Chenggen Chu

1.8k total citations
52 papers, 1.2k citations indexed

About

Chenggen Chu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Chenggen Chu has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 14 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Chenggen Chu's work include Wheat and Barley Genetics and Pathology (36 papers), Plant Disease Resistance and Genetics (23 papers) and Genetics and Plant Breeding (15 papers). Chenggen Chu is often cited by papers focused on Wheat and Barley Genetics and Pathology (36 papers), Plant Disease Resistance and Genetics (23 papers) and Genetics and Plant Breeding (15 papers). Chenggen Chu collaborates with scholars based in United States, China and Japan. Chenggen Chu's co-authors include Steven S. Xu, Justin D. Faris, Timothy L. Friesen, Zengjun Qi, Lifang Zhuang, Shuyu Liu, Scott Halley, Shiaoman Chao, Robert S. Zemetra and Pei Du and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Chenggen Chu

47 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
Chenggen Chu United States 20 1.1k 332 156 116 98 52 1.2k
Amidou N’Diaye Canada 21 913 0.8× 486 1.5× 103 0.7× 134 1.2× 98 1.0× 53 991
Jafar Mammadov United States 9 639 0.6× 252 0.8× 239 1.5× 41 0.4× 30 0.3× 13 738
Kerstin Flath Germany 18 1.1k 1.0× 194 0.6× 283 1.8× 139 1.2× 164 1.7× 51 1.2k
Mireille Khairallah Mexico 6 578 0.5× 288 0.9× 78 0.5× 63 0.5× 34 0.3× 8 642
Hans van Os Netherlands 7 596 0.5× 264 0.8× 136 0.9× 22 0.2× 39 0.4× 7 673
Valérie Geffroy France 26 1.7k 1.5× 65 0.2× 241 1.5× 201 1.7× 167 1.7× 45 1.8k
H. E. Shashidhar India 15 1.1k 0.9× 594 1.8× 74 0.5× 79 0.7× 20 0.2× 44 1.1k
Elmer Iquira Canada 6 448 0.4× 173 0.5× 144 0.9× 34 0.3× 25 0.3× 6 542
Joachim Eder Germany 12 469 0.4× 246 0.7× 256 1.6× 64 0.6× 18 0.2× 25 588
Stig Tuvesson Sweden 10 735 0.6× 295 0.9× 189 1.2× 33 0.3× 41 0.4× 10 791

Countries citing papers authored by Chenggen Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chenggen Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenggen Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenggen Chu. A scholar is included among the top collaborators of Chenggen Chu 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 Chenggen Chu. Chenggen Chu 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.
2.
Chu, Chenggen, et al.. (2025). Evaluation of 26 NPGS germplasm lines for Sugar beet root maggot resistance, 2024. Arthropod management tests. 50(1).
3.
Wyatt, Nathan A., Melvin D. Bolton, Karen Fugate, et al.. (2024). Genetic drift, historic migration, and limited gene flow contributing to the subpopulation divergence in wild sea beet (Beta vulgaris ssp. maritima (L.) Arcang). PLoS ONE. 19(9). e0308626–e0308626. 1 indexed citations
4.
Wyatt, Nathan A., John J. Weiland, J C Hastings, et al.. (2024). Meta-transcriptomic analysis reveals the geographical expansion of known sugarbeet-infecting viruses and the occurrence of a novel virus in sugarbeet in the United States. Frontiers in Plant Science. 15. 1429402–1429402. 1 indexed citations
5.
6.
Alkharouf, Nadim W., Chenggen Chu, & Vincent P. Klink. (2024). A de novo assembly of genomic dataset sequences of the sugar beet root maggot Tetanops myopaeformis, TmSBRM_v1.0. Data in Brief. 54. 110298–110298. 1 indexed citations
7.
Wyatt, Nathan A., Melvin D. Bolton, Shengming Yang, et al.. (2023). Development of STARP Marker Platform for Flexible SNP Genotyping in Sugarbeet. Agronomy. 13(5). 1359–1359. 2 indexed citations
8.
Wang, Zhen, Chenggen Chu, Shichen Wang, et al.. (2023). Mapping QTL for Yield and Its Component Traits Using Wheat (Triticum aestivum L.) RIL Mapping Population from TAM 113 × Gallagher. Agronomy. 13(9). 2402–2402. 1 indexed citations
9.
Wang, Zhen, Chenggen Chu, Qingwu Xue, et al.. (2023). QTL Analysis of Yield and End-Use Quality Traits in Texas Hard Red Winter Wheat. Agronomy. 13(3). 689–689. 5 indexed citations
10.
Chu, Chenggen, et al.. (2023). Evaluation of NPGS Germplasm for Resistance to Sugar Beet Root Maggot, 2022. Arthropod management tests. 48(1).
11.
Abrouk, Michaël, Naveenkumar Athiyannan, Thomas Müller, et al.. (2021). Population genomics and haplotype analysis in spelt and bread wheat identifies a gene regulating glume color. Communications Biology. 4(1). 375–375. 14 indexed citations
12.
Wu, Nan, Dan Pei, Hao Wu, et al.. (2021). Predominant wheat-alien chromosome translocations in newly developed wheat of China. Molecular Breeding. 41(4). 30–30. 14 indexed citations
13.
Chu, Chenggen, Yan Yang, Jackie C. Rudd, et al.. (2021). Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments. PeerJ. 9. e12350–e12350. 8 indexed citations
14.
Chu, Chenggen, Shichen Wang, Li Paetzold, et al.. (2021). RNA-seq analysis reveals different drought tolerance mechanisms in two broadly adapted wheat cultivars ‘TAM 111’ and ‘TAM 112’. Scientific Reports. 11(1). 4301–4301. 33 indexed citations
15.
Girard, Audrey L., Chenggen Chu, Yan Yang, et al.. (2020). Genetic dissection of end‐use quality traits in two widely adapted wheat cultivars ‘TAM 111’ and ‘TAM 112’. Crop Science. 61(3). 1944–1959. 9 indexed citations
16.
Yang, Yan, Chenggen Chu, Shichen Wang, et al.. (2020). Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112. PLoS ONE. 15(12). e0237293–e0237293. 18 indexed citations
17.
Xu, Steven S., Chenggen Chu, Shiaoman Chao, et al.. (2010). Marker-assisted characterization of durum wheat Langdon–Golden Ball disomic substitution lines. Theoretical and Applied Genetics. 120(8). 1575–1585. 2 indexed citations
18.
Chu, Chenggen, et al.. (2009). Identification of novel QTLs for seedling and adult plant leaf rust resistance in a wheat doubled haploid population. Theoretical and Applied Genetics. 119(2). 263–269. 61 indexed citations
19.
Friesen, Timothy L., et al.. (2009). Host-selective toxins produced by Stagonospora nodorum confer disease susceptibility in adult wheat plants under field conditions. Theoretical and Applied Genetics. 118(8). 1489–1497. 67 indexed citations
20.
Chu, Chenggen, Justin D. Faris, Timothy L. Friesen, & Steven S. Xu. (2006). Molecular mapping of hybrid necrosis genes Ne1 and Ne2 in hexaploid wheat using microsatellite markers. Theoretical and Applied Genetics. 112(7). 1374–1381. 65 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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