Jun Lin

3.7k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Jun Lin is a scholar working on Molecular Biology, Epidemiology and Materials Chemistry. According to data from OpenAlex, Jun Lin has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Epidemiology and 9 papers in Materials Chemistry. Recurrent topics in Jun Lin's work include Autophagy in Disease and Therapy (15 papers), Single-cell and spatial transcriptomics (7 papers) and Advanced Nanomaterials in Catalysis (3 papers). Jun Lin is often cited by papers focused on Autophagy in Disease and Therapy (15 papers), Single-cell and spatial transcriptomics (7 papers) and Advanced Nanomaterials in Catalysis (3 papers). Jun Lin collaborates with scholars based in China, United States and Taiwan. Jun Lin's co-authors include Longping Wen, Yunjiao Zhang, Pengfei Wei, Peipei Jin, Ning Gu, Zhihai Huang, Hao Wu, Jiqian Zhang, Kun Qu and Wei Zhou and has published in prestigious journals such as Nature Communications, Applied Physics Letters and The Astrophysical Journal.

In The Last Decade

Jun Lin

40 papers receiving 1.7k citations

Hit Papers

Benchmarking spatial and single-cell transcriptomics inte... 2022 2026 2023 2024 2022 50 100 150 200
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. Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution
    2022 225 citations Bin Li, Wen Zhang et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Lin China 23 673 513 505 435 269 40 1.8k
Bin Qiao China 23 610 0.9× 225 0.4× 645 1.3× 167 0.4× 149 0.6× 71 1.6k
Rongrong Wu China 28 1.1k 1.6× 479 0.9× 235 0.5× 155 0.4× 189 0.7× 106 2.5k
Tinghe Yu China 25 707 1.1× 350 0.7× 725 1.4× 109 0.3× 131 0.5× 81 1.8k
Markus Rehberg Germany 29 934 1.4× 678 1.3× 474 0.9× 91 0.2× 332 1.2× 59 2.5k
Chao Fang China 24 645 1.0× 146 0.3× 530 1.0× 94 0.2× 215 0.8× 68 1.7k
Kazuma Higashisaka Japan 22 350 0.5× 439 0.9× 267 0.5× 51 0.1× 169 0.6× 84 1.3k
Rolando E. Yanes United States 11 476 0.7× 149 0.3× 166 0.3× 156 0.4× 499 1.9× 12 1.3k
Verica Paunović Serbia 18 357 0.5× 444 0.9× 357 0.7× 202 0.5× 208 0.8× 38 1.3k
Qingqing Yin China 23 533 0.8× 325 0.6× 658 1.3× 75 0.2× 194 0.7× 63 1.5k
Jiani Yang China 20 481 0.7× 273 0.5× 575 1.1× 62 0.1× 203 0.8× 66 1.4k

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Lin. A scholar is included among the top collaborators of Jun Lin 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 Jun Lin. Jun Lin 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.
Ding, Binbin, et al.. (2024). Reverse thinking: Tumor nutritional therapy. 2(3). 3 indexed citations
2.
3.
Xu, Hao, Shuyan Wang, Minghao Fang, et al.. (2023). SPACEL: deep learning-based characterization of spatial transcriptome architectures. Nature Communications. 14(1). 7603–7603. 49 indexed citations
4.
Liu, Nianping, Chen Jiang, Xinfeng Yao, et al.. (2023). Single-cell landscape of primary central nervous system diffuse large B-cell lymphoma. Cell Discovery. 9(1). 55–55. 10 indexed citations
5.
Li, Bin, Wen Zhang, Chuang Guo, et al.. (2022). Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution. Nature Methods. 19(6). 662–670. 225 indexed citations breakdown →
6.
Li, Young, Kun Li, Bin Li, et al.. (2021). Development of double-positive thymocytes at single-cell resolution. Genome Medicine. 13(1). 49–49. 22 indexed citations
7.
Guo, Chuang, Pengfei Cai, Liying Jin, et al.. (2021). Single-cell profiling of the human decidual immune microenvironment in patients with recurrent pregnancy loss. Cell Discovery. 7(1). 1–1. 128 indexed citations
8.
Lin, Xiaolong, et al.. (2020). FGF21 induces autophagy‐mediated cholesterol efflux to inhibit atherogenesis via RACK1 up‐regulation. Journal of Cellular and Molecular Medicine. 24(9). 4992–5006. 37 indexed citations
9.
Liu, Qian, Lisa C. Zaba, Ansuman T. Satpathy, et al.. (2020). Author Correction: Chromatin accessibility landscapes of skin cells in systemic sclerosis nominate dendritic cells in disease pathogenesis. Nature Communications. 11(1). 6416–6416. 2 indexed citations
10.
Liu, Qian, Lisa C. Zaba, Ansuman T. Satpathy, et al.. (2020). Chromatin accessibility landscapes of skin cells in systemic sclerosis nominate dendritic cells in disease pathogenesis. Nature Communications. 11(1). 5843–5843. 28 indexed citations
11.
Li, Bin, Young Li, Kun Li, et al.. (2020). APEC: an accesson-based method for single-cell chromatin accessibility analysis. Genome biology. 21(1). 116–116. 12 indexed citations
12.
Hu, Yi, Hourui Zhang, Liang Dong, et al.. (2019). Enhancing tumor chemotherapy and overcoming drug resistance through autophagy-mediated intracellular dissolution of zinc oxide nanoparticles. Nanoscale. 11(24). 11789–11807. 71 indexed citations
13.
Wang, Yanhong, Yiming Liu, Wei Zhou, Jun Lin, & Longping Wen. (2019). Myosin Light-Chain Kinase Inhibitors Attenuate Nanoparticles-Induced Autophagy and Cytotoxicity by Suppression Endocytosis. Journal of Nanoscience and Nanotechnology. 19(7). 3792–3797. 2 indexed citations
14.
Zhang, Yunjiao, Rui Sha, Wenbin Zhang, et al.. (2018). Harnessing copper-palladium alloy tetrapod nanoparticle-induced pro-survival autophagy for optimized photothermal therapy of drug-resistant cancer. Nature Communications. 9(1). 4236–4236. 178 indexed citations
15.
16.
Lin, Jun, Jiqian Zhang, Yunjiao Zhang, et al.. (2016). Giant Cellular Vacuoles Induced by Rare Earth Oxide Nanoparticles are Abnormally Enlarged Endo/Lysosomes and Promote mTOR-Dependent TFEB Nucleus Translocation. Small. 12(41). 5759–5768. 35 indexed citations
17.
Zhang, Jiqian, Wei Zhou, Shasha Zhu, et al.. (2016). Persistency of Enlarged Autolysosomes Underscores Nanoparticle‐Induced Autophagy in Hepatocytes. Small. 13(7). 38 indexed citations
18.
Wu, Hao, Jun Lin, Peidang Liu, et al.. (2015). Is the autophagy a friend or foe in the silver nanoparticles associated radiotherapy for glioma？. Biomaterials. 62. 47–57. 63 indexed citations
19.
Lin, Jun, Zhihai Huang, Hao Wu, et al.. (2014). Inhibition of autophagy enhances the anticancer activity of silver nanoparticles. Autophagy. 10(11). 2006–2020. 225 indexed citations
20.
Lü, Yang, Li Zhang, Jing Li, et al.. (2012). MnO Nanocrystals: A Platform for Integration of MRI and Genuine Autophagy Induction for Chemotherapy. Advanced Functional Materials. 23(12). 1534–1546. 78 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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