Fei Ling

1.4k total citations
63 papers, 563 citations indexed

About

Fei Ling is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Fei Ling has authored 63 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 25 papers in Immunology and 9 papers in Virology. Recurrent topics in Fei Ling's work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (16 papers) and HIV Research and Treatment (9 papers). Fei Ling is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (16 papers) and HIV Research and Treatment (9 papers). Fei Ling collaborates with scholars based in China, United States and Hong Kong. Fei Ling's co-authors include Min Zhuo, Hongli Du, Chongyin Han, Jiaqi Hu, Wei Luo, Yaosheng Chen, Xiaoning Wang, Jiayuan Zhong, Yabin Jin and Dan Zou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Fei Ling

57 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ling China 13 305 147 99 84 75 63 563
Brendan Ha United States 6 386 1.3× 281 1.9× 92 0.9× 91 1.1× 123 1.6× 9 744
Yizhao Luan China 11 424 1.4× 124 0.8× 63 0.6× 156 1.9× 82 1.1× 16 733
Chun Cai United States 15 238 0.8× 63 0.4× 82 0.8× 72 0.9× 47 0.6× 42 572
Besma Bel Hadj Jrad Tunisia 13 203 0.7× 133 0.9× 65 0.7× 82 1.0× 54 0.7× 36 488
Kelan Chen Australia 11 521 1.7× 98 0.7× 81 0.8× 54 0.6× 173 2.3× 15 765
Mercè Pérez‐Riba Spain 15 559 1.8× 109 0.7× 43 0.4× 115 1.4× 110 1.5× 29 736
Jane Gilmour United Kingdom 14 345 1.1× 210 1.4× 61 0.6× 58 0.7× 49 0.7× 19 634
Reiner Schulte Germany 9 422 1.4× 315 2.1× 92 0.9× 169 2.0× 35 0.5× 14 871
Rolando Cuevas United States 14 340 1.1× 199 1.4× 38 0.4× 77 0.9× 97 1.3× 27 722
Didier Scherrer France 14 201 0.7× 124 0.8× 81 0.8× 28 0.3× 97 1.3× 32 533

Countries citing papers authored by Fei Ling

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ling. A scholar is included among the top collaborators of Fei Ling 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 Fei Ling. Fei Ling 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, Yixin, Sifei Yu, Ziyi Huang, et al.. (2025). NK cellular derived nanovesicles in tumor immunity. Molecular Immunology. 182. 54–61. 4 indexed citations
2.
3.
Liu, Zhiyuan, Kaihong Huang, Jiawei Wu, et al.. (2025). Artificial intelligence-based model to predict recurrence after local excision in T1 rectal cancer. European Journal of Surgical Oncology. 51(6). 109717–109717. 4 indexed citations
4.
Ling, Fei, et al.. (2024). CRISPR/Cas9 System with Dual gRNAs Synergically Inhibit Hepatitis B Virus Replication. Discovery Medicine. 36(185). 1169–1169. 2 indexed citations
5.
Zhu, Lihua, Yanrong Wei, Junjie Lei, et al.. (2024). Altered immune response is associated with sex difference in vulnerability to Alzheimer's disease in human prefrontal cortex. Brain Pathology. 35(3). e13318–e13318. 1 indexed citations
6.
Li, Yunlong, Zhiyuan Liu, Ping Wang, et al.. (2024). Bioengineered Extracellular Vesicles Delivering siMDM2 Sensitize Oxaliplatin Therapy Efficacy in Colorectal Cancer. Advanced Healthcare Materials. 14(6). e2403531–e2403531.
7.
Zhong, Jiayuan, Yilin Huang, Jiaqi Hu, et al.. (2023). MAPKAPK2, a potential dynamic network biomarker of α-synuclein prior to its aggregation in PD patients. npj Parkinson s Disease. 9(1). 41–41. 3 indexed citations
8.
Liu, Xiaomin, Hanshi Xu, Qingshan Geng, et al.. (2021). New genetic variants associated with major adverse cardiovascular events in patients with acute coronary syndromes and treated with clopidogrel and aspirin. The Pharmacogenomics Journal. 21(6). 664–672. 11 indexed citations
9.
Liu, Huisheng, Jiaqi Hu, Chongyin Han, et al.. (2021). Significant Difference of Immune Cell Fractions and Their Correlations With Differential Expression Genes in Parkinson’s Disease. Frontiers in Aging Neuroscience. 13. 686066–686066. 14 indexed citations
10.
Jiang, Zhiqiang, Yilin Huang, Piao Zhang, et al.. (2020). Characterization of a pathogenic variant in GBA for Parkinson’s disease with mild cognitive impairment patients. Molecular Brain. 13(1). 102–102. 21 indexed citations
11.
Han, Chongyin, Jiayuan Zhong, Jiaqi Hu, et al.. (2020). Single-Sample Node Entropy for Molecular Transition in Pre-deterioration Stage of Cancer. Frontiers in Bioengineering and Biotechnology. 8. 809–809. 10 indexed citations
13.
Su, Zheng, Junjie Zhang, Cliona Molony, et al.. (2016). Species specific exome probes reveal new insights in positively selected genes in nonhuman primates. Scientific Reports. 6(1). 33876–33876. 3 indexed citations
14.
Chen, Minfeng, Pengfei Song, Dan Zou, et al.. (2014). Comparison of Multiple Displacement Amplification (MDA) and Multiple Annealing and Looping-Based Amplification Cycles (MALBAC) in Single-Cell Sequencing. PLoS ONE. 9(12). e114520–e114520. 49 indexed citations
15.
Qiu, Wei, Fei Ling, Min Zhuo, et al.. (2013). TRIM5α polymorphism identification in cynomolgus macaques of Vietnamese origin and Chinese rhesus macaques. American Journal of Primatology. 75(9). 938–946. 3 indexed citations
16.
Ling, Fei, Min Zhuo, Chao Ni, et al.. (2012). Comprehensive identification of high-frequency and co-occurring Mafa-B, Mafa-DQB1, and Mafa-DRB alleles in cynomolgus macaques of Vietnamese origin. Human Immunology. 73(5). 547–553. 11 indexed citations
17.
Zhuo, Min, et al.. (2011). Eighteen novel MHC class I A alleles identified in Vietnamese‐origin cynomolgus macaques. Tissue Antigens. 78(2). 139–142. 5 indexed citations
18.
Ling, Fei, Tao Wang, Xiaoping Zhu, et al.. (2010). Cloning and characterization of the 5′-flanking region of the pig AgRP gene. Molecular Biology Reports. 38(4). 2233–2239. 7 indexed citations
19.
Ling, Fei, Tao Wang, Yaosheng Chen, et al.. (2010). Cloning and Characterization of the 5′-Flanking Region of the Pig Cocaine- and Amphetamine-Regulated Transcript Gene. DNA and Cell Biology. 30(2). 91–97. 2 indexed citations
20.
Li, Yanfang, Yaosheng Chen, Jiaqi Li, et al.. (2008). Molecular characterization, expression profile and polymorphisms of the porcine TNNC2 gene. Hereditas. 145(6). 274–282. 9 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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