Heng Ye

1.4k total citations
32 papers, 944 citations indexed

About

Heng Ye is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Heng Ye has authored 32 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 6 papers in Ecology and 4 papers in Molecular Biology. Recurrent topics in Heng Ye's work include Soybean genetics and cultivation (16 papers), Legume Nitrogen Fixing Symbiosis (13 papers) and Plant nutrient uptake and metabolism (7 papers). Heng Ye is often cited by papers focused on Soybean genetics and cultivation (16 papers), Legume Nitrogen Fixing Symbiosis (13 papers) and Plant nutrient uptake and metabolism (7 papers). Heng Ye collaborates with scholars based in United States, China and Australia. Heng Ye's co-authors include Henry T. Nguyen, Pengyin Chen, Babu Valliyodan, Jing Zhou, Jianfeng Zhou, Li Song, J. Grover Shannon, Md Liakat Ali, Mackensie Murphy and Lijuan Zhou and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Experimental Botany and Plant Cell & Environment.

In The Last Decade

Heng Ye

29 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng Ye United States 16 864 199 93 74 74 32 944
Liliane Márcia Mertz-Henning Brazil 19 761 0.9× 192 1.0× 171 1.8× 42 0.6× 53 0.7× 60 917
Yongdun Xie China 15 640 0.7× 147 0.7× 164 1.8× 82 1.1× 61 0.8× 51 740
Frank Gilmer Germany 7 718 0.8× 189 0.9× 181 1.9× 64 0.9× 56 0.8× 8 822
N. Neumaier Brazil 23 1.0k 1.2× 214 1.1× 232 2.5× 97 1.3× 57 0.8× 51 1.2k
Pieter Badenhorst Australia 14 362 0.4× 130 0.7× 154 1.7× 90 1.2× 65 0.9× 24 560
Katy Martin Rainey United States 20 943 1.1× 153 0.8× 78 0.8× 122 1.6× 72 1.0× 54 1.1k
Marcus Jansen Germany 14 617 0.7× 180 0.9× 164 1.8× 21 0.3× 32 0.4× 28 740
Haifu Tu China 8 459 0.5× 127 0.6× 119 1.3× 30 0.4× 28 0.4× 16 547
Jeffrey A. Skoneczka United States 8 584 0.7× 92 0.5× 95 1.0× 91 1.2× 15 0.2× 8 732
Thomas Vatter Spain 10 328 0.4× 118 0.6× 34 0.4× 87 1.2× 31 0.4× 16 396

Countries citing papers authored by Heng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Heng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Ye. A scholar is included among the top collaborators of Heng Ye 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 Heng Ye. Heng Ye 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.
Chhapekar, Sushil Satish, Vikas Devkar, Heng Ye, et al.. (2025). Identification of Novel Genetic Resources for Broad-Based Soybean Cyst Nematode Resistance Independent of Conventional Loci. Molecular Plant-Microbe Interactions. MPMI06250069FI–MPMI06250069FI.
2.
Lakhssassi, Naoufal, Sushil Satish Chhapekar, Vikas Devkar, et al.. (2025). Discovery of two tightly linked soybean genes at the qSCN10 (O) locus conferring broad-spectrum resistance to soybean cyst nematode. Communications Biology. 8(1). 259–259. 1 indexed citations
3.
4.
Zhang, Jianhua, Chunhong Yang, Lü Dong, et al.. (2023). The Late Embryogenesis Abundant Proteins in Soybean: Identification, Expression Analysis, and the Roles of GmLEA4_19 in Drought Stress. International Journal of Molecular Sciences. 24(19). 14834–14834. 15 indexed citations
5.
Ye, Heng, Tri D. Vuong, Lijuan Zhou, et al.. (2023). A novel natural variation in the promoter of GmCHX1 regulates conditional gene expression to improve salt tolerance in soybean. Journal of Experimental Botany. 75(3). 1051–1062. 9 indexed citations
6.
7.
Santhanam, Parthasarathy, Caroline Labbé, Heng Ye, et al.. (2021). Mapping of partial resistance to Phytophthora sojae in soybean PIs using whole‐genome sequencing reveals a major QTL. The Plant Genome. 15(1). e20184–e20184. 11 indexed citations
8.
Zhou, Lijuan, Li Song, Yun Lian, et al.. (2021). Genetic characterization of qSCN10 from an exotic soybean accession PI 567516C reveals a novel source conferring broad-spectrum resistance to soybean cyst nematode. Theoretical and Applied Genetics. 134(3). 859–874. 12 indexed citations
9.
Zhou, Jing, Jianfeng Zhou, Md Liakat Ali, et al.. (2021). Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning. Plant Phenomics. 2021. 9892570–9892570. 37 indexed citations
10.
Zhou, Shuiqin, et al.. (2021). Development of an automated plant phenotyping system for evaluation of salt tolerance in soybean. Computers and Electronics in Agriculture. 182. 106001–106001. 19 indexed citations
11.
Zhou, Jing, Jianfeng Zhou, Heng Ye, et al.. (2020). Classification of soybean leaf wilting due to drought stress using UAV-based imagery. Computers and Electronics in Agriculture. 175. 105576–105576. 86 indexed citations
12.
Ye, Heng, Tri D. Vuong, Gunvant Patil, et al.. (2020). Fine-mapping and characterization of qSCN18, a novel QTL controlling soybean cyst nematode resistance in PI 567516C. Theoretical and Applied Genetics. 134(2). 621–631. 14 indexed citations
13.
14.
Zhou, Jing, et al.. (2019). Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System. Sensors. 19(12). 2682–2682. 16 indexed citations
15.
Zhou, Jing, Xiuqing Fu, Shuiqin Zhou, et al.. (2019). Automated segmentation of soybean plants from 3D point cloud using machine learning. Computers and Electronics in Agriculture. 162. 143–153. 53 indexed citations
16.
Song, Li, Wei Chen, Qiuming Yao, et al.. (2019). GmBZL3 acts as a major BR signaling regulator through crosstalk with multiple pathways in Glycine max. BMC Plant Biology. 19(1). 86–86. 12 indexed citations
17.
Ye, Heng, Manish Roorkiwal, Babu Valliyodan, et al.. (2018). Genetic diversity of root system architecture in response to drought stress in grain legumes. Journal of Experimental Botany. 69(13). 3267–3277. 120 indexed citations
18.
Zhou, Jianfeng, Huatao Chen, Jing Zhou, et al.. (2018). Development of an automated phenotyping platform for quantifying soybean dynamic responses to salinity stress in greenhouse environment. Computers and Electronics in Agriculture. 151. 319–330. 32 indexed citations
19.
Ye, Heng, Li Song, Huatao Chen, et al.. (2018). A major natural genetic variation associated with root system architecture and plasticity improves waterlogging tolerance and yield in soybean. Plant Cell & Environment. 41(9). 2169–2182. 69 indexed citations
20.
Valliyodan, Babu, Heng Ye, Li Song, et al.. (2016). Genetic diversity and genomic strategies for improving drought and waterlogging tolerance in soybeans. Journal of Experimental Botany. 68(8). erw433–erw433. 153 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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