Ye-Eun Son

449 citations
27 papers · 311 · h-index 12

Impact in

  • Pharmacology top 10%
    • Fungal Biology and Applications
    • Microbial Natural Products and Biosynthesis
    • Mycotoxins in Agriculture and Food
    • Plant-Microbe Interactions and Immunity

Papers in

    • Fungal and yeast genetics research 21
    • Mycotoxins in Agriculture and Food 14
    • Plant-Microbe Interactions and Immunity 6

Ye-Eun Son

23 papers receiving 309 citations

Peers

Ye-Eun Son
Comparison fields: 5 of 41
  • Pharmacology 105
  • Plant Science 174
  • Cell Biology 57
  • Molecular Biology 218
  • Infectious Diseases 36
Replace Joanne Wong Sak Hoi with:
Joanne Wong Sak Hoi France
Jessica M. Lohmar United States
Tim A. Dahlmann Germany
Cristian F. Quispe United States
Aleksandra Virag United States
Youngsil Ha United States
Henk‐Jan Bussink United States
David Segorbe Spain
Eliecer Dı́ez Spain
Sachin Jain United States
Ye-Eun Son relative to Joanne Wong Sak Hoi France Joanne Wong Sak Hoi's profile →
Citations per field
00.5×5.8×
Joanne Wong Sak Hoi · 1×
Citations per year

Countries citing papers authored by Ye-Eun Son

Since Specialization
Citations

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

Fields of papers citing papers by Ye-Eun Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye-Eun Son. 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 Ye-Eun Son. The network helps show where Ye-Eun Son may publish in the future.

Co-authors

The 25 scholars most cited alongside Ye-Eun Son, 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 Ye-Eun Son Line = papers co-authored together Ye-Eun Son links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2 202139
3 202022
4 202020
5 202018
6 202317
7 202016
8 201916
9 201914
10 201713
11 202012
12 202012
13 20249
14 20198
15 20217
16 20236
17 20236
18 20186
19 20216
20 20194

About Ye-Eun Son

Ye-Eun Son is a scholar working on Molecular Biology, Plant Science, Pharmacology, Cell Biology and Epidemiology, having authored 27 papers that have together received 311 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (21 papers), Mycotoxins in Agriculture and Food (14 papers), Fungal Biology and Applications (9 papers), Plant-Microbe Interactions and Immunity (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Fungal Infections and Studies (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Pharmacology (105 citations), Plant Science (174 citations), Cell Biology (57 citations), Molecular Biology (218 citations) and Infectious Diseases (36 citations). Ye-Eun Son has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hee-Soo Park, Jae‐Hyuk Yu, Mi-Kyung Lee, Wanping Chen, Inhyung Lee, Won Hee Jung, Kap‐Hoon Han, Min-Ju Kim, Sang‐Hun Oh and Dong‐Min Han. Their work appears in journals such as mBio, Scientific Reports, Cells, Current Genetics and G3 Genes Genomes Genetics.

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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