Fei Hong

487 total citations
28 papers, 400 citations indexed

About

Fei Hong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Fei Hong has authored 28 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Materials Chemistry. Recurrent topics in Fei Hong's work include Neurobiology and Insect Physiology Research (7 papers), Luminescence Properties of Advanced Materials (6 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). Fei Hong is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Luminescence Properties of Advanced Materials (6 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). Fei Hong collaborates with scholars based in China, United States and South Korea. Fei Hong's co-authors include Irwin B. Levitan, Liqun Zhou, Mohammad Shahidullah, Yi Zhou, Heather E. Murrey, Jiaming Zhang, Udai Bhan Pandey, Sylvain J. Le Marchand, Piera Pasinelli and Geoffrey Childs and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Hepatology.

In The Last Decade

Fei Hong

27 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Hong China 14 177 94 80 46 38 28 400
Guocheng Yang Canada 11 358 2.0× 167 1.8× 74 0.9× 52 1.1× 42 1.1× 16 670
Joel S. Tabb United States 9 428 2.4× 115 1.2× 87 1.1× 36 0.8× 28 0.7× 11 725
Mohammed Akbar United States 9 193 1.1× 57 0.6× 49 0.6× 13 0.3× 8 0.2× 15 521
Raffaella Magrassi Italy 13 282 1.6× 92 1.0× 57 0.7× 8 0.2× 33 0.9× 24 606
Oliver I. Wagner Taiwan 14 326 1.8× 139 1.5× 59 0.7× 40 0.9× 5 0.1× 24 724
Michael J. Francis United Kingdom 12 246 1.4× 49 0.5× 20 0.3× 39 0.8× 3 0.1× 14 495
Chase P. Kelley United States 7 323 1.8× 99 1.1× 11 0.1× 34 0.7× 9 0.2× 9 431
Olga Woźnicka Poland 14 227 1.3× 75 0.8× 108 1.4× 10 0.2× 4 0.1× 39 579
Todd Blute United States 15 411 2.3× 191 2.0× 61 0.8× 17 0.4× 14 0.4× 20 660
Yusuke Sakiyama Japan 14 348 2.0× 155 1.6× 29 0.4× 66 1.4× 17 0.4× 46 638

Countries citing papers authored by Fei Hong

Since Specialization
Citations

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

Fields of papers citing papers by Fei Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Hong. A scholar is included among the top collaborators of Fei Hong 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 Hong. Fei Hong 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.
Xu, Xiaojin, et al.. (2024). Transcriptomic analysis of Vibrio alginolyticus challenged by Rhizoma coptidis reveals mechanisms of virulence genes. Gene. 905. 148188–148188. 4 indexed citations
2.
3.
Zhu, Mei‐Jun, et al.. (2023). Significance of the determination of DNA load of drug-resistant mycoplasma pneumoniae and 23sRNA gene mutation locus in children. Tropical Journal of Pharmaceutical Research. 22(4). 841–846. 1 indexed citations
4.
Gao, Dandan, Rui Liu, Yuandong Feng, et al.. (2023). A novel ferroptosis-related gene signature for predicting prognosis in multiple myeloma. Frontiers in Oncology. 13. 999688–999688. 15 indexed citations
5.
Restrepo, Lucas, et al.. (2022). γ-secretase promotes Drosophila postsynaptic development through the cleavage of a Wnt receptor. Developmental Cell. 57(13). 1643–1660.e7. 17 indexed citations
6.
Hong, Fei, et al.. (2022). Neuromorphic Similarity Measurement of Tactile Stimuli in Human–Machine Interface. IEEE Transactions on Multimedia. 25. 6436–6445. 4 indexed citations
7.
Hong, Fei, Xiaofei Shang, Bing Li, et al.. (2018). New life for an old drug: In vitro and in vivo effects of the anthelmintic drug niclosamide against Toxoplasma gondii RH strain. International Journal for Parasitology Drugs and Drug Resistance. 9. 27–34. 31 indexed citations
8.
Huang, Jingwei, Muhammad Ehsan, Shuai Wang, et al.. (2018). Protective immunity against Eimeria maxima induced by vaccines of Em14-3-3 antigen. Veterinary Parasitology. 253. 79–86. 20 indexed citations
9.
Shahidullah, Mohammad, Sylvain J. Le Marchand, Fei Hong, et al.. (2013). Defects in Synapse Structure and Function Precede Motor Neuron Degeneration inDrosophilaModels of FUS-Related ALS. Journal of Neuroscience. 33(50). 19590–19598. 62 indexed citations
10.
Zhou, Liqun, et al.. (2013). EDTA-assisted hydrothermal synthesis, characterization, and luminescent properties of YPO 4 · n H 2 O:Eu 3+ ( n = 0, 0.8) microflakes and microbundles. Materials Science and Engineering B. 178(16). 1012–1018. 8 indexed citations
11.
Shahidullah, Mohammad, et al.. (2009). In VivoRole of a Potassium Channel-Binding Protein in Regulating Neuronal Excitability and Behavior. Journal of Neuroscience. 29(42). 13328–13337. 14 indexed citations
12.
Gao, Lei, et al.. (2008). Drosophila Ortholog of Succinyl-CoA Synthetase β Subunit: A Novel Modulator of Drosophila KCNQ Channels. Journal of Neurophysiology. 99(5). 2736–2740. 2 indexed citations
13.
Zeng, Haoyu, Thomas Weiger, Fei Hong, & Irwin B. Levitan. (2006). Mechanisms of Two Modulatory Actions of the Channel-binding Protein Slob on the Drosophila Slowpoke Calcium-dependent Potassium Channel. The Journal of General Physiology. 128(5). 583–591. 4 indexed citations
14.
Hong, Fei, et al.. (2005). Starvation affects vitellogenin production but not vitellogenin mRNA levels in the lubber grasshopper, Romalea microptera. Journal of Insect Physiology. 51(4). 435–443. 29 indexed citations
15.
Zeng, Haoyu, et al.. (2005). Expression and Function of Variants of Slob, Slowpoke Channel Binding Protein, inDrosophila. Journal of Neurophysiology. 95(3). 1957–1965. 8 indexed citations
16.
Cibulsky, Susan M., Fei Hong, & Irwin B. Levitan. (2004). Syntaxin-1A Binds to and Modulates the Slo Calcium-Activated Potassium Channel via an Interaction That Excludes Syntaxin Binding to Calcium Channels. Journal of Neurophysiology. 93(3). 1393–1405. 16 indexed citations
17.
Zhou, Yi, Fei Hong, & Irwin B. Levitan. (2003). An interaction domain in Slob necessary for its binding to the slowpoke calcium-dependent potassium channel. Neuropharmacology. 45(6). 714–719. 8 indexed citations
18.
Zhou, Yi, et al.. (2003). Monomeric 14-3-3 Protein Is Sufficient to Modulate the Activity of the Drosophila Slowpoke Calcium-dependent Potassium Channel. Journal of Biological Chemistry. 278(12). 10073–10080. 46 indexed citations
19.
20.
Hong, Fei & Geoffrey Childs. (1993). Temporal Embryonic Expression of the Sea Urchin Early H1 Gene Is Controlled by Sequences Immediately Upstream and Downstream of the TATA Element. Developmental Biology. 155(2). 383–395. 15 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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