Jin‐Feng Teng

677 total citations · 1 hit paper
8 papers, 555 citations indexed

About

Jin‐Feng Teng is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Jin‐Feng Teng has authored 8 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Jin‐Feng Teng's work include Autophagy in Disease and Therapy (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Jin‐Feng Teng is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Jin‐Feng Teng collaborates with scholars based in China and Macao. Jin‐Feng Teng's co-authors include Jianming Wu, Wenqiao Qiu, Yong Tang, Dalian Qin, Chong‐Lin Yu, Rui Xiong, Anguo Wu, Rong Pan, Betty Yuen Kwan Law and Vincent Kam Wai Wong and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Journal of Ethnopharmacology.

In The Last Decade

Jin‐Feng Teng

8 papers receiving 555 citations

Hit Papers

Polyphyllin VI Induces Caspase-1-Mediated Pyroptosis via ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Feng Teng China 7 394 90 77 67 56 8 555
Rui Xiong China 8 400 1.0× 93 1.0× 77 1.0× 70 1.0× 56 1.0× 15 568
Yumeng Miao China 12 327 0.8× 67 0.7× 115 1.5× 46 0.7× 47 0.8× 16 594
Yong Su China 15 365 0.9× 91 1.0× 42 0.5× 59 0.9× 40 0.7× 36 665
Lianpin Wu China 16 567 1.4× 99 1.1× 71 0.9× 55 0.8× 46 0.8× 41 886
Bing Cao China 14 269 0.7× 39 0.4× 42 0.5× 93 1.4× 71 1.3× 44 569
Shakir Saleem India 14 368 0.9× 57 0.6× 59 0.8× 43 0.6× 46 0.8× 34 731
Pei Zhao China 16 315 0.8× 82 0.9× 62 0.8× 53 0.8× 49 0.9× 38 594
Guozhu Han China 13 294 0.7× 41 0.5× 52 0.7× 66 1.0× 27 0.5× 33 610
Wenge Huang China 14 267 0.7× 54 0.6× 96 1.2× 49 0.7× 20 0.4× 33 658

Countries citing papers authored by Jin‐Feng Teng

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Feng Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Feng Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Feng Teng. A scholar is included among the top collaborators of Jin‐Feng Teng 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 Jin‐Feng Teng. Jin‐Feng Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Zhou, Xiaogang, Wenqiao Qiu, Lu Yu, et al.. (2022). Targeting microglial autophagic degradation of the NLRP3 inflammasome for identification of thonningianin A in Alzheimer’s disease. Inflammation and Regeneration. 42(1). 25–25. 35 indexed citations
2.
Xiong, Rui, Xiuling Wang, Jianming Wu, et al.. (2020). Polyphenols isolated from lychee seed inhibit Alzheimer's disease-associated Tau through improving insulin resistance via the IRS-1/PI3K/Akt/GSK-3β pathway. Journal of Ethnopharmacology. 251. 112548–112548. 66 indexed citations
4.
Teng, Jin‐Feng, Qibing Mei, Xiaogang Zhou, et al.. (2020). Polyphyllin VI Induces Caspase-1-Mediated Pyroptosis via the Induction of ROS/NF-κB/NLRP3/GSDMD Signal Axis in Non-Small Cell Lung Cancer. Cancers. 12(1). 193–193. 264 indexed citations breakdown →
5.
Wu, Anguo, Wenqiao Qiu, Jin‐Feng Teng, et al.. (2019). SMU‐A inhibits Aβ‐induced NLRP3 inflammasome via autophagy mediated by the AMPK/ULK1 and Raf/MEK/ERK pathways in microglia. The FASEB Journal. 33(S1). 1 indexed citations
6.
Teng, Jin‐Feng, Dalian Qin, Qibing Mei, et al.. (2019). Polyphyllin VI, a saponin from Trillium tschonoskii Maxim. induces apoptotic and autophagic cell death via the ROS triggered mTOR signaling pathway in non-small cell lung cancer. Pharmacological Research. 147. 104396–104396. 72 indexed citations
7.
Wu, Anguo, Jin‐Feng Teng, Vincent Kam Wai Wong, et al.. (2019). Novel steroidal saponin isolated from Trillium tschonoskii maxim. exhibits anti-oxidative effect via autophagy induction in cellular and Caenorhabditis elegans models. Phytomedicine. 65. 153088–153088. 25 indexed citations
8.
Tang, Yong, Rui Xiong, Chong‐Lin Yu, et al.. (2018). Polyphenols Derived from Lychee Seed Suppress Aβ (1-42)-Induced Neuroinflammation. International Journal of Molecular Sciences. 19(7). 2109–2109. 35 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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