Haifen Li

1.9k total citations
55 papers, 857 citations indexed

About

Haifen Li is a scholar working on Plant Science, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Haifen Li has authored 55 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 20 papers in Molecular Biology and 13 papers in Inorganic Chemistry. Recurrent topics in Haifen Li's work include Peanut Plant Research Studies (27 papers), Coconut Research and Applications (11 papers) and Agricultural pest management studies (6 papers). Haifen Li is often cited by papers focused on Peanut Plant Research Studies (27 papers), Coconut Research and Applications (11 papers) and Agricultural pest management studies (6 papers). Haifen Li collaborates with scholars based in China, India and Australia. Haifen Li's co-authors include Yanbin Hong, Xuanqiang Liang, Qing Lu, Hao Liu, Rajeev K. Varshney, Shaoxiong Li, Fanghe Zhu, Xiaoping Chen, Shijie Wen and Xuanqiang Liang and has published in prestigious journals such as Nature Genetics, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Haifen Li

51 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haifen Li China 17 574 345 116 67 37 55 857
Mingxuan Wang China 21 285 0.5× 362 1.0× 18 0.2× 67 1.0× 23 0.6× 90 1.2k
Yicheng Yu China 14 521 0.9× 252 0.7× 9 0.1× 43 0.6× 24 0.6× 49 828
Yukun Wei China 15 278 0.5× 602 1.7× 15 0.1× 17 0.3× 26 0.7× 51 945
R. Greasham United States 13 138 0.2× 431 1.2× 16 0.1× 20 0.3× 59 1.6× 25 659
Xiaodong Jiang China 16 162 0.3× 309 0.9× 14 0.1× 13 0.2× 44 1.2× 40 642
Veronica T. Benites United States 19 157 0.3× 856 2.5× 9 0.1× 26 0.4× 45 1.2× 34 1.0k
Hongli Luo China 23 1.4k 2.5× 819 2.4× 15 0.1× 25 0.4× 38 1.0× 102 2.1k
Toshio Sugimoto Japan 17 736 1.3× 471 1.4× 12 0.1× 29 0.4× 33 0.9× 65 1.3k
Yangyong Zhang China 26 1.9k 3.3× 1.4k 4.0× 16 0.1× 44 0.7× 243 6.6× 161 2.4k

Countries citing papers authored by Haifen Li

Since Specialization
Citations

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

Fields of papers citing papers by Haifen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haifen Li. A scholar is included among the top collaborators of Haifen 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 Haifen Li. Haifen 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.
Wang, Xinyang, Runfeng Wang, Muhammad Jawad Umer, et al.. (2025). Integration of single‐nuclei transcriptome and bulk RNA‐seq to unravel the role of AhWRKY70 in regulating stem cell development in Arachis hypogaea L.. Plant Biotechnology Journal. 23(5). 1814–1831. 4 indexed citations
2.
3.
Umer, Muhammad Jawad, Runfeng Wang, Yuan Xiao, et al.. (2025). Transcriptomic analysis of AhAHL23-mediated root development and space-induced mutations in peanut (Arachis hypogaea L.). International Journal of Biological Macromolecules. 311(Pt 4). 144064–144064. 1 indexed citations
4.
Huang, Suihua, Hao Liu, Qing Lu, et al.. (2024). Silica nanoparticles conferring resistance to bacterial wilt in peanut (Arachis hypogaea L.). The Science of The Total Environment. 915. 170112–170112. 18 indexed citations
5.
Lu, Qing, Hao Liu, Vanika Garg, et al.. (2024). A genomic variation map provides insights into peanut diversity in China and associations with 28 agronomic traits. Nature Genetics. 56(3). 530–540. 36 indexed citations
6.
Gangurde, Sunil S., Yanbin Hong, Yuan Xiao, et al.. (2024). ScRNA‐seq reveals dark‐ and light‐induced differentially expressed gene atlases of seedling leaves in Arachis hypogaea L.. Plant Biotechnology Journal. 22(7). 1848–1866. 10 indexed citations
7.
Wang, Wenyi, Vanika Garg, Qing Lu, et al.. (2023). scRNA-seq Reveals the Mechanism of Fatty Acid Desaturase 2 Mutation to Repress Leaf Growth in Peanut (Arachis hypogaea L.). Cells. 12(18). 2305–2305. 8 indexed citations
8.
Hong, Yanbin, Manish K. Pandey, Qing Lu, et al.. (2021). Genetic diversity and distinctness based on morphological and SSR markers in peanut. Agronomy Journal. 113(6). 4648–4660. 17 indexed citations
9.
Liu, Hao, Liping Wang, Xuanqiang Liang, et al.. (2021). Single‐cell RNA‐seq describes the transcriptome landscape and identifies critical transcription factors in the leaf blade of the allotetraploid peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 19(11). 2261–2276. 78 indexed citations
10.
Xiao, Yuan, Hao Liu, Xuanqiang Liang, et al.. (2021). Impact of different cooking methods on the chemical profile of high-oleic acid peanut seeds. Food Chemistry. 379. 131970–131970. 21 indexed citations
11.
Li, Haifen, Ruo Zhou, Shaohang Xu, et al.. (2020). Improving Gene Annotation of the Peanut Genome by Integrated Proteogenomics Workflow. Journal of Proteome Research. 19(6). 2226–2235. 6 indexed citations
12.
Liang, Xuanqiang, Qing Lu, Haifen Li, et al.. (2020). Global transcriptome analysis of subterranean pod and seed in peanut (Arachis hypogaea L.) unravels the complexity of fruit development under dark condition. Scientific Reports. 10(1). 13050–13050. 13 indexed citations
13.
Li, Haifen, Xuanqiang Liang, Baojin Zhou, et al.. (2020). A proteomic analysis of peanut seed at different stages of underground development to understand the changes of seed proteins. PLoS ONE. 15(12). e0243132–e0243132. 10 indexed citations
14.
Liu, Hao, Yanbin Hong, Qing Lu, et al.. (2019). Integrated Analysis of Comparative Lipidomics and Proteomics Reveals the Dynamic Changes of Lipid Molecular Species in High-Oleic Acid Peanut Seed. Journal of Agricultural and Food Chemistry. 68(1). 426–438. 27 indexed citations
15.
Liu, Hao, Jianzhong Gu, Qing Lu, et al.. (2019). Transcriptomic Analysis Reveals the High-Oleic Acid Feedback Regulating the Homologous Gene Expression of Stearoyl-ACP Desaturase 2 (SAD2) in Peanuts. International Journal of Molecular Sciences. 20(12). 3091–3091. 24 indexed citations
16.
Lu, Qing, Yanbin Hong, Shaoxiong Li, et al.. (2019). Genome-wide identification of microsatellite markers from cultivated peanut (Arachis hypogaea L.). BMC Genomics. 20(1). 799–799. 22 indexed citations
17.
Wen, Shijie, Hao Liu, Xingyu Li, et al.. (2018). TALEN-mediated targeted mutagenesis of fatty acid desaturase 2 (FAD2) in peanut (Arachis hypogaea L.) promotes the accumulation of oleic acid. Plant Molecular Biology. 97(1-2). 177–185. 56 indexed citations
18.
19.
Zhu, Wei, Xiao‐Ping Chen, Haifen Li, et al.. (2014). Comparative transcriptome analysis of aerial and subterranean pods development provides insights into seed abortion in peanut. Plant Molecular Biology. 85(4-5). 395–409. 27 indexed citations
20.
Li, Haifen, Jiajia Zhang, & Yincai Tang. (2012). Induced smoothing for the semiparametric accelerated hazards model. Computational Statistics & Data Analysis. 56(12). 4312–4319. 7 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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