Yeonyee Oh

3.1k total citations
25 papers, 982 citations indexed

About

Yeonyee Oh is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Yeonyee Oh has authored 25 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Yeonyee Oh's work include Plant-Microbe Interactions and Immunity (13 papers), Fungal and yeast genetics research (10 papers) and Plant Pathogens and Fungal Diseases (6 papers). Yeonyee Oh is often cited by papers focused on Plant-Microbe Interactions and Immunity (13 papers), Fungal and yeast genetics research (10 papers) and Plant Pathogens and Fungal Diseases (6 papers). Yeonyee Oh collaborates with scholars based in United States, China and India. Yeonyee Oh's co-authors include Ralph A. Dean, Dilip R. Panthee, Pragya Adhikari, Thomas K. Mitchell, Douglas Brown, Sean Coughlan, Huaqin Pan, David C. Muddiman, William L. Franck and Mengying Wang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Yeonyee Oh

25 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeonyee Oh United States 16 760 441 311 101 94 25 982
Xiushi Song China 14 822 1.1× 374 0.8× 303 1.0× 68 0.7× 120 1.3× 27 1.0k
Jessie Fernandez United States 15 648 0.9× 528 1.2× 260 0.8× 141 1.4× 28 0.3× 25 894
Mathias Choquer France 15 1.0k 1.3× 578 1.3× 450 1.4× 234 2.3× 266 2.8× 24 1.3k
Guanghui Wang China 12 567 0.7× 391 0.9× 322 1.0× 101 1.0× 37 0.4× 26 720
Ariane Kemen Germany 11 755 1.0× 434 1.0× 213 0.7× 52 0.5× 35 0.4× 14 971
Guozhen Zhang China 13 393 0.5× 187 0.4× 276 0.9× 150 1.5× 52 0.6× 35 586
Claire Campion France 15 606 0.8× 281 0.6× 136 0.4× 34 0.3× 76 0.8× 25 717
Runmao Lin China 18 752 1.0× 581 1.3× 103 0.3× 90 0.9× 38 0.4× 52 1.0k
Sally A. Leong United States 21 1.1k 1.4× 647 1.5× 368 1.2× 154 1.5× 60 0.6× 30 1.4k

Countries citing papers authored by Yeonyee Oh

Since Specialization
Citations

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

Fields of papers citing papers by Yeonyee Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonyee Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Yeonyee Oh. A scholar is included among the top collaborators of Yeonyee Oh 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 Yeonyee Oh. Yeonyee Oh 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.
Oh, Yeonyee, et al.. (2023). Tissues and mechanisms associated with Verticillium wilt resistance in tomato using bi-grafted near-isogenic lines. Journal of Experimental Botany. 74(15). 4685–4706. 4 indexed citations
2.
Şennik, Erdem, et al.. (2023). Plant Disease Detection Using an Electronic Nose. 1–4. 4 indexed citations
3.
Oh, Yeonyee, et al.. (2021). Soybean Cyst Nematodes Influence Aboveground Plant Volatile Signals Prior to Symptom Development. Frontiers in Plant Science. 12. 749014–749014. 5 indexed citations
4.
Oh, Yeonyee, et al.. (2020). Comparative Proteomic Analysis of Wild Type and Mutant Lacking an SCF E3 Ligase F-Box Protein in Magnaporthe oryzae. Journal of Proteome Research. 19(9). 3761–3768. 1 indexed citations
5.
Wang, Mengying, et al.. (2020). Dynamic Changes in the Microbiome of Rice During Shoot and Root Growth Derived From Seeds. Frontiers in Microbiology. 11. 559728–559728. 37 indexed citations
6.
Oh, Yeonyee, et al.. (2020). Comparative Genome Analyses of 18 Verticillium dahliae Tomato Isolates Reveals Phylogenetic and Race Specific Signatures. Frontiers in Microbiology. 11. 573755–573755. 15 indexed citations
7.
Wang, Mengying, et al.. (2019). Identification and Characterization of the Core Rice Seed Microbiome. Phytobiomes Journal. 3(2). 148–157. 76 indexed citations
9.
Oh, Yeonyee, William L. Franck, & Ralph A. Dean. (2018). Sequential Phosphopeptide Enrichment for Phosphoproteome Analysis of Filamentous Fungi: A Test Case Using Magnaporthe oryzae. Methods in molecular biology. 1848. 81–91. 1 indexed citations
10.
Adhikari, Pragya, Yeonyee Oh, & Dilip R. Panthee. (2017). Current Status of Early Blight Resistance in Tomato: An Update. International Journal of Molecular Sciences. 18(10). 2019–2019. 151 indexed citations
11.
Oh, Yeonyee, Mihwa Yi, William L. Franck, et al.. (2016). Identification and characterization of suppressors of plant cell death (SPD) effectors from Magnaporthe oryzae. Molecular Plant Pathology. 18(6). 850–863. 37 indexed citations
12.
Franck, William L., et al.. (2015). Phosphoproteome Analysis Links Protein Phosphorylation to Cellular Remodeling and Metabolic Adaptation during Magnaporthe oryzae Appressorium Development. Journal of Proteome Research. 14(6). 2408–2424. 39 indexed citations
13.
Franck, William L., et al.. (2013). Temporal Analysis of the Magnaporthe Oryzae Proteome During Conidial Germination and Cyclic AMP (cAMP)-mediated Appressorium Formation. Molecular & Cellular Proteomics. 12(8). 2249–2265. 36 indexed citations
14.
Oh, Yeonyee, et al.. (2012). Polyubiquitin Is Required for Growth, Development and Pathogenicity in the Rice Blast Fungus Magnaporthe oryzae. PLoS ONE. 7(8). e42868–e42868. 41 indexed citations
15.
Nunes, Cristiano Caixeta, Malali Gowda, Joshua Sailsbery, et al.. (2011). Diverse and tissue-enriched small RNAs in the plant pathogenic fungus, Magnaporthe oryzae. BMC Genomics. 12(1). 288–288. 88 indexed citations
16.
Gowda, Malali, Cristiano Caixeta Nunes, Joshua Sailsbery, et al.. (2010). Genome-wide characterization of methylguanosine-capped and polyadenylated small RNAs in the rice blast fungus Magnaporthe oryzae. Nucleic Acids Research. 38(21). 7558–7569. 16 indexed citations
17.
Kim, Soonok, Jinnan Hu, Yeonyee Oh, et al.. (2010). Combining ChIP-chip and Expression Profiling to Model the MoCRZ1 Mediated Circuit for Ca2+/Calcineurin Signaling in the Rice Blast Fungus. PLoS Pathogens. 6(5). e1000909–e1000909. 58 indexed citations
18.
Meng, Shaowu, Douglas Brown, Daniel J. Ebbole, et al.. (2009). Gene Ontology annotation of the rice blast fungus, Magnaporthe oryzae. BMC Microbiology. 9(S1). S8–S8. 31 indexed citations
19.
Oh, Yeonyee, Nicole Donofrio, Huaqin Pan, et al.. (2008). Transcriptome analysis reveals new insight into appressorium formation and function in the rice blast fungus Magnaporthe oryzae. Genome biology. 9(5). R85–R85. 147 indexed citations
20.
Oh, Yeonyee. (2008). Genome Wide Transcription Studies on Infection Structure Formation and Function in Magnaporthe grisea. NCSU Libraries Repository (North Carolina State University Libraries). 2 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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