Yazmín Rivera

446 total citations
29 papers, 229 citations indexed

About

Yazmín Rivera is a scholar working on Plant Science, Cell Biology and Insect Science. According to data from OpenAlex, Yazmín Rivera has authored 29 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 9 papers in Cell Biology and 7 papers in Insect Science. Recurrent topics in Yazmín Rivera's work include Plant Virus Research Studies (11 papers), Plant Pathogens and Fungal Diseases (9 papers) and Plant Pathogenic Bacteria Studies (8 papers). Yazmín Rivera is often cited by papers focused on Plant Virus Research Studies (11 papers), Plant Pathogens and Fungal Diseases (9 papers) and Plant Pathogenic Bacteria Studies (8 papers). Yazmín Rivera collaborates with scholars based in United States, Colombia and Poland. Yazmín Rivera's co-authors include Catalina Salgado‐Salazar, Jo Anne Crouch, Schyler O. Nunziata, Daniel Veltri, Martha Malapi‐Wight, Kai‐Shu Ling, Mark K. Nakhla, Annette M. Kretzer, T. J. Gulya and Bidisha Chanda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Phytopathology.

In The Last Decade

Yazmín Rivera

25 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yazmín Rivera United States 11 213 105 64 39 28 29 229
Márk Z. Németh Hungary 11 210 1.0× 131 1.2× 61 1.0× 15 0.4× 32 1.1× 33 242
A. Daly Australia 10 302 1.4× 196 1.9× 82 1.3× 29 0.7× 13 0.5× 27 333
Shirin Seifbarghi Canada 5 349 1.6× 134 1.3× 87 1.4× 37 0.9× 39 1.4× 6 380
P. Lepoint United States 9 265 1.2× 50 0.5× 48 0.8× 33 0.8× 12 0.4× 14 282
Mårten Lind Sweden 9 198 0.9× 101 1.0× 62 1.0× 26 0.7× 28 1.0× 11 239
F. H. Sanders United States 9 338 1.6× 110 1.0× 45 0.7× 49 1.3× 14 0.5× 16 373
Alison C. Testa Australia 7 231 1.1× 118 1.1× 131 2.0× 12 0.3× 38 1.4× 8 319
Jasper R. L. Depotter Germany 11 366 1.7× 171 1.6× 148 2.3× 18 0.5× 18 0.6× 19 402
Marie‐Claire Kerlan France 8 356 1.7× 32 0.3× 77 1.2× 22 0.6× 17 0.6× 19 370
Santiago Schaerer Switzerland 10 233 1.1× 49 0.5× 47 0.7× 76 1.9× 21 0.8× 25 244

Countries citing papers authored by Yazmín Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Yazmín Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazmín Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Yazmín Rivera. A scholar is included among the top collaborators of Yazmín Rivera 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 Yazmín Rivera. Yazmín Rivera 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.
Martin, Frank N., Özgur Batuman, Douglas G. Luster, et al.. (2025). How Controls Improve Diagnostic Assay Performance: Hitchhiker's Guide to Diagnostic Assay Controls. PhytoFrontiers™. 5(2). 127–137.
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Newberry, Eric A., et al.. (2025). Amplification-free detection of plant pathogens by improved CRISPR-Cas12a systems: a case study on phytoplasma. Frontiers in Plant Science. 16. 1544513–1544513. 1 indexed citations
5.
Yasuhara‐Bell, Jarred, Vessela Mavrodieva, & Yazmín Rivera. (2024). Genome-Informed Real-Time Polymerase Chain Reaction for Detection of Erwinia pyrifoliae , the Causal Agent of Asian Pear Blight. SHILAP Revista de lepidopterología. 5(2). 174–186.
6.
Fonseca, Jose Pedro, Schyler O. Nunziata, Jarred Yasuhara‐Bell, et al.. (2024). A Draft Genome Resource for ‘Candidatus Phytoplasma prunorum’, the Agent Associated with European Stone Fruit Yellows Disease. SHILAP Revista de lepidopterología. 5(3). 491–493.
7.
Padmanabhan, Chellappan, Schyler O. Nunziata, Yazmín Rivera, et al.. (2023). High-throughput sequencing application in the detection and discovery of viruses associated with the regulated citrus leprosis disease complex. Frontiers in Plant Science. 13. 1058847–1058847. 4 indexed citations
8.
Newberry, Eric A., et al.. (2023). Evaluation of Metabarcoding Methods for Plant Disease Surveillance. SHILAP Revista de lepidopterología. 3(4). 785–794. 4 indexed citations
9.
Salgado‐Salazar, Catalina, Megan K. Romberg, C. L. Blomquist, et al.. (2022). Lifestyle, mating type and mitochondrial genome features of the plant pathogen Calonectria hawksworthii (Hypocreales, Nectriaceae) as revealed by genome analyses. Canadian Journal of Plant Pathology. 44(5). 723–736. 2 indexed citations
10.
Cai, Weili, Schyler O. Nunziata, Subodh Srivastava, et al.. (2022). Draft Genome Sequence Resource of AldY-WA1, a Phytoplasma Strain Associated with Alder Yellows of Alnus rubra in Washington, U.S.A.. Plant Disease. 106(7). 1971–1973. 5 indexed citations
11.
Nunziata, Schyler O., et al.. (2020). Comparison of Nanopore Sequencing Protocols and Real-Time Analysis for Phytopathogen Diagnostics. Plant Health Progress. 22(1). 31–36. 14 indexed citations
12.
Malapi‐Wight, Martha, Daniel Veltri, Kurt Heungens, et al.. (2019). Global distribution of mating types shows limited opportunities for mating across populations of fungi causing boxwood blight disease. Fungal Genetics and Biology. 131. 103246–103246. 16 indexed citations
13.
Salgado‐Salazar, Catalina, et al.. (2018). Genetic Variation of the Pathogen Causing Impatiens Downy Mildew Predating and Including Twenty-first Century Epidemics on Impatiens walleriana. Plant Disease. 102(12). 2411–2420. 12 indexed citations
14.
Rivera, Yazmín, Catalina Salgado‐Salazar, Daniel Veltri, Martha Malapi‐Wight, & Jo Anne Crouch. (2018). Genome analysis of the ubiquitous boxwood pathogenPseudonectria foliicola. PeerJ. 6. e5401–e5401. 17 indexed citations
15.
Rivera, Yazmín, Kurt A. Zeller, Subodh Srivastava, et al.. (2018). Draft Genome Resources for the Phytopathogenic Fungi Monilinia fructicola, M. fructigena, M. polystroma, and M. laxa, the Causal Agents of Brown Rot. Phytopathology. 108(10). 1141–1142. 19 indexed citations
16.
Rivera, Yazmín, Catalina Salgado‐Salazar, T. J. Gulya, & Jo Anne Crouch. (2016). Newly Emerged Populations of Plasmopara halstedii Infecting Rudbeckia Exhibit Unique Genotypic Profiles and Are Distinct from Sunflower-Infecting Strains. Phytopathology. 106(7). 752–761. 21 indexed citations
17.
Salgado‐Salazar, Catalina, Yazmín Rivera, Daniel Veltri, & Jo Anne Crouch. (2015). Polymorphic SSR markers for Plasmopara obducens (Peronosporaceae), the newly emergent downy mildew pathogen of Impatiens (Balsaminaceae). Applications in Plant Sciences. 3(11). 5 indexed citations
18.
Rivera, Yazmín, et al.. (2015). Downy Mildew on Coleus (Plectranthus scutellarioides) Caused by Peronospora belbahrii sensu lato in Tennessee. Plant Disease. 100(3). 655–655. 10 indexed citations
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Rivera, Yazmín, et al.. (2011). Analysis of genet size and local gene flow in the ectomycorrhizal basidiomycete Suillus spraguei (synonym S. pictus). Mycologia. 103(4). 722–730. 12 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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