Zongyun Li

5.1k total citations · 1 hit paper
161 papers, 3.6k citations indexed

About

Zongyun Li is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Zongyun Li has authored 161 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Plant Science, 72 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Zongyun Li's work include Plant Molecular Biology Research (42 papers), Plant Stress Responses and Tolerance (33 papers) and Plant Gene Expression Analysis (27 papers). Zongyun Li is often cited by papers focused on Plant Molecular Biology Research (42 papers), Plant Stress Responses and Tolerance (33 papers) and Plant Gene Expression Analysis (27 papers). Zongyun Li collaborates with scholars based in China, United States and South Korea. Zongyun Li's co-authors include Mingku Zhu, Jian Sun, Tao Xu, Daifu Ma, Tingting Dong, Yicheng Yu, Xiaoqing Meng, Yonghua Han, Qinghe Cao and Syed Kumail Abbas Rizvi and has published in prestigious journals such as ACS Nano, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Zongyun Li

154 papers receiving 3.5k citations

Hit Papers

Understanding the dynamics of resource curse in G7 countr... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Understanding the dynamics of resource curse in G7 countries: The role of natural resource rents and the three facets of financial development
    2021 164 citations Zongyun Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zongyun Li China 35 2.4k 1.6k 265 194 186 161 3.6k
Qing Wang China 31 2.1k 0.9× 1.5k 0.9× 260 1.0× 30 0.2× 286 1.5× 182 3.6k
Guanqun Chen Canada 33 1.3k 0.5× 1.9k 1.2× 130 0.5× 33 0.2× 142 0.8× 123 3.4k
Jun Wu China 41 3.4k 1.4× 3.4k 2.1× 237 0.9× 26 0.1× 412 2.2× 181 5.3k
Chunlin Long China 42 3.1k 1.3× 2.2k 1.4× 1.2k 4.4× 44 0.2× 339 1.8× 313 6.2k
John M. Ward United States 55 7.9k 3.3× 3.5k 2.2× 228 0.9× 53 0.3× 214 1.2× 125 9.8k
Jim M. Dunwell United Kingdom 41 5.3k 2.2× 4.0k 2.5× 402 1.5× 42 0.2× 929 5.0× 179 8.0k
R. Uma Shaanker India 39 1.9k 0.8× 1.3k 0.8× 269 1.0× 62 0.3× 377 2.0× 180 4.4k

Countries citing papers authored by Zongyun Li

Since Specialization
Citations

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

Fields of papers citing papers by Zongyun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongyun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zongyun Li. A scholar is included among the top collaborators of Zongyun Li 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 Zongyun Li. Zongyun Li 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.
Shi, Zhenduo, Ying Liu, Ziqi Tao, et al.. (2025). Apigenin inhibits recurrent bladder cancer progression by targeting VEGF-β. Cancer Letters. 620. 217676–217676. 3 indexed citations
2.
3.
Meng, Xiaoqing, Tingting Dong, Zongyun Li, & Mingku Zhu. (2024). First systematic review of the last 30 years of research on sweetpotato: elucidating the frontiers and hotspots. Frontiers in Plant Science. 15. 1428975–1428975. 5 indexed citations
4.
5.
Zheng, Hao, et al.. (2024). Physiological changes and molecular regulation in sweetpotato responses to low‐temperature stress. Crop Science. 65(1). 1 indexed citations
6.
7.
Liu, Siyuan, Chengbin Zhang, Feng Guo, et al.. (2022). A systematical genome-wide analysis and screening of WRKY transcription factor family engaged in abiotic stress response in sweetpotato. BMC Plant Biology. 22(1). 79–616. 14 indexed citations
8.
Zhang, Yu, Mingjie Xu, Chunmei Zhang, et al.. (2021). Antifungal effect of volatile organic compounds produced by Pseudomonas chlororaphis subsp. aureofaciens SPS-41 on oxidative stress and mitochondrial dysfunction of Ceratocystis fimbriata. Pesticide Biochemistry and Physiology. 173. 104777–104777. 47 indexed citations
9.
Zhang, Luyue, et al.. (2021). Karyotypic stability of Fragaria (strawberry) species revealed by cross-species chromosome painting. Chromosome Research. 29(3-4). 285–300. 12 indexed citations
10.
Zhou, Qiaoling, Yongmei Huang, Huifeng Li, et al.. (2021). Three chemosensory proteins from the sweet potato weevil, Cylas formicarius , are involved in the perception of host plant volatiles. Pest Management Science. 77(10). 4497–4509. 20 indexed citations
11.
Tang, Cheng, Rongpeng Han, Zhengkun Zhou, et al.. (2020). Identification of candidate miRNAs related in storage root development of sweet potato by high throughput sequencing. Journal of Plant Physiology. 251. 153224–153224. 17 indexed citations
12.
Pan, Chao, Yongmei Huang, Yanqing Li, et al.. (2020). Functional characteristic analysis of three odorant‐binding proteins from the sweet potato weevil (Cylas formicarius) in the perception of sex pheromones and host plant volatiles. Pest Management Science. 77(1). 300–312. 23 indexed citations
13.
Liu, Zhenning, et al.. (2020). The Interaction Network and Signaling Specificity of Two-Component System in Arabidopsis. International Journal of Molecular Sciences. 21(14). 4898–4898. 31 indexed citations
14.
Dong, Xiaofeng, Qinghe Cao, Tao Xu, et al.. (2019). A systematic comparison of eight new plastome sequences from Ipomoea L. PeerJ. 7. e6563–e6563. 11 indexed citations
15.
Zhu, Mingku, et al.. (2017). Cloning and expression analysis of stress treatments of a MADS-box transcription factor in sweet potato.. Zhiwu yanjiu. 37(4). 587–595. 2 indexed citations
16.
Liu, Meiyan, et al.. (2014). Analysis of nrDNA ITS sequences in Ipomoea batatas and its relative wild species. Plant Science Journal. 32(1). 40–49. 2 indexed citations
17.
Liu, Yuanying, et al.. (2010). Effects of integrated nutrient management on lodging resistance of rice in cold area.. Zhongguo nongye Kexue. 43(21). 4536–4542. 10 indexed citations
18.
Li, Zongyun, et al.. (2010). FISH analysis and chromosome identification of Glycyrrhiza uralensis genome from different territory.. Xibei zhiwu xuebao. 30(2). 262–268. 1 indexed citations
19.
Li, Zongyun. (2008). Evaluation of Genotoxicity Induced by Lanthanum Nitrate in the Root Tip Cells of Vicia faba by Comet Assay. Nongye huanjing kexue xuebao. 1 indexed citations
20.
Li, Zongyun. (2002). Genomic in situ hybridization (GISH) discriminates the A, B and C genomes in Brassica allotetraploid species. 6 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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