Feng Jin

3.4k total citations
88 papers, 2.6k citations indexed

About

Feng Jin is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Feng Jin has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 15 papers in Plant Science and 11 papers in Cell Biology. Recurrent topics in Feng Jin's work include Fungal and yeast genetics research (16 papers), Medicinal Plant Pharmacodynamics Research (6 papers) and RNA Research and Splicing (6 papers). Feng Jin is often cited by papers focused on Fungal and yeast genetics research (16 papers), Medicinal Plant Pharmacodynamics Research (6 papers) and RNA Research and Splicing (6 papers). Feng Jin collaborates with scholars based in China, Japan and United States. Feng Jin's co-authors include Jingshan Shi, Qihai Gong, Hai Jin, Qin Wu, Nanqu Huang, Katsuhiko Kitamoto, Yuan‐Fu Lu, Shaoyu Zhou, Praveen R. Juvvadi and Manabu Arioka and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Feng Jin

86 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Jin China 27 1.4k 555 408 381 230 88 2.6k
Long Chen China 34 1.7k 1.2× 259 0.5× 356 0.9× 287 0.8× 173 0.8× 127 3.9k
Qinglin Li China 31 1.7k 1.2× 347 0.6× 296 0.7× 341 0.9× 201 0.9× 86 3.3k
Hyun Ok Yang South Korea 30 1.1k 0.8× 415 0.7× 318 0.8× 226 0.6× 211 0.9× 95 2.4k
Chao Guo China 38 2.4k 1.8× 531 1.0× 298 0.7× 505 1.3× 634 2.8× 162 4.6k
Won Sik Eum South Korea 30 1.5k 1.1× 201 0.4× 313 0.8× 175 0.5× 201 0.9× 119 2.6k
Zhenhua Wang China 30 1.4k 1.0× 213 0.4× 378 0.9× 250 0.7× 427 1.9× 105 2.9k
Gph Leung Hong Kong 36 1.9k 1.4× 516 0.9× 487 1.2× 426 1.1× 117 0.5× 158 4.4k
Nou-Ying Tang Taiwan 29 989 0.7× 496 0.9× 175 0.4× 365 1.0× 372 1.6× 47 2.5k
Jing Shi China 33 1.3k 1.0× 233 0.4× 433 1.1× 449 1.2× 409 1.8× 101 2.7k
Hong Sung Chun South Korea 28 1.2k 0.9× 248 0.4× 304 0.7× 232 0.6× 333 1.4× 76 2.7k

Countries citing papers authored by Feng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jin. A scholar is included among the top collaborators of Feng Jin 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 Feng Jin. Feng Jin 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.
Jin, Feng, Liu Zhang, Lei Shi, et al.. (2025). Stretchable Strain Sensors Based on Liquid Metal Channels with Simultaneous Significant Improvements in Linearity and Sensitivity. Advanced Functional Materials. 36(12).
2.
Yu, Hao, et al.. (2023). A signature of cuproptosis-related lncRNAs predicts prognosis and provides basis for future anti-tumor drug development in breast cancer. Translational Cancer Research. 12(6). 1392–1410. 6 indexed citations
3.
Yang, Ruoyu, Feng Jin, Liyan Wang, et al.. (2021). Prediction and Identification of Power Performance Using Polygenic Models of Three Single-Nucleotide Polymorphisms in Chinese Elite Athletes. Frontiers in Genetics. 12. 726552–726552. 10 indexed citations
4.
Peng, Haidong, et al.. (2020). Exploring the Pathological Role of Collagen in Paravertebral Muscle in the Progression of Idiopathic Scoliosis. BioMed Research International. 2020(1). 1527403–1527403. 3 indexed citations
5.
Han, Peipei, Xin Yu, Peiyu Song, et al.. (2020). The Predictive Value of Sarcopenia and its Individual Criteria for Cardiovascular and All-Cause Mortality in Suburb-Dwelling Older Chinese. The journal of nutrition health & aging. 24(7). 765–771. 26 indexed citations
6.
Fu, Xiaolong, et al.. (2018). Stimulatory effect of icariin on the proliferation of neural stem cells from rat hippocampus. BMC Complementary and Alternative Medicine. 18(1). 34–34. 30 indexed citations
7.
Zhang, Ying, Nanqu Huang, Hai Jin, et al.. (2017). Diabetes mellitus and Alzheimer’s disease: GSK-3β as a potential link. Behavioural Brain Research. 339. 57–65. 230 indexed citations
8.
Shao, Xiaojian, Dan Gao, Yini Wang, et al.. (2016). Application of metabolomics to investigate the antitumor mechanism of flavopiridol in MCF-7 breast cancer cells. Journal of Chromatography B. 1025. 40–47. 25 indexed citations
9.
Li, Fei, et al.. (2016). Icariin, a major constituent from Epimedium brevicornum, attenuates ibotenic acid-induced excitotoxicity in rat hippocampus. Behavioural Brain Research. 313. 111–119. 34 indexed citations
10.
Li, Xiaobai, Feng Jin, Liang Jin, et al.. (2015). Characterization and comparative profiling of the small RNA transcriptomes in two phases of flowering in Cymbidium ensifolium. BMC Genomics. 16(1). 622–622. 24 indexed citations
11.
12.
Nakamura, Hidetoshi, Takashi Kikuma, Feng Jin, Jun‐ichi Maruyama, & Katsuhiko Kitamoto. (2015). AoRim15 is involved in conidial stress tolerance, conidiation and sclerotia formation in the filamentous fungus Aspergillus oryzae. Journal of Bioscience and Bioengineering. 121(4). 365–371. 11 indexed citations
13.
Jin, Feng. (2014). Influences of needling chorea-tremble controlled zone on expressions of dopaminergic neurons and BDNF in mice with Parkinson's disease. Journal of Beijing University of Traditional Chinese Medicine. 2 indexed citations
14.
Jin, Feng, Qihai Gong, Ya-Sha Xu, et al.. (2014). Icariin, a phoshphodiesterase-5 inhibitor, improves learning and memory in APP/PS1 transgenic mice by stimulation of NO/cGMP signalling. The International Journal of Neuropsychopharmacology. 17(6). 871–881. 110 indexed citations
15.
Li, Xiaobai, Feng Jin, Liang Jin, et al.. (2014). Development of Cymbidium ensifoliumgenic-SSR markers and their utility in genetic diversity and population structure analysis in cymbidiums. BMC Genetics. 15(1). 124–124. 25 indexed citations
16.
Li, Xiaobai, Jie Luo, Tianlian Yan, et al.. (2013). Deep Sequencing-Based Analysis of the Cymbidium ensifolium Floral Transcriptome. PLoS ONE. 8(12). e85480–e85480. 60 indexed citations
17.
Jin, Feng, et al.. (2013). Efficient formation of heterokaryotic sclerotia in the filamentous fungus Aspergillus oryzae. Applied Microbiology and Biotechnology. 98(1). 325–334. 20 indexed citations
18.
Hara, Seiichi, Feng Jin, Tadashi Takahashi, & Yasuji Koyama. (2011). A further study on chromosome minimization by protoplast fusion in Aspergillus oryzae. Molecular Genetics and Genomics. 287(2). 177–187. 14 indexed citations
19.
Jin, Feng, et al.. (2009). A trial of minimization of chromosome 7 in Aspergillus oryzae by multiple chromosomal deletions. Molecular Genetics and Genomics. 283(1). 1–12. 9 indexed citations
20.
Takahashi, Tadashi, Feng Jin, & Yasuji Koyama. (2009). Nonhomologous end-joining deficiency allows large chromosomal deletions to be produced by replacement-type recombination in Aspergillus oryzae. Fungal Genetics and Biology. 46(11). 815–824. 17 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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