Li Feng

3.5k total citations
90 papers, 1.8k citations indexed

About

Li Feng is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Li Feng has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Plant Science and 30 papers in Genetics. Recurrent topics in Li Feng's work include Genetic diversity and population structure (28 papers), Genomics and Phylogenetic Studies (23 papers) and Plant Stress Responses and Tolerance (11 papers). Li Feng is often cited by papers focused on Genetic diversity and population structure (28 papers), Genomics and Phylogenetic Studies (23 papers) and Plant Stress Responses and Tolerance (11 papers). Li Feng collaborates with scholars based in China, United Kingdom and United States. Li Feng's co-authors include Guifang Zhao, Jia Yang, Tao Zhou, Yanci Yang, Dong Duan, Zhong‐Hu Li, Weibiao Liao, Qing‐Yun Wu, Xinghong Yang and Yayu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Li Feng

86 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Feng China 24 1.0k 840 352 250 133 90 1.8k
Irfan Gunduz United States 16 1.4k 1.4× 1.1k 1.4× 419 1.2× 191 0.8× 227 1.7× 22 2.5k
Jeffrey Tomkins United States 12 764 0.7× 1.0k 1.2× 281 0.8× 334 1.3× 172 1.3× 26 1.9k
Behrouz Shiran Iran 22 1.5k 1.5× 676 0.8× 194 0.6× 200 0.8× 37 0.3× 93 1.9k
Naxin Huo United States 21 1.2k 1.2× 648 0.8× 393 1.1× 105 0.4× 83 0.6× 36 1.7k
Sang‐Hun Oh South Korea 20 1.3k 1.3× 1.1k 1.3× 301 0.9× 1.0k 4.2× 65 0.5× 78 2.2k
Prasad Kesanakurti Canada 13 558 0.5× 840 1.0× 371 1.1× 384 1.5× 215 1.6× 20 1.4k
Somvong Tragoonrung Thailand 26 1.7k 1.7× 991 1.2× 651 1.8× 176 0.7× 237 1.8× 59 2.4k
Duangjai Sangsrakru Thailand 23 1.0k 1.0× 1.0k 1.2× 393 1.1× 163 0.7× 367 2.8× 59 1.9k
R. Fernández-Muñoz Spain 26 2.2k 2.2× 969 1.2× 195 0.6× 115 0.5× 102 0.8× 74 2.7k
Honghe Sun China 28 1.9k 1.9× 1.1k 1.3× 773 2.2× 137 0.5× 52 0.4× 55 2.4k

Countries citing papers authored by Li Feng

Since Specialization
Citations

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

Fields of papers citing papers by Li Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Li Feng. A scholar is included among the top collaborators of Li Feng 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 Li Feng. Li Feng 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.
Zhou, Hongyu, Long Jiang, Li Feng, et al.. (2025). Developing Machine Learning Models Based on Clinical Manifestations to Predict Influenza — Chongqing Municipality, China, 2022–2023. China CDC Weekly. 7(11). 363–367. 1 indexed citations
2.
Ji, Qun, Li Feng, Xinfang Huang, et al.. (2024). Assessment of phylogenetic relationships and genetic diversity of Sagittaria trifolia using phenotypic traits and SNP markers. PLoS ONE. 19(6). e0302313–e0302313.
3.
Zhou, Heng, et al.. (2024). Mechanism of Cordyceps militaris in gouty nephropathy explored using network pharmacology and molecular docking technology. Food Bioscience. 60. 104299–104299. 2 indexed citations
4.
Feng, Li, et al.. (2023). Niche Dynamics Below the Species Level: Evidence from Evaluating Niche Shifts within Quercus aquifolioides. Forests. 14(4). 690–690. 2 indexed citations
5.
Zhang, Tianyi, Yanbing Guo, Chenxi Gao, et al.. (2023). Phylogenomics, phylogeography and germplasms authentication of the Rheum palmatum complex based on complete chloroplast genomes. Journal of Plant Research. 136(3). 291–304. 9 indexed citations
6.
Fang, Hua, Panpan Huang, Li Feng, et al.. (2023). Effects of Hydrogen-Rich Water on Postharvest Physiology in Scales of Lanzhou Lily during Storage. Horticulturae. 9(2). 156–156. 3 indexed citations
7.
Liu, Dan, Wenqing Li, Wenqing Li, et al.. (2021). Characterization of the complete chloroplast genome of Quercus virginiana Mill. (Fagaceae). SHILAP Revista de lepidopterología. 6(3). 868–869. 1 indexed citations
8.
Jia, Shuxia, et al.. (2021). Fine Root Traits of Pinus koraiensis Varied with Soil Cation Exchange Capacity in Natural Forests. Land. 10(4). 363–363. 5 indexed citations
9.
Feng, Li, Markus Ruhsam, Yihan Wang, Zhong‐Hu Li, & Xumei Wang. (2020). Using demographic model selection to untangle allopatric divergence and diversification mechanisms in the Rheum palmatum complex in the Eastern Asiatic Region. Molecular Ecology. 29(10). 1791–1805. 17 indexed citations
10.
Feng, Li, et al.. (2019). Effect of arbuscular mycorrhizal fungi on physiology and ecology of Festuca elata under soil compaction stress.. Xibei zhiwu xuebao. 39(9). 1642–1650. 1 indexed citations
11.
Liu, Yuping, Jing Peng, Li Feng, et al.. (2016). Observation on diversity of color characters of taro germplasm resource.. Zhongguo shucai. 31–36. 1 indexed citations
12.
13.
Feng, Li, et al.. (2016). Distinctive morphological characteristics contribute to the identification of Artemisia annua L. germplasms with high yield and high artemisinin content. Journal of Applied Research on Medicinal and Aromatic Plants. 3(2). 43–47. 5 indexed citations
14.
Yang, Jia, et al.. (2016). Phylogeography and evolution of two closely related oak species (Quercus) from north and northeast China. Tree Genetics & Genomes. 12(5). 25 indexed citations
15.
Peng, Jie, et al.. (2014). Effect of drought stress on lipid peroxidation and proline content in cotton roots.. The Journal of Animal and Plant Sciences. 24(6). 1729–1736. 40 indexed citations
16.
Kitashiba, Hiroyasu, Li Feng, Hideki Hirakawa, et al.. (2014). Draft Sequences of the Radish (Raphanus sativus L.) Genome. DNA Research. 21(5). 481–490. 137 indexed citations
17.
Wu, Zhihua, Shuzhen Wang, Jihong Hu, et al.. (2011). Development and characterization of microsatellite markers for Sagittaria trifolia var. sinensis (Alismataceae). American Journal of Botany. 98(2). e36–8. 9 indexed citations
18.
Feng, Li, et al.. (2009). Tobacco plants transformed with tomato sense LetAPX enhanced salt tolerance.. Zhongguo nongye Kexue. 42(4). 1165–1171. 1 indexed citations
19.
Wang, Yajun, et al.. (2009). Analysis of the origin and classification of C. brettschnederi by ISSR markers.. Jilin Nongye Daxue xuebao. 31(2). 164–167. 3 indexed citations
20.
Feng, Li, et al.. (2006). RAPD MARKERS BETWEEN YELLOW CATFISH PELTEOBAGRUS FULVIDRACO AND LONG YELLOW CATFISH PELTEOBAGRUS EUPOGON. Acta Hydrobiologica Sinica. 3 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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