Jae‐Hyuk Yu

15.8k total citations · 4 hit papers
166 papers, 9.5k citations indexed

About

Jae‐Hyuk Yu is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Jae‐Hyuk Yu has authored 166 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 75 papers in Plant Science and 70 papers in Pharmacology. Recurrent topics in Jae‐Hyuk Yu's work include Fungal and yeast genetics research (91 papers), Mycotoxins in Agriculture and Food (58 papers) and Fungal Biology and Applications (47 papers). Jae‐Hyuk Yu is often cited by papers focused on Fungal and yeast genetics research (91 papers), Mycotoxins in Agriculture and Food (58 papers) and Fungal Biology and Applications (47 papers). Jae‐Hyuk Yu collaborates with scholars based in United States, South Korea and China. Jae‐Hyuk Yu's co-authors include Ahmad F. Alshannaq, Hee-Soo Park, Nancy P. Keller, Thomas H. Adams, Min Ni, Kap‐Hoon Han, Jeong‐Ah Seo, Kap‐Hoon Han, Jeong-Ah Seo and Nak‐Jung Kwon and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jae‐Hyuk Yu

164 papers receiving 9.4k citations

Hit Papers

Double-joint PCR: a PCR-based molecular tool for gene man... 1998 2026 2007 2016 2004 2017 2008 1998 250 500 750

Peers

Jae‐Hyuk Yu
Comparison fields: 5 of 125
  • Molecular Biology 5.8k
  • Plant Science 5.5k
  • Pharmacology 3.3k
  • Cell Biology 1.7k
  • Infectious Diseases 841
Replace Arthur F. J. Ram with:
Arthur F. J. Ram Netherlands
Ana M. Calvo United States
Cees A. M. J. J. van den Hondel Netherlands
Kirstin Scherlach Germany
Bettina Tudzynski Germany
Jeffrey W. Cary United States
John E. Linz United States
Giancarlo Perrone Italy
Gary A. Payne United States
Katsuhiko Kitamoto Japan
Arthur F. J. Ram Netherlands View profile →
Citations per field, relative to Jae‐Hyuk Yu
Jae‐Hyuk Yu · 1×
Citations per year, relative to Jae‐Hyuk Yu
Jae‐Hyuk Yu · 1×

Countries citing papers authored by Jae‐Hyuk Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hyuk Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Hyuk Yu. 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 Jae‐Hyuk Yu. The network helps show where Jae‐Hyuk Yu may publish in the future.

Co-authorship network of co-authors of Jae‐Hyuk Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Hyuk Yu. A scholar is included among the top collaborators of Jae‐Hyuk Yu 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 Jae‐Hyuk Yu. Jae‐Hyuk Yu 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
# Work Indexed citations
1 1
2 1
3 4
4 4
5 4
6 9
7 2
8 2
9 36
10 16
11 15
12 11
13 60
14 27
15 17
16 130
17
VelB/VeA/LaeA Complex Coordinates Light Signal with Fungal Development and Secondary Metabolism breakdown →
698
18 110
19 89
20 62

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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