Feng Jin

2.0k total citations
55 papers, 1.3k citations indexed

About

Feng Jin is a scholar working on Molecular Biology, Aerospace Engineering and Cancer Research. According to data from OpenAlex, Feng Jin has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Aerospace Engineering and 10 papers in Cancer Research. Recurrent topics in Feng Jin's work include Advanced SAR Imaging Techniques (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers) and Radar Systems and Signal Processing (5 papers). Feng Jin is often cited by papers focused on Advanced SAR Imaging Techniques (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (7 papers) and Radar Systems and Signal Processing (5 papers). Feng Jin collaborates with scholars based in China, United States and Netherlands. Feng Jin's co-authors include Joseph D. Fondell, Qi Dai, Wei Hong, Laurie J. Custer, Wanqing Wen, Xiaocui Li, Fu‐Ju Tian, Wei Zheng, Adrian A. Franke and X-O Shu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Feng Jin

52 papers receiving 1.2k 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 19 675 240 200 189 139 55 1.3k
Jing Ma China 23 656 1.0× 201 0.8× 99 0.5× 233 1.2× 93 0.7× 73 1.4k
Jonathan F. Head United States 25 508 0.8× 257 1.1× 89 0.4× 371 2.0× 90 0.6× 69 1.7k
Zhenhua Li China 21 680 1.0× 338 1.4× 73 0.4× 109 0.6× 50 0.4× 112 1.3k
Liping Han China 19 785 1.2× 129 0.5× 51 0.3× 269 1.4× 76 0.5× 47 1.3k
Vijayalakshmi Sridharan United States 25 860 1.3× 187 0.8× 74 0.4× 107 0.6× 161 1.2× 65 1.9k
Ryo Koyama Japan 14 516 0.8× 57 0.2× 183 0.9× 177 0.9× 64 0.5× 64 1.1k
Alessandra Bertoni Italy 22 955 1.4× 126 0.5× 82 0.4× 180 1.0× 199 1.4× 44 2.0k
K. Yanagida Japan 24 1.3k 1.9× 102 0.4× 60 0.3× 156 0.8× 39 0.3× 87 1.9k
Daniel L. Galvan United States 20 1.4k 2.1× 342 1.4× 68 0.3× 125 0.7× 233 1.7× 32 2.0k
Adam Coffman United States 7 937 1.4× 320 1.3× 98 0.5× 184 1.0× 211 1.5× 11 1.6k

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.
Lahiri, Satadru K., Feng Jin, Yue Zhou, et al.. (2024). Altered myocardial lipid regulation in junctophilin-2–associated familial cardiomyopathies. Life Science Alliance. 7(5). e202302330–e202302330. 3 indexed citations
2.
Jin, Feng, Zhongyu Wang, Bingjie Li, et al.. (2024). MicroRNAs: A novel signature in the metastasis of esophageal squamous cell carcinoma. World Journal of Gastroenterology. 30(11). 1497–1523. 6 indexed citations
3.
Yu, Xin, Dong Lu, Xiaoli Qi, et al.. (2024). Development of a RIPK1 degrader to enhance antitumor immunity. Nature Communications. 15(1). 10683–10683. 10 indexed citations
4.
Chen, Bing, Shuting Liu, Feng Jin, et al.. (2024). Efficacy of acupuncture-related therapy in the treatment of primary dysmenorrhea: A network meta-analysis of randomized controlled trials. Heliyon. 10(10). e30912–e30912. 2 indexed citations
5.
Xiong, Wen, Feng Jin, Lisheng Deng, et al.. (2023). Oleoylethanolamide facilitates PPARα and TFEB signaling and attenuates Aβ pathology in a mouse model of Alzheimer’s disease. Molecular Neurodegeneration. 18(1). 56–56. 20 indexed citations
6.
Propson, Nicholas E., et al.. (2023). Complement C3aR depletion reverses HIF-1α–induced metabolic impairment and enhances microglial response to Aβ pathology. Journal of Clinical Investigation. 133(12). 41 indexed citations
7.
Braggio, Danielle, Feng Jin, Abeba Zewdu, et al.. (2022). Preclinical efficacy of the Wnt/β-catenin pathway inhibitor BC2059 for the treatment of desmoid tumors. PLoS ONE. 17(10). e0276047–e0276047. 12 indexed citations
8.
Yu, Xin, Wenhao Guo, Hanfeng Lin, et al.. (2022). Discovery of a potent BTK and IKZF1/3 triple degrader through reversible covalent BTK PROTAC development. SHILAP Revista de lepidopterología. 2. 100029–100029. 15 indexed citations
9.
Du, Shuqi, Feng Jin, Laure Maneix, et al.. (2021). FoxO3 deficiency in cortical astrocytes leads to impaired lipid metabolism and aggravated amyloid pathology. Aging Cell. 20(8). e13432–e13432. 31 indexed citations
10.
Wang, Lingfei, Feng Jin, Xiqian Jiang, et al.. (2021). Fluorescent Probes and Mass Spectrometry-Based Methods to Quantify Thiols in Biological Systems. Antioxidants and Redox Signaling. 36(4-6). 354–365. 5 indexed citations
11.
Jiao, Li, Suman Kumar Maity, Cristian Coarfa, et al.. (2019). A Prospective Targeted Serum Metabolomics Study of Pancreatic Cancer in Postmenopausal Women. Cancer Prevention Research. 12(4). 237–246. 16 indexed citations
12.
Liu, Yuzhu, et al.. (2018). Electronic structure and Physical Characteristics of Dioxin under External Electric Field. Cmc-computers Materials & Continua. 55(1). 165–165. 1 indexed citations
13.
Mishra, Prachi, Wei Tang, Vasanta Putluri, et al.. (2017). ADHFE1 is a breast cancer oncogene and induces metabolic reprogramming. Journal of Clinical Investigation. 128(1). 323–340. 65 indexed citations
14.
Liu, Yuzhu, et al.. (2016). Multiphoton ionization and dissociation dynamics of Freon-113 induced by femtosecond laser pulse. Acta Physica Sinica. 65(5). 53302–53302. 5 indexed citations
15.
Jin, Feng, Shazia Irshad, Wei Yü, et al.. (2013). ERK and AKT Signaling Drive MED1 Overexpression in Prostate Cancer in Association with Elevated Proliferation and Tumorigenicity. Molecular Cancer Research. 11(7). 736–747. 30 indexed citations
16.
Jin, Feng, Frank Claessens, & Joseph D. Fondell. (2011). Regulation of Androgen Receptor-dependent Transcription by Coactivator MED1 Is Mediated through a Newly Discovered Noncanonical Binding Motif. Journal of Biological Chemistry. 287(2). 858–870. 26 indexed citations
17.
Zhu, Jun, Caigang Liu, Ruishan Zhang, et al.. (2009). Relationship between nestin expression and other clinicopathological factors in breast cancer.. 4(11). 622–625. 1 indexed citations
18.
Jin, Feng & Joseph D. Fondell. (2009). A novel androgen receptor-binding element modulates Cdc6 transcription in prostate cancer cells during cell-cycle progression. Nucleic Acids Research. 37(14). 4826–4838. 38 indexed citations
19.
Zheng, Weidong, Ze Yang, Chenguang Zheng, et al.. (2004). A Genetic Association Study between the Cardiovascular Risk Factor and Late-onset Alzheimer Disease in Guangxi Han Chinese. 11(2). 68–71. 2 indexed citations
20.
Zheng, Wei, Qi Dai, Laurie J. Custer, et al.. (1999). Urinary excretion of isoflavonoids and the risk of breast cancer.. PubMed. 8(1). 35–40. 174 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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