Junjie Feng

1.5k total citations · 1 hit paper
33 papers, 995 citations indexed

About

Junjie Feng is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Junjie Feng has authored 33 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Junjie Feng's work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Junjie Feng is often cited by papers focused on Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Junjie Feng collaborates with scholars based in China, United States and Netherlands. Junjie Feng's co-authors include Lei Zheng, Bo Li, Timothy P. Wakeman, Xiao‐Fan Wang, Yiyao Huang, Zach Troyer, Chunchen Liu, Weilun Pan, Jingyun Guo and Tingting Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and The EMBO Journal.

In The Last Decade

Junjie Feng

30 papers receiving 984 citations

Hit Papers

Plant‐Derived Vesicle‐Like Nanoparticles as Promising Bio... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjie Feng China 19 780 256 156 124 72 33 995
Zhi Hu China 16 785 1.0× 259 1.0× 142 0.9× 204 1.6× 51 0.7× 30 1.2k
Xiaopeng Lan China 19 898 1.2× 234 0.9× 190 1.2× 220 1.8× 41 0.6× 41 1.2k
Xiangyu Wang China 16 640 0.8× 231 0.9× 90 0.6× 82 0.7× 38 0.5× 42 877
Yi Hao China 22 666 0.9× 280 1.1× 165 1.1× 162 1.3× 64 0.9× 73 1.2k
Jiayi Qian China 15 530 0.7× 180 0.7× 114 0.7× 130 1.0× 39 0.5× 55 864
Nishant Gandhi United States 14 637 0.8× 235 0.9× 138 0.9× 169 1.4× 38 0.5× 47 952
Haidong Gao China 17 643 0.8× 246 1.0× 96 0.6× 210 1.7× 78 1.1× 46 923
Cindy Meyer United States 21 1.1k 1.4× 136 0.5× 118 0.8× 98 0.8× 65 0.9× 41 1.4k
Carmela Dell’Aversana Italy 20 937 1.2× 289 1.1× 76 0.5× 172 1.4× 80 1.1× 40 1.4k

Countries citing papers authored by Junjie Feng

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Feng. A scholar is included among the top collaborators of Junjie 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 Junjie Feng. Junjie 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
2.
Huang, Yiyao, Junjie Feng, Jiannan Xu, et al.. (2024). Associations of age and sex with characteristics of extracellular vesicles and protein‐enriched fractions of blood plasma. Aging Cell. 24(1). e14356–e14356. 4 indexed citations
3.
Feng, Junjie, Xiaoxia Jian, Guoyu Jiang, & Jianguo Wang. (2024). Charged aggregation‐induced emission luminogens for bioimaging and phototherapy. Luminescence. 39(1). 1 indexed citations
4.
Feng, Junjie, et al.. (2024). Plant-derived vesicle-like nanoparticles: A new tool for inflammatory bowel disease and colitis-associated cancer treatment. Molecular Therapy. 32(4). 890–909. 20 indexed citations
5.
Zhao, Qing, Junjie Feng, Fubin Liu, et al.. (2024). Rhizoma Drynariae-derived nanovesicles reverse osteoporosis by potentiating osteogenic differentiation of human bone marrow mesenchymal stem cells via targeting ERα signaling. Acta Pharmaceutica Sinica B. 14(5). 2210–2227. 45 indexed citations
6.
Feng, Junjie, et al.. (2024). External Risk Assessment for Substations Based on Single and Superimposed Anomaly Risks. IEEE Access. 12. 159202–159213.
7.
Feng, Junjie, Lei Jia, Weilun Pan, et al.. (2023). Rapid and efficient fluorescent aptasensor for PD-L1 positive extracellular vesicles isolation and analysis: EV-ANCHOR. Chemical Engineering Journal. 465. 142811–142811. 15 indexed citations
8.
Liu, Chunchen, Huixian Lin, Jingyun Guo, et al.. (2023). Profiling of single-vesicle surface proteins via droplet digital immuno-PCR for multi-subpopulation extracellular vesicles counting towards cancer diagnostics. Chemical Engineering Journal. 471. 144364–144364. 18 indexed citations
9.
10.
Feng, Junjie, Bo Situ, Rienk Nieuwland, et al.. (2022). Rapid and efficient isolation platform for plasma extracellular vesicles: EV‐FISHER. Journal of Extracellular Vesicles. 11(11). e12281–e12281. 32 indexed citations
11.
Liu, Chunchen, Bo Li, Huixian Lin, et al.. (2021). Multiplexed analysis of small extracellular vesicle-derived mRNAs by droplet digital PCR and machine learning improves breast cancer diagnosis. Biosensors and Bioelectronics. 194. 113615–113615. 45 indexed citations
12.
Li, Bo, Chunchen Liu, Weilun Pan, et al.. (2020). Facile fluorescent aptasensor using aggregation-induced emission luminogens for exosomal proteins profiling towards liquid biopsy. Biosensors and Bioelectronics. 168. 112520–112520. 77 indexed citations
13.
Li, Shaohua, et al.. (2017). Mesenchymal circulating tumor cells (CTCs) and OCT4 mRNA expression in CTCs for prognosis prediction in patients with non-small-cell lung cancer. Clinical & Translational Oncology. 19(9). 1147–1153. 23 indexed citations
14.
Feng, Junjie, et al.. (2016). Cytological characteristics and application of MIN6 cell line. 36(2). 135–138. 1 indexed citations
15.
Wang, D., Michael Goldstein, Peter B. Alexander, et al.. (2014). Rad17 recruits the MRE11-RAD50-NBS1 complex to regulate the cellular response to DNA double-strand breaks. The EMBO Journal. 33(8). 862–877. 69 indexed citations
16.
Tao, Shasha, Zhong Wang, Junjie Feng, et al.. (2012). A genome-wide search for loci interacting with known prostate cancer risk-associated genetic variants. Carcinogenesis. 33(3). 598–603. 31 indexed citations
17.
Wakeman, Timothy P., Qinhong Wang, Junjie Feng, & Xiao‐Fan Wang. (2012). Bat3 facilitates H3K79 dimethylation by DOT1L and promotes DNA damage‐induced 53BP1 foci at G1/G2 cell‐cycle phases. The EMBO Journal. 31(9). 2169–2181. 89 indexed citations
18.
Tao, Shasha, Junjie Feng, T. Preston Webster, et al.. (2012). Genome-wide two-locus epistasis scans in prostate cancer using two European populations. Human Genetics. 131(7). 1225–1234. 8 indexed citations
19.
Zayas, Ricardo M., Francesc Cebrià, Tingxia Guo, Junjie Feng, & Phillip A. Newmark. (2010). The use of lectins as markers for differentiated secretory cells in planarians. Developmental Dynamics. 239(11). 2888–2897. 43 indexed citations
20.
Guo, Jessie Yanxiang, Ayumi Yamada, Taisuke Kajino, et al.. (2008). Aven-Dependent Activation of ATM Following DNA Damage. Current Biology. 18(13). 933–942. 41 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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