 460 1.6× 99 0.9× 53 2.0k
Takayuki Motoyama Japan 23 1.0k 1.0× 1.0k 1.3× 477 1.2× 392 1.4× 81 0.7× 60 1.7k
Jeong‐Ah Seo South Korea 22 902 0.9× 1.0k 1.3× 581 1.4× 537 1.9× 61 0.5× 41 1.7k
Birgit Hoff Germany 22 1.0k 1.0× 615 0.8× 520 1.3× 315 1.1× 127 1.1× 25 1.4k
Jakob Blæsbjerg Nielsen Denmark 15 973 1.0× 320 0.4× 637 1.5× 151 0.5× 121 1.1× 17 1.3k
Robert‐Jan Bleichrodt Netherlands 15 450 0.4× 400 0.5× 223 0.5× 164 0.6× 206 1.9× 21 881
Laura Kawasaki Mexico 12 635 0.6× 391 0.5× 243 0.6× 113 0.4× 37 0.3× 23 840
Zhenhong Zhuang China 19 565 0.6× 632 0.8× 208 0.5× 168 0.6× 32 0.3× 36 948
Jörg Kämper Germany 27 2.0k 2.0× 1.9k 2.4× 348 0.8× 718 2.5× 257 2.3× 43 2.9k

Countries citing papers authored by Kap‐Hoon Han

Since Specialization
Citations

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

Fields of papers citing papers by Kap‐Hoon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kap‐Hoon Han

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

All Works

11 of 11 papers shown
1.
Orosz, Erzsébet, Károly Antal, Zoltán Gazdag, et al.. (2017). Transcriptome-Based Modeling Reveals that Oxidative Stress Induces Modulation of the AtfA-Dependent Signaling Networks inAspergillus nidulans. International Journal of Genomics. 2017. 1–14. 18 indexed citations
2.
Leiter, Éva, Nak‐Jung Kwon, Kap‐Hoon Han, et al.. (2016). Characterization of the aodA, dnmA, mnSOD and pimA genes in Aspergillus nidulans. Scientific Reports. 6(1). 20523–20523. 27 indexed citations
3.
Emri, Tamás, Erzsébet Orosz, Károly Antal, et al.. (2015). Core oxidative stress response in Aspergillus nidulans. BMC Genomics. 16(1). 478–478. 41 indexed citations
4.
Han, Kap‐Hoon. (2009). Molecular Genetics ofEmericella nidulansSexual Development. Mycobiology. 37(3). 171–171. 23 indexed citations
5.
Han, Kap‐Hoon, Frederico Marianetti Soriani, Marcela Savoldi, et al.. (2009). The conserved and divergent roles of carbonic anhydrases in the filamentous fungi Aspergillus fumigatus and Aspergillus nidulans. Molecular Microbiology. 76(3). 802–802. 4 indexed citations
6.
Kim, Jong‐Min, Yoonsung Jung, Engin A. Sungur, et al.. (2008). A copula method for modeling directional dependence of genes. BMC Bioinformatics. 9(1). 225–225. 48 indexed citations
7.
Han, Kap‐Hoon, et al.. (2007). Characterization ofFusarium oxysporumIsolated from Paprika in Korea. Mycobiology. 35(2). 91–91. 17 indexed citations
8.
Han, Kap‐Hoon. (2007). Antifungal Activity of Essential Oil from Asarum sieboldii against Epidermal and Opportunistic Pathogenic Fungi. The Korean Journal of Mycology. 35(1). 58–60. 5 indexed citations
9.
Lafon, Anne, Jeong-Ah Seo, Kap‐Hoon Han, Jae‐Hyuk Yu, & Christophe d’Enfert. (2005). The Heterotrimeric G-Protein GanB(α)-SfaD(β)-GpgA(γ) Is a Carbon Source Sensor Involved in Early cAMP-Dependent Germination in Aspergillus nidulans. Genetics. 171(1). 71–80. 110 indexed citations
11.
Yu, Jae‐Hyuk, Zsuzsanna Hamari, Kap‐Hoon Han, et al.. (2004). Double-joint PCR: a PCR-based molecular tool for gene manipulations in filamentous fungi. Fungal Genetics and Biology. 41(11). 973–981. 978 indexed citations breakdown →

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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