Yuhang Zhan

469 total citations
35 papers, 312 citations indexed

About

Yuhang Zhan is a scholar working on Plant Science, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Yuhang Zhan has authored 35 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 8 papers in Genetics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Yuhang Zhan's work include Soybean genetics and cultivation (28 papers), Legume Nitrogen Fixing Symbiosis (11 papers) and Plant pathogens and resistance mechanisms (10 papers). Yuhang Zhan is often cited by papers focused on Soybean genetics and cultivation (28 papers), Legume Nitrogen Fixing Symbiosis (11 papers) and Plant pathogens and resistance mechanisms (10 papers). Yuhang Zhan collaborates with scholars based in China, Thailand and United States. Yuhang Zhan's co-authors include Yingpeng Han, Xue Zhao, Weili Teng, Yangyang Guo, Lingbao Ren, Gaofeng Quan, Mert Çelikin, Lingling Fan, Houhong Pan and Lijuan Qiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and The Plant Journal.

In The Last Decade

Yuhang Zhan

33 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhang Zhan China 9 198 82 63 56 33 35 312
Fangdong Li China 12 231 1.2× 158 1.9× 248 3.9× 20 0.4× 28 0.8× 40 536
Jiahao Zhou China 11 497 2.5× 21 0.3× 222 3.5× 9 0.2× 38 1.2× 18 629
Shiping Liu China 10 270 1.4× 28 0.3× 106 1.7× 12 0.2× 20 0.6× 18 458
Chunhua Wei China 9 413 2.1× 13 0.2× 199 3.2× 9 0.2× 28 0.8× 16 554
Liudmila Kozlova Russia 14 348 1.8× 50 0.6× 129 2.0× 53 0.9× 10 0.3× 28 446
Shiwani Mandhania India 8 304 1.5× 24 0.3× 66 1.0× 35 0.6× 4 0.1× 29 372
Amir J. Bidhendi Canada 10 476 2.4× 99 1.2× 281 4.5× 51 0.9× 4 0.1× 15 607
Xiaoxia Wang China 10 526 2.7× 11 0.1× 185 2.9× 23 0.4× 12 0.4× 22 600
Yilin Cai China 13 409 2.1× 53 0.6× 116 1.8× 4 0.1× 208 6.3× 48 556

Countries citing papers authored by Yuhang Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Yuhang Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhang Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhang Zhan. A scholar is included among the top collaborators of Yuhang Zhan 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 Yuhang Zhan. Yuhang Zhan 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.
Zhao, Jialiang, Haibin Li, Haibin Li, et al.. (2025). GmFER1, a soybean ferritin, enhances tolerance to salt stress and root rot disease and improves soybean yield. Plant Biotechnology Journal. 23(8). 3094–3112. 7 indexed citations
2.
Jiang, Hao, Fang Liu, Haiyan Li, et al.. (2025). Multi‐omics analysis identified the GmUGT88A1 gene, which coordinately regulates soybean resistance to cyst nematode and isoflavone content. Plant Biotechnology Journal. 23(4). 1291–1307. 7 indexed citations
3.
Hu, Shihao, Guodong Song, Fang Liu, et al.. (2025). In Silico Characterization of GmbHLH18 and Its Role in Improving Soybean Cyst Nematode Resistance via Genetic Manipulation. Agronomy. 15(3). 574–574. 1 indexed citations
4.
Hu, Shihao, Guodong Song, Fang Liu, et al.. (2025). Genome‐wide association study and molecular marker development for resistance to soybean cyst nematode in soybean. The Plant Genome. 18(3). e70083–e70083. 1 indexed citations
5.
Wang, Yuhe, Jun Xie, Haiyan Li, et al.. (2024). Identification of Candidate Genes for Soybean Storability via GWAS and WGCNA Approaches. Agronomy. 14(11). 2457–2457. 1 indexed citations
6.
Liu, Shuang, et al.. (2024). QTL Detection of Salt Tolerance at Soybean Seedling Stage Based on Genome-Wide Association Analysis and Linkage Analysis. Plants. 13(16). 2283–2283. 2 indexed citations
7.
Zhu, Yina, et al.. (2024). Bioinformatics Identification and Expression Analysis of Acetyl-CoA Carboxylase Reveal Its Role in Isoflavone Accumulation during Soybean Seed Development. International Journal of Molecular Sciences. 25(18). 10221–10221. 3 indexed citations
8.
Han, Jinfeng, Yuanyuan Liu, Yongguang Li, et al.. (2024). Genome-Wide Association Study and Marker Development for Fusarium Oxysporum Root Rot Resistance in Soybean. International Journal of Molecular Sciences. 25(23). 12573–12573. 1 indexed citations
9.
Zhan, Yuhang, Kaiming Li, Yan Zhang, et al.. (2024). Multi-omics analysis reveals novel loci and a candidate regulatory gene of unsaturated fatty acids in soybean (Glycine max (L.) Merr). SHILAP Revista de lepidopterología. 17(1). 43–43. 1 indexed citations
10.
11.
Zhan, Yuhang, Yue Li, Zeyang Li, et al.. (2023). GmPLP1 negatively regulates soybean resistance to high light stress by modulating photosynthetic capacity and reactive oxygen species accumulation in a blue light‐dependent manner. Plant Biotechnology Journal. 21(12). 2625–2640. 8 indexed citations
12.
Liu, Yuanyuan, et al.. (2023). Combined analysis of the metabolome and transcriptome provides insight into seed oil accumulation in soybean. SHILAP Revista de lepidopterología. 16(1). 70–70. 6 indexed citations
13.
Chen, Na, Hongliang Liu, Yuming Yang, et al.. (2023). Genome-wide association analysis of resistance to frogeye leaf spot China race 7 in soybean based on high-throughput sequencing. Theoretical and Applied Genetics. 136(5). 119–119. 2 indexed citations
14.
15.
Chen, Na, Jing Yan, Zhihui Cui, et al.. (2022). Genome-Wide Association Analysis and Gene Mining of Resistance to China Race 1 of Frogeye Leaf Spot in Soybean. Frontiers in Plant Science. 13. 867713–867713. 3 indexed citations
16.
Li, Ruiqiong, Jianan Zou, Dongming Sun, et al.. (2022). Fine-Mapping and Functional Analyses of a Candidate Gene Controlling Isoflavone Content in Soybeans Seed. Frontiers in Plant Science. 13. 865584–865584. 1 indexed citations
17.
Liu, Hongliang, et al.. (2022). Genome-wide association studies reveal novel QTLs, QTL-by-environment interactions and their candidate genes for tocopherol content in soybean seed. Frontiers in Plant Science. 13. 1026581–1026581. 14 indexed citations
18.
Zhan, Yuhang, Haiyan Li, Xue Zhao, et al.. (2020). Genome wide association mapping for tocopherol concentration in soybean seeds across multiple environments. Industrial Crops and Products. 154. 112674–112674. 13 indexed citations
19.
20.
Xia, Ning, et al.. (2017). Dissection of genetic architecture for oil content in soybean seed using two backcross populations. Plant Breeding. 136(3). 365–371. 1 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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