Wengui Yan

2.6k total citations
40 papers, 1.9k citations indexed

About

Wengui Yan is a scholar working on Plant Science, Genetics and Pollution. According to data from OpenAlex, Wengui Yan has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 17 papers in Genetics and 8 papers in Pollution. Recurrent topics in Wengui Yan's work include Rice Cultivation and Yield Improvement (18 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and GABA and Rice Research (11 papers). Wengui Yan is often cited by papers focused on Rice Cultivation and Yield Improvement (18 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and GABA and Rice Research (11 papers). Wengui Yan collaborates with scholars based in United States, China and Japan. Wengui Yan's co-authors include Anna M. McClung, Aaron K. Jackson, Hesham A. Agrama, Christopher W. Deren, Steven A. Brooks, Robert G. Fjellstrom, Richard H. Loeppert, Terry J. Gentry, Melissa H. Jia and R. H. Dilday and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Wengui Yan

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wengui Yan United States 25 1.3k 697 376 363 205 40 1.9k
Muhammad Arshad Pakistan 18 1.6k 1.2× 260 0.4× 49 0.1× 135 0.4× 373 1.8× 60 2.3k
F. R. Clarke Canada 29 2.2k 1.7× 546 0.8× 133 0.4× 131 0.4× 215 1.0× 92 2.4k
Tao Guo China 27 1.4k 1.1× 342 0.5× 84 0.2× 108 0.3× 475 2.3× 101 1.9k
David R. Gealy United States 30 2.3k 1.8× 456 0.7× 43 0.1× 277 0.8× 359 1.8× 98 2.5k
Francesco Vidotto Italy 23 965 0.7× 66 0.1× 80 0.2× 356 1.0× 140 0.7× 115 1.4k
Naoki Hirotsu Japan 22 1.9k 1.5× 539 0.8× 35 0.1× 112 0.3× 412 2.0× 45 2.2k
Douglas A. Forno Australia 9 2.5k 1.9× 200 0.3× 89 0.2× 131 0.4× 452 2.2× 14 2.9k
J. N. Rutger United States 26 2.1k 1.6× 683 1.0× 65 0.2× 66 0.2× 422 2.1× 104 2.3k
M. R. Fernandez Canada 29 2.1k 1.6× 112 0.2× 207 0.6× 97 0.3× 127 0.6× 133 2.4k
J. G. Menzies Canada 27 3.9k 3.0× 99 0.1× 272 0.7× 82 0.2× 285 1.4× 98 4.1k

Countries citing papers authored by Wengui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Wengui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wengui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Wengui Yan. A scholar is included among the top collaborators of Wengui 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 Wengui Yan. Wengui 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.
Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2016). Genetic analysis of genetic basis of a physiological disorder “straighthead” in rice (Oryza sativa L.). Genes & Genomics. 38(5). 453–457. 5 indexed citations
2.
Wang, Jianmin, Joel G. Burken, Honglan Shi, et al.. (2015). Reducing arsenic accumulation in rice grain through iron oxide amendment. Ecotoxicology and Environmental Safety. 118. 55–61. 47 indexed citations
3.
Hu, Biaolin, et al.. (2013). Phenotypic Characterization and Genetic Analysis of Rice with Pubescent Leaves and Glabrous Hulls (PLgh). Crop Science. 53(5). 1878–1886. 10 indexed citations
4.
Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2012). Unraveling the Complex Trait of Harvest Index with Association Mapping in Rice (Oryza sativa L.). PLoS ONE. 7(1). e29350–e29350. 78 indexed citations
5.
Hua, Bin, Wengui Yan, & John Yang. (2012). Response of rice genotype to straighthead disease as influenced by arsenic level and water management practices in soil. The Science of The Total Environment. 442. 432–436. 16 indexed citations
6.
Yang, Ruifang, et al.. (2012). A Putative Gene sbe3-rs for Resistant Starch Mutated from SBE3 for Starch Branching Enzyme in Rice (Oryza sativa L.). PLoS ONE. 7(8). e43026–e43026. 49 indexed citations
7.
Pan, Xuhao, Qijun Zhang, Wengui Yan, et al.. (2012). Development of Genetic Markers Linked to Straighthead Resistance through Fine Mapping in Rice (Oryza sativa L.). PLoS ONE. 7(12). e52540–e52540. 7 indexed citations
8.
Jia, Limeng, Wengui Yan, Chengsong Zhu, et al.. (2012). Allelic Analysis of Sheath Blight Resistance with Association Mapping in Rice. PLoS ONE. 7(3). e32703–e32703. 90 indexed citations
9.
Hu, Biaolin, et al.. (2012). Analysis on Genetic Diversity of Phenotypic Traits in Rice (Oryza sativa) Core Collection and Its Comprehensive Assessment. ACTA AGRONOMICA SINICA. 38(5). 829–839. 6 indexed citations
10.
11.
Gealy, David R. & Wengui Yan. (2012). Weed Suppression Potential of ‘Rondo’ and Other Indica Rice Germplasm Lines. Weed Technology. 26(3). 517–524. 30 indexed citations
12.
Hua, Bin, et al.. (2011). Arsenic Accumulation in Rice Grains: Effects of Cultivars and Water Management Practices. Environmental Engineering Science. 28(8). 591–596. 36 indexed citations
13.
Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2011). Mapping QTLs for improving grain yield using the USDA rice mini-core collection. Planta. 234(2). 347–361. 66 indexed citations
14.
Agrama, Hesham A., Wengui Yan, Melissa H. Jia, Robert G. Fjellstrom, & Anna M. McClung. (2010). Genetic structure associated with diversity and geographic distribution in the USDA rice world collection. Natural Science. 2(4). 247–291. 56 indexed citations
15.
Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2010). Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection. Genetica. 138(11-12). 1221–1230. 75 indexed citations
16.
Agrama, Hesham A., Wengui Yan, Robert G. Fjellstrom, et al.. (2009). Genetic Assessment of a Mini‐Core Subset Developed from the USDA Rice Genebank. Crop Science. 49(4). 1336–1346. 128 indexed citations
17.
Brooks, Steven A., Wengui Yan, Aaron K. Jackson, & Christopher W. Deren. (2008). A natural mutation in rc reverts white-rice-pericarp to red and results in a new, dominant, wild-type allele: Rc-g. Theoretical and Applied Genetics. 117(4). 575–580. 252 indexed citations
18.
Yan, Wengui, Hesham A. Agrama, Nathan A. Slaton, & J.W. Gibbons. (2008). Soil and Plant Minerals Associated with Rice Straighthead Disorder Induced by Arsenic. Agronomy Journal. 100(6). 1655–1661. 23 indexed citations
19.
Yan, Wengui, J. N. Rutger, R.J. Bryant, et al.. (2007). Development and Evaluation of a Core Subset of the USDA Rice Germplasm Collection. Crop Science. 47(2). 869–876. 93 indexed citations
20.
Gealy, David R., Wengui Yan, & J. N. Rutger. (2006). Red Rice (Oryza sativa) Plant Types Affect Growth, Coloration, and Flowering Characteristics of First- and Second-Generation Crosses with Rice. Weed Technology. 20(4). 839–852. 25 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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