Jae-San Ryu

1k citations
46 papers · 884 · h-index 14

Impact in

    • Fungal Biology and Applications
    • Enzyme-mediated dye degradation
    • Mycorrhizal Fungi and Plant Interactions

Papers in

    • Fungal Biology and Applications 29
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Genetic diversity and population structure 3

Jae-San Ryu

44 papers receiving 864 citations

Peers

Jae-San Ryu
Comparison fields: 5 of 48
  • Pharmacology 261
  • Plant Science 325
  • Cell Biology 88
  • Insect Science 58
  • Biomedical Engineering 193
Replace Tim Y. James with:
Tim Y. James United States
Gúmer Pérez Spain
Bernardo E. Lechner Argentina
Lidia Błaszczyk Poland
Yutaka Kitamoto Japan
Marina Capelari Brazil
Roger Durand France
Dana Friesem Israel
Tamara Vares Finland
Johanna Rytioja Finland
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Citations per field
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Citations per year

Countries citing papers authored by Jae-San Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Jae-San Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-San Ryu. 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-San Ryu. The network helps show where Jae-San Ryu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jae-San Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jae-San Ryu Line = papers co-authored together Jae-San Ryu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012262
2 2016152
3 200759
4 200743
5 201138
6 201537
7 201230
8 201322
9 201422
10 200721
11 200820
12 201620
13 201819
14 201415
15 200711
16 201211
17 202010
18
Screening and identification of an antifungal Pseudomonas sp. that suppresses balloon flower root rot caused by Rhizoctonia solani
20008
19 20118
20 20138

About Jae-San Ryu

Jae-San Ryu is a scholar working on Pharmacology, Genetics, Plant Science, Molecular Biology and Cell Biology, having authored 46 papers that have together received 884 indexed citations. Recurring topics across this work include Fungal Biology and Applications (29 papers), Fungal and yeast genetics research (12 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Pathogens and Fungal Diseases (4 papers), Genetic diversity and population structure (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Enzyme-mediated dye degradation (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Pharmacology (261 citations), Plant Science (325 citations), Cell Biology (88 citations), Insect Science (58 citations) and Biomedical Engineering (193 citations). Jae-San Ryu has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Min-Keun Kim, Kenneth E. Hammel, Hyeon‐Su Ro, Jonathan S. Schilling, Melania Figueroa, Gerald N. Presley, Jon Menke, Jiwei Zhang, Hyun‐Sook Lee and Che Ok Jeon. Their work appears in journals such as Scientia Horticulturae, PLoS ONE, Proceedings of the National Academy of Sciences, Fungal Genetics and Biology and Applied and Environmental Microbiology.

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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