Lingling Tan

911 total citations
40 papers, 662 citations indexed

About

Lingling Tan is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Lingling Tan has authored 40 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Plant Science and 6 papers in Pharmacology. Recurrent topics in Lingling Tan's work include Plant Stress Responses and Tolerance (6 papers), Fungal Biology and Applications (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Lingling Tan is often cited by papers focused on Plant Stress Responses and Tolerance (6 papers), Fungal Biology and Applications (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Lingling Tan collaborates with scholars based in China, United States and Ukraine. Lingling Tan's co-authors include Lizhe An, Zhiguang Zhao, Xilu Ni, Song Yang, Huyuan Feng, Xunling Wang, Qingbai Wu, Hua Zhang, Lizhe An and Zhang Chenglie and has published in prestigious journals such as Nature Communications, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

Lingling Tan

38 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Tan China 15 381 322 70 60 39 40 662
Weiting Liu China 12 458 1.2× 347 1.1× 49 0.7× 49 0.8× 30 0.8× 29 736
Alexandra H. Heussner Germany 13 412 1.1× 144 0.4× 26 0.4× 108 1.8× 35 0.9× 18 771
Dipesh Kumar Trivedi India 10 744 2.0× 320 1.0× 36 0.5× 50 0.8× 24 0.6× 14 951
Borjana Arsova Germany 14 663 1.7× 579 1.8× 20 0.3× 41 0.7× 48 1.2× 21 1.0k
Olga V. Voitsekhovskaja Russia 18 798 2.1× 409 1.3× 28 0.4× 90 1.5× 48 1.2× 47 989
Ramu S. Saravanan United States 6 550 1.4× 490 1.5× 27 0.4× 35 0.6× 17 0.4× 8 916
Xin Zhong China 14 157 0.4× 147 0.5× 131 1.9× 51 0.8× 28 0.7× 42 512
Siria Natera Australia 17 677 1.8× 361 1.1× 31 0.4× 40 0.7× 12 0.3× 23 978
Weiqi Tang China 15 393 1.0× 279 0.9× 42 0.6× 13 0.2× 49 1.3× 40 667
Sara Mayo‐Prieto Spain 14 427 1.1× 138 0.4× 31 0.4× 31 0.5× 34 0.9× 36 698

Countries citing papers authored by Lingling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Tan. A scholar is included among the top collaborators of Lingling Tan 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 Lingling Tan. Lingling Tan 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.
Zhang, Cong, Yao Lü, Mingming Zhang, et al.. (2025). Improvement of plant growth and fruit quality by introducing a phosphoribosylpyrophosphate synthetase mutation into Methylorubrum populi. Journal of Applied Microbiology. 136(1). 3 indexed citations
2.
3.
Yu, Guihong, et al.. (2024). Multi-target anti-diabetic styrylpyrones from Phellinus igniarius: Inhibition of α-glucosidase, protein glycation, and oxidative stress. International Journal of Biological Macromolecules. 278(Pt 2). 134854–134854.
4.
5.
Wang, Zhihong, Yan Zhou, Lu Li, et al.. (2024). An individualized protein-based prognostic model to stratify pediatric patients with papillary thyroid carcinoma. Nature Communications. 15(1). 3560–3560. 6 indexed citations
6.
Ma, Yaping, Lingling Tan, Yue Zhang, et al.. (2024). Modeling study of pedestrian evacuation considering dynamic guidance under terrorist attack events. Physics Letters A. 532. 130190–130190. 2 indexed citations
7.
Tan, Lingling, et al.. (2024). Geographical pattern of the deviation between taxonomic, phylogenetic, and functional diversity and its implications for the conservation of Chinese orchids. Global Ecology and Conservation. 54. e03051–e03051. 1 indexed citations
8.
Sun, Rui, Lingling Tan, Xuan Ding, et al.. (2023). A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes. Clinical Proteomics. 20(1). 1 indexed citations
9.
Ma, Minmin, Rui Sun, Zhonghua Zhu, et al.. (2023). Forager-farmer transition at the crossroads of East and Southeast Asia 4900 years ago. Science Bulletin. 69(1). 103–113. 14 indexed citations
10.
Du, Yunfei, Lu Cao, Shuo Wang, et al.. (2023). Differences in alternative splicing and their potential underlying factors between animals and plants. Journal of Advanced Research. 64. 83–98. 7 indexed citations
11.
Wang, Shuo, Lingling Tan, Xiaoxue Ye, et al.. (2022). Innovation and Emerging Roles of Populus trichocarpa TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR Transcription Factors in Abiotic Stresses by Whole-Genome Duplication. Frontiers in Plant Science. 13. 850064–850064. 9 indexed citations
12.
Yu, Guihong, et al.. (2021). Coculture, An Efficient Biotechnology for Mining the Biosynthesis Potential of Macrofungi via Interspecies Interactions. Frontiers in Microbiology. 12. 663924–663924. 27 indexed citations
13.
Tan, Lingling, et al.. (2019). Probing the molecular toxic mechanism of lead (II) ions with glutathione peroxidase 6 from Arabidopsis thaliana. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 226. 117597–117597. 15 indexed citations
14.
Ni, Xilu, et al.. (2019). Programmed Cell Death and Aerenchyma Formation in Water-Logged Sunflower Stems and Its Promotion by Ethylene and ROS. Frontiers in Plant Science. 9. 1928–1928. 54 indexed citations
15.
Hou, Xiaomin, Lingling Tan, & Si‐Fu Tang. (2019). Molecular mechanism study on the interactions of cadmium (II) ions with Arabidopsis thaliana glutathione transferase Phi8. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 216. 411–417. 18 indexed citations
16.
Yang, Jing, Min Zhang, Xuhua Mo, et al.. (2018). Metabolic engineering of Methylobacterium extorquens AM1 for the production of butadiene precursor. Microbial Cell Factories. 17(1). 194–194. 19 indexed citations
17.
Li, Delong, et al.. (2016). Acetylome analysis reveals the involvement of lysine acetylation in diverse biological processes in Phytophthora sojae. Scientific Reports. 6(1). 29897–29897. 33 indexed citations
18.
Tan, Lingling, et al.. (2015). Expression, purification and guanine nucleotide binding characterization of Arabidopsis RabE1d13-185 GTPase. Protein Expression and Purification. 119. 57–62. 1 indexed citations
19.
Zhao, Zhiguang, et al.. (2012). Deep-sequencing transcriptome analysis of chilling tolerance mechanisms of a subnival alpine plant, Chorispora bungeana. BMC Plant Biology. 12(1). 222–222. 71 indexed citations
20.
Lin, Qiang, Na Gu, Gang Li, et al.. (2012). Effects of inorganic carbon concentration on carbon formation, nitrate utilization, biomass and oil accumulation of Nannochloropsis oculata CS 179. Bioresource Technology. 111. 353–359. 32 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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