Guiping Yan

1.6k total citations
70 papers, 1.2k citations indexed

About

Guiping Yan is a scholar working on Plant Science, Insect Science and Ecology. According to data from OpenAlex, Guiping Yan has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 24 papers in Insect Science and 7 papers in Ecology. Recurrent topics in Guiping Yan's work include Nematode management and characterization studies (60 papers), Legume Nitrogen Fixing Symbiosis (25 papers) and Entomopathogenic Microorganisms in Pest Control (24 papers). Guiping Yan is often cited by papers focused on Nematode management and characterization studies (60 papers), Legume Nitrogen Fixing Symbiosis (25 papers) and Entomopathogenic Microorganisms in Pest Control (24 papers). Guiping Yan collaborates with scholars based in United States, United Kingdom and Ireland. Guiping Yan's co-authors include Richard W. Smiley, Xianming Chen, Patricia A. Okubara, Andrea M. Skantar, C. Wellings, R. F. Line, Danqiong Huang, Zafar A. Handoo, Jennifer A. Gourlie and Jun Sun and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Guiping Yan

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiping Yan United States 19 1.1k 268 164 129 106 70 1.2k
E. Riga United States 17 700 0.6× 194 0.7× 90 0.5× 72 0.6× 68 0.6× 48 777
Solveig Haukeland Kenya 14 567 0.5× 319 1.2× 104 0.6× 143 1.1× 30 0.3× 50 752
Andrea M. Skantar United States 21 1.1k 0.9× 336 1.3× 94 0.6× 259 2.0× 28 0.3× 63 1.2k
R. D. Riggs United States 18 1.3k 1.1× 214 0.8× 55 0.3× 80 0.6× 59 0.6× 85 1.3k
Tesfamariam Mekete United States 15 576 0.5× 212 0.8× 55 0.3× 101 0.8× 50 0.5× 41 662
R. N. Huettel United States 14 634 0.6× 164 0.6× 228 1.4× 79 0.6× 68 0.6× 41 765
J. D. Eisenback United States 16 924 0.8× 195 0.7× 79 0.5× 117 0.9× 32 0.3× 86 991
A. F. Robinson United States 20 1.2k 1.0× 472 1.8× 104 0.6× 56 0.4× 101 1.0× 57 1.2k
R. N. Inserra United States 19 1.1k 1.0× 347 1.3× 43 0.3× 346 2.7× 35 0.3× 126 1.2k
A. E. Muldoon United States 15 450 0.4× 321 1.2× 54 0.3× 65 0.5× 14 0.1× 22 519

Countries citing papers authored by Guiping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Guiping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Guiping Yan. A scholar is included among the top collaborators of Guiping Yan 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 Guiping Yan. Guiping Yan 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.
Yan, Guiping, et al.. (2024). Copy number variations at the Rhg1 locus and their relationship with resistance to soybean cyst nematode (Heterodera glycines). Frontiers in Plant Science. 15. 1504932–1504932. 2 indexed citations
2.
Yan, Guiping, et al.. (2024). Assessment of Common Factors Associated with Droplet Digital PCR (ddPCR) Quantification of Paratrichodorus allius in Soil. International Journal of Molecular Sciences. 25(6). 3104–3104. 2 indexed citations
3.
Arora, Deepika, Alvaro G. Hernandez, Kimberly K. O. Walden, Christopher J. Fields, & Guiping Yan. (2023). First Draft Genome Assembly of Root-Lesion Nematode Pratylenchus scribneri Generated Using Long-Read Sequencing. International Journal of Molecular Sciences. 24(8). 7311–7311. 5 indexed citations
4.
Yan, Guiping, et al.. (2023). Development of a Droplet Digital PCR Assay for Detection and Quantification of Stubby Root Nematode, Paratrichodorus allius, in Soil. Plant Disease. 107(11). 3344–3353. 2 indexed citations
5.
6.
Yan, Guiping, et al.. (2021). Characterization of Virulence Phenotypes of Soybean Cyst Nematode (Heterodera glycines) Populations in North Dakota. Phytopathology. 111(11). 2100–2109. 12 indexed citations
7.
Arora, Deepika, et al.. (2020). Developing a real-time PCR assay for direct detection and quantification of Pratylenchus scribneri in field soil. Nematology. 22(7). 733–744. 5 indexed citations
8.
Yan, Guiping, et al.. (2020). Effects of Cover Crops on Population Reduction of Soybean Cyst Nematode (Heterodera glycines). Plant Disease. 105(4). 764–769. 12 indexed citations
9.
Huang, Danqiong, Guiping Yan, Neil C. Gudmestad, et al.. (2018). Developing a One-Step Multiplex PCR Assay for Rapid Detection of Four Stubby-Root Nematode Species, Paratrichodorus allius, P. minor, P. porosus, and Trichodorus obtusus. Plant Disease. 103(3). 404–410. 8 indexed citations
10.
Huang, Danqiong, Guiping Yan, Neil C. Gudmestad, et al.. (2018). Molecular Characterization and Identification of Stubby Root Nematode Species From Multiple States in the United States. Plant Disease. 102(11). 2101–2111. 8 indexed citations
11.
Yan, Guiping, et al.. (2017). Abstracts of Presentations at the 2017 North Central Division Meeting. Phytopathology. 107(12S). S5.165–S5.179. 1 indexed citations
12.
Yan, Guiping, et al.. (2016). Abstracts of Presentations at the 2016 Soybean Cyst Nematode Conference. Phytopathology. 107(1S). S1.1–S1.9. 1 indexed citations
13.
Smiley, Richard W., Juliet M. Marshall, & Guiping Yan. (2011). Effect of Foliarly Applied Spirotetramat on Reproduction of Heterodera avenae on Wheat Roots. Plant Disease. 95(8). 983–989. 34 indexed citations
14.
Yan, Guiping, Richard W. Smiley, & Patricia A. Okubara. (2011). Detection and Quantification ofPratylenchus thorneiin DNA Extracted from Soil Using Real-Time PCR. Phytopathology. 102(1). 14–22. 62 indexed citations
15.
Yan, Guiping & Richard W. Smiley. (2010). Distinguishing Heterodera filipjevi and H. avenae Using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism and Cyst Morphology. Phytopathology. 100(3). 216–224. 40 indexed citations
16.
Zhang, Ling, Lawrence A. Lavery, Upinder Gill, et al.. (2008). A cation/proton-exchanging protein is a candidate for the barley NecS1 gene controlling necrosis and enhanced defense response to stem rust. Theoretical and Applied Genetics. 118(2). 385–397. 25 indexed citations
17.
Yan, Guiping, Richard W. Smiley, Patricia A. Okubara, et al.. (2008). Detection and Discrimination of Pratylenchus neglectus and P. thornei in DNA Extracts from Soil. Plant Disease. 92(11). 1480–1487. 61 indexed citations
18.
19.
Yan, Guiping & Xianming Chen. (2006). Molecular mapping of a recessive gene for resistance to stripe rust in barley. Theoretical and Applied Genetics. 113(3). 529–537. 24 indexed citations
20.
Yan, Guiping, et al.. (2003). Resistance gene-analog polymorphism markers co-segregating with the YR5 gene for resistance to wheat stripe rust. Theoretical and Applied Genetics. 106(4). 636–643. 115 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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