Fei Hu

3.4k total citations · 1 hit paper
48 papers, 2.0k citations indexed

About

Fei Hu is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fei Hu has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Biomedical Engineering and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fei Hu's work include Neuroscience and Neuropharmacology Research (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Biosensors and Analytical Detection (7 papers). Fei Hu is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Biosensors and Analytical Detection (7 papers). Fei Hu collaborates with scholars based in China, United States and France. Fei Hu's co-authors include Minmin Luo, Qiru Feng, Jingfeng Zhou, Niancai Peng, Shuhao Zhao, Zhixiang Liu, Daqing Wang, Yi Li, Jiawei Zeng and Jing Ren and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fei Hu

47 papers receiving 2.0k citations

Hit Papers

A one-pot CRISPR/Cas13a-based contamination-free biosenso... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Hu China 20 962 928 576 293 195 48 2.0k
Tobias M. Böckers Germany 36 1.3k 1.3× 1.0k 1.1× 355 0.6× 353 1.2× 270 1.4× 85 3.2k
Sarah Parylak United States 17 1.3k 1.3× 709 0.8× 282 0.5× 341 1.2× 118 0.6× 20 2.5k
Xiaoke Chen United States 19 591 0.6× 748 0.8× 486 0.8× 429 1.5× 219 1.1× 37 2.3k
Jennifer Rodger Australia 34 1.0k 1.1× 1.4k 1.5× 1.0k 1.8× 318 1.1× 72 0.4× 172 3.9k
Elizabeth M. Powell United States 26 753 0.8× 1.2k 1.3× 771 1.3× 138 0.5× 145 0.7× 52 2.8k
Andrii Rudenko United States 16 832 0.9× 1.1k 1.2× 960 1.7× 206 0.7× 96 0.5× 21 2.7k
Wulf Hevers Germany 18 1.3k 1.3× 953 1.0× 281 0.5× 205 0.7× 70 0.4× 23 2.1k
Brian Lee United States 24 939 1.0× 1.5k 1.6× 719 1.2× 93 0.3× 110 0.6× 52 2.4k
Inés Ibáñez-Tallon United States 28 1.9k 1.9× 1.1k 1.2× 279 0.5× 118 0.4× 182 0.9× 47 3.2k
Alan M. Smith United States 18 1.6k 1.7× 1.1k 1.2× 455 0.8× 167 0.6× 101 0.5× 26 3.4k

Countries citing papers authored by Fei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Hu. A scholar is included among the top collaborators of Fei Hu 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 Fei Hu. Fei Hu 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.
Han, Feng, Qi Mao, Zhaochu Yang, et al.. (2025). Cutting-edge RNA quantitative detection methods for rapid and on-site analysis. TrAC Trends in Analytical Chemistry. 190. 118274–118274. 2 indexed citations
2.
Zhang, Mengying, Fei Hu, Kaixuan Zhang, et al.. (2024). Melatonin attenuates intermittent hypoxia-induced cognitive impairment in aged mice: The role of inflammation and synaptic plasticity. Psychoneuroendocrinology. 171. 107210–107210. 1 indexed citations
3.
Wang, Xiaoqin, Yingtao Jiang, Shuhao Zhao, et al.. (2024). A miniaturized RPA-CRISPR/Cas12a-based nucleic acid diagnostic platform for rapid and simple self-testing of SARS-CoV-2. Analytica Chimica Acta. 1338. 343593–343593. 7 indexed citations
4.
Guo, Jianping, Jian Zhang, Tianmeng Chen, et al.. (2024). A merged continental planetary boundary layer height dataset based on high-resolution radiosonde measurements, ERA5 reanalysis, and GLDAS. Earth system science data. 16(1). 1–14. 13 indexed citations
6.
Hu, Fei & Yang Dan. (2021). An inferior-superior colliculus circuit controls auditory cue-directed visual spatial attention. Neuron. 110(1). 109–119.e3. 22 indexed citations
7.
Hu, Fei, et al.. (2021). High fat suppresses SOD1 activity by reducing copper chaperone for SOD1 associated with neurodegeneration and memory decline. Life Sciences. 272. 119243–119243. 12 indexed citations
8.
Gao, Mei‐Mei, Fei Hu, Huiling Tang, et al.. (2020). Hypothalamic proteome changes in response to nicotine and its withdrawal are potentially associated with alteration in body weight. Journal of Proteomics. 214. 103633–103633. 15 indexed citations
9.
Jiang, Wei, Haibin Xia, Fei Hu, et al.. (2020). FMRP-absence-induced up-regulation of hypothalamic MAP1B expression decreases AgRP level linking with reduces in food intake and body weight. Neurochemistry International. 140. 104847–104847. 9 indexed citations
10.
Hu, Fei, et al.. (2019). Prefrontal Corticotectal Neurons Enhance Visual Processing through the Superior Colliculus and Pulvinar Thalamus. Neuron. 104(6). 1141–1152.e4. 54 indexed citations
11.
Hu, Fei, et al.. (2019). Knockdown of TRB3 improved the MPP+/MPTP-induced Parkinson’s disease through the MAPK and AKT signaling pathways. Neuroscience Letters. 709. 134352–134352. 8 indexed citations
12.
Zhang, Zhe, Peng Zhong, Fei Hu, et al.. (2019). An Excitatory Circuit in the Perioculomotor Midbrain for Non-REM Sleep Control. Cell. 177(5). 1293–1307.e16. 45 indexed citations
13.
Liu, Shujing, Wenqi Yang, Fei Hu, et al.. (2018). Long-term moderate exercise enhances specific proteins that constitute neurotrophin signaling pathway: A TMT-based quantitative proteomic analysis of rat plasma. Journal of Proteomics. 185. 39–50. 19 indexed citations
14.
Zhao, Zhe, Liang Wang, Fei Hu, et al.. (2017). A Central Catecholaminergic Circuit Controls Blood Glucose Levels during Stress. Neuron. 95(1). 138–152.e5. 59 indexed citations
16.
Li, Yi, Weixin Zhong, Daqing Wang, et al.. (2016). Serotonin neurons in the dorsal raphe nucleus encode reward signals. Nature Communications. 7(1). 10503–10503. 313 indexed citations
17.
Liang, Gaofeng, Yunkai Zhu, Aihua Jing, et al.. (2016). Cationic microRNA-delivering nanocarriers for efficient treatment of colon carcinoma in xenograft model. Gene Therapy. 23(12). 829–838. 60 indexed citations
18.
Chu, Li, Juemin Fang, Chunyan Li, et al.. (2015). The Traditional Chinese Medicinal Formula BDL301 Suppresses Tumor Growth by Inhibiting STAT3 Pathway and Inducing Apoptosis in Colorectal Cancer Cells. DNA and Cell Biology. 34(3). 178–188. 9 indexed citations
19.
Soria‐Gómez, Edgar, Arnau Busquets-García, Fei Hu, et al.. (2015). Habenular CB1 Receptors Control the Expression of Aversive Memories. Neuron. 88(2). 306–313. 80 indexed citations
20.
Liu, Zhixiang, Jingfeng Zhou, Yi Li, et al.. (2014). Dorsal Raphe Neurons Signal Reward through 5-HT and Glutamate. Neuron. 81(6). 1360–1374. 350 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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