Chuntao Yin

3.1k total citations · 1 hit paper
52 papers, 2.2k citations indexed

About

Chuntao Yin is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Chuntao Yin has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 16 papers in Molecular Biology and 10 papers in Pollution. Recurrent topics in Chuntao Yin's work include Plant-Microbe Interactions and Immunity (13 papers), Plant Disease Resistance and Genetics (12 papers) and Wheat and Barley Genetics and Pathology (10 papers). Chuntao Yin is often cited by papers focused on Plant-Microbe Interactions and Immunity (13 papers), Plant Disease Resistance and Genetics (12 papers) and Wheat and Barley Genetics and Pathology (10 papers). Chuntao Yin collaborates with scholars based in United States, China and Pakistan. Chuntao Yin's co-authors include Scot H. Hulbert, Timothy C. Paulitz, Daniel Schlatter, Christina H. Hagerty, James E. Jurgenson, Xianming Chen, Amit Dhingra, Kurtis L. Schroeder, Jinlong Yan and Tianming Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Chuntao Yin

50 papers receiving 2.2k citations

Hit Papers

Rhizosphere community selection reveals bacteria associat... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuntao Yin United States 26 1.5k 551 358 312 285 52 2.2k
Xinlan Mei China 26 1.4k 0.9× 403 0.7× 437 1.2× 310 1.0× 208 0.7× 47 2.2k
Asma Imran Pakistan 30 2.3k 1.6× 542 1.0× 237 0.7× 414 1.3× 583 2.0× 59 3.4k
Émile Benizri France 22 1.3k 0.9× 397 0.7× 579 1.6× 384 1.2× 419 1.5× 61 2.2k
Biao Shen China 27 1.7k 1.1× 641 1.2× 826 2.3× 454 1.5× 394 1.4× 76 2.8k
Mahaveer P. Sharma India 23 1.6k 1.1× 270 0.5× 476 1.3× 148 0.5× 300 1.1× 57 2.3k
Guomin Han China 24 980 0.6× 438 0.8× 246 0.7× 271 0.9× 109 0.4× 57 1.8k
W. Bettiol Brazil 27 1.7k 1.1× 335 0.6× 441 1.2× 140 0.4× 167 0.6× 153 2.4k
Reinaldo Fraga Vidal Cuba 5 2.1k 1.4× 367 0.7× 497 1.4× 243 0.8× 204 0.7× 6 2.7k
Xiaogang Li China 31 1.9k 1.3× 474 0.9× 478 1.3× 344 1.1× 209 0.7× 77 2.6k
Gamini Seneviratne Sri Lanka 22 738 0.5× 304 0.6× 402 1.1× 230 0.7× 203 0.7× 100 1.6k

Countries citing papers authored by Chuntao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Chuntao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuntao Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Chuntao Yin. A scholar is included among the top collaborators of Chuntao Yin 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 Chuntao Yin. Chuntao Yin 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.
Yin, Chuntao, Shannon L. Osborne, & R. Michael Lehman. (2025). Legacy Effects of Cover Crop on Cash Crop Rhizosphere Microbiota in a No-Till Maize–Soybean Cropping System. Phytobiomes Journal. 9(3). 434–447.
2.
Yin, Chuntao, et al.. (2023). Wheat Rhizosphere-Derived Bacteria Protect Soybean from Soilborne Diseases. Plant Disease. 108(6). 1565–1576. 4 indexed citations
3.
Yin, Chuntao, Christina H. Hagerty, & Timothy C. Paulitz. (2022). Synthetic microbial consortia derived from rhizosphere soil protect wheat against a soilborne fungal pathogen. Frontiers in Microbiology. 13. 908981–908981. 38 indexed citations
4.
Hagerty, Christina H., et al.. (2021). Diagnostic Guide: Fusarium Crown Rot of Winter Wheat. Plant Health Progress. 22(2). 176–181. 8 indexed citations
5.
Yin, Chuntao, et al.. (2021). Responses of Soil Fungal Communities to Lime Application in Wheat Fields in the Pacific Northwest. Frontiers in Microbiology. 12. 576763–576763. 14 indexed citations
6.
Yin, Chuntao, et al.. (2021). Rhizosphere community selection reveals bacteria associated with reduced root disease. Microbiome. 9(1). 86–86. 198 indexed citations breakdown →
7.
Yin, Chuntao, et al.. (2020). Population Dynamics of Wheat Root Pathogens Under Different Tillage Systems in Northeast Oregon. Plant Disease. 104(10). 2649–2657. 12 indexed citations
8.
Yin, Chuntao, et al.. (2019). A novel fungal effector from Puccinia graminis suppressing RNA silencing and plant defense responses. New Phytologist. 222(3). 1561–1572. 54 indexed citations
9.
Cui, Liqiang, Chuntao Yin, Tianming Chen, et al.. (2019). Remediation of organic halogen- contaminated wetland soils using biochar. The Science of The Total Environment. 696. 134087–134087. 31 indexed citations
11.
Yin, Chuntao & Scot H. Hulbert. (2018). Host-Induced Gene Silencing (HIGS) for Elucidating Puccinia Gene Function in Wheat. Methods in molecular biology. 1848. 139–150. 15 indexed citations
12.
Schlatter, Daniel, Chuntao Yin, Scot H. Hulbert, Ian C. Burke, & Timothy C. Paulitz. (2017). Impacts of Repeated Glyphosate Use on Wheat-Associated Bacteria Are Small and Depend on Glyphosate Use History. Applied and Environmental Microbiology. 83(22). 55 indexed citations
14.
Schlatter, Daniel, Chuntao Yin, Ian C. Burke, Scot H. Hulbert, & Timothy C. Paulitz. (2017). Location, Root Proximity, and Glyphosate-Use History Modulate the Effects of Glyphosate on Fungal Community Networks of Wheat. Microbial Ecology. 76(1). 240–257. 26 indexed citations
15.
Sharma‐Poudyal, Dipak, Daniel Schlatter, Chuntao Yin, Scot H. Hulbert, & Timothy C. Paulitz. (2017). Long-term no-till: A major driver of fungal communities in dryland wheat cropping systems. PLoS ONE. 12(9). e0184611–e0184611. 63 indexed citations
16.
Chen, YangQuan, Yanqiu Zhang, Jinlong Yan, et al.. (2015). Heterogeneous photodegradation of mesotrione in nano α-Fe2O3/oxalate system under UV light irradiation. RSC Advances. 5(17). 12638–12643. 8 indexed citations
17.
Yin, Chuntao, Scot H. Hulbert, Kurtis L. Schroeder, et al.. (2013). Role of Bacterial Communities in the Natural Suppression of Rhizoctonia solani Bare Patch Disease of Wheat (Triticum aestivum L.). Applied and Environmental Microbiology. 79(23). 7428–7438. 194 indexed citations
18.
Yin, Chuntao, James E. Jurgenson, & Scot H. Hulbert. (2010). Development of a Host-Induced RNAi System in the Wheat Stripe Rust Fungus Puccinia striiformis f. sp. tritici. Molecular Plant-Microbe Interactions. 24(5). 554–561. 151 indexed citations
19.
Yin, Chuntao, Xianming Chen, Xiaojie Wang, et al.. (2009). Generation and analysis of expression sequence tags from haustoria of the wheat stripe rust fungus Puccinia striiformis f. sp. Tritici. BMC Genomics. 10(1). 626–626. 71 indexed citations
20.
Xiao, Yanmei, Lefu Lan, Chuntao Yin, et al.. (2007). Two-Component Sensor RhpS Promotes Induction of Pseudomonas syringae Type III Secretion System by Repressing Negative Regulator RhpR. Molecular Plant-Microbe Interactions. 20(3). 223–234. 41 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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