Jun Fu

455 total citations
23 papers, 305 citations indexed

About

Jun Fu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Jun Fu has authored 23 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Jun Fu's work include Hereditary Neurological Disorders (8 papers), Genetic Neurodegenerative Diseases (7 papers) and Neurological diseases and metabolism (3 papers). Jun Fu is often cited by papers focused on Hereditary Neurological Disorders (8 papers), Genetic Neurodegenerative Diseases (7 papers) and Neurological diseases and metabolism (3 papers). Jun Fu collaborates with scholars based in China and United States. Jun Fu's co-authors include Yun Yuan, Ming Dong, Liang Zhao, Xia Wu, Liangliang Cao, Zhenyu Xu, Hong Wang, Mingming Ma, Jia Song and He Lv and has published in prestigious journals such as Biosensors and Bioelectronics, Journal of Neurology and Frontiers in Genetics.

In The Last Decade

Jun Fu

22 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Fu China 9 194 78 54 47 39 23 305
Juliana M. Coelho‐Aguiar Brazil 9 194 1.0× 36 0.5× 47 0.9× 19 0.4× 23 0.6× 11 389
Ara Kaprelyan Bulgaria 7 144 0.7× 57 0.7× 31 0.6× 20 0.4× 9 0.2× 36 263
Cathrin J. Czupalla Germany 7 184 0.9× 35 0.4× 42 0.8× 16 0.3× 44 1.1× 8 452
Huixian Hong United States 11 163 0.8× 34 0.4× 27 0.5× 27 0.6× 7 0.2× 14 317
Takahiro Kano Japan 9 118 0.6× 49 0.6× 44 0.8× 123 2.6× 6 0.2× 31 293
Marina Cardano Italy 9 183 0.9× 32 0.4× 37 0.7× 30 0.6× 46 1.2× 14 341
Ivana Dabaj France 11 256 1.3× 40 0.5× 18 0.3× 15 0.3× 29 0.7× 27 386
Trevor J. McFarland United States 14 364 1.9× 65 0.8× 93 1.7× 6 0.1× 17 0.4× 26 557
Jered V. McGivern United States 10 423 2.2× 68 0.9× 11 0.2× 47 1.0× 77 2.0× 12 540

Countries citing papers authored by Jun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fu. A scholar is included among the top collaborators of Jun Fu 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 Jun Fu. Jun Fu 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.
Chen, Lingling, Jun Fu, Jiani Zhang, et al.. (2023). Factors influencing willingness to participate in ophthalmic clinical trials and strategies for effective recruitment. International Journal of Ophthalmology. 17(1). 157–163.
2.
Zhao, Liang, Hong Wang, Jun Fu, et al.. (2022). Microfluidic-based exosome isolation and highly sensitive aptamer exosome membrane protein detection for lung cancer diagnosis. Biosensors and Bioelectronics. 214. 114487–114487. 114 indexed citations
3.
Fu, Jun, et al.. (2022). Clinical and Genetic Features of Chinese Patients With NIPA1-Related Hereditary Spastic Paraplegia Type 6. Frontiers in Genetics. 13. 859688–859688. 2 indexed citations
4.
Ding, Xuebing, Chi Qin, Yongkang Chen, et al.. (2021). Spreading of TDP-43 pathology via pyramidal tract induces ALS-like phenotypes in TDP-43 transgenic mice. Acta Neuropathologica Communications. 9(1). 15–15. 26 indexed citations
5.
Song, Jia, et al.. (2020). [Clinical, myopathological and genetic features of two Chinese families with paramyotonia congenita].. PubMed. 59(7). 535–539. 1 indexed citations
6.
Xiao, Feng, Shigang Lv, Zhitao Zong, et al.. (2020). Cerebrospinal fluid biomarkers for brain tumor detection: clinical roles and current progress.. PubMed. 12(4). 1379–1396. 32 indexed citations
7.
Song, Jia, Jun Fu, Mingming Ma, et al.. (2020). Lower limb muscle magnetic resonance imaging in Chinese patients with myotonic dystrophy type 1. Neurological Research. 42(2). 170–177. 2 indexed citations
8.
Fu, Jun, et al.. (2019). BAG3 p.Pro209Ser mutation identified in a Chinese family with Charcot–Marie–Tooth disease. Journal of Neurology. 267(4). 1080–1085. 12 indexed citations
9.
Ma, Mingming, Jia Song, Jiewen Zhang, et al.. (2019). [Skeletal muscle MRI of lower limbs in patients with facioscapulohumeral dystrophy].. PubMed. 99(9). 675–679. 1 indexed citations
10.
Fu, Jun, et al.. (2019). Homozygous splice‐site mutation c.78 + 5G>A in PMP22 causes congenital hypomyelinating neuropathy. Neuropathology. 39(6). 441–446. 4 indexed citations
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Meng, Lingchao, Jun Fu, He Lv, et al.. (2018). Novel mutations in HINT1 gene cause autosomal recessive axonal neuropathy with neuromyotonia in two cases of sensorimotor neuropathy and one case of motor neuropathy. Neuromuscular Disorders. 28(8). 646–651. 11 indexed citations
14.
15.
Fu, Jun & Yun Yuan. (2017). A novel homozygous nonsense mutation in NEFL causes autosomal recessive Charcot–Marie–Tooth disease. Neuromuscular Disorders. 28(1). 44–47. 15 indexed citations
16.
Fu, Jun, Yiming Zheng, Suqin Jin, et al.. (2016). “Target” and “Sandwich” Signs in Thigh Muscles have High Diagnostic Values for Collagen VI-related Myopathies. Chinese Medical Journal. 129(15). 1811–1816. 36 indexed citations
17.
Fang, Zhijian, et al.. (2010). The Correlation Between Bioactive Components ofFallopia multifloraRoot and Environmental Factors. The American Journal of Chinese Medicine. 38(3). 473–483. 11 indexed citations
18.
Fu, Jun, et al.. (2006). Classification for Some Sterile Lines and Their Restorers of Hybrid Rice with SSR Markers. Acta Agronomica Sinica. 2 indexed citations
19.
Liu, Yuyuan, et al.. (2004). On growth character of young trees of Populus cathayana of different provenances. Zhejiang Linxueyuan xuebao. 21(1). 115–118. 2 indexed citations
20.
Fu, Jun, et al.. (1998). The relationship between net photosynthetic rate and transpiration rate of several kiwifruit strains, and environmental factors. Xibei zhiwu xuebao. 18(1). 90–96. 1 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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Breakdown of academic impact, for papers by Juliana M. Coelho‐Aguiar Breakdown of academic impact, for papers by Ara Kaprelyan Breakdown of academic impact, for papers by Cathrin J. Czupalla Breakdown of academic impact, for papers by Huixian Hong Breakdown of academic impact, for papers by Takahiro Kano Breakdown of academic impact, for papers by Marina Cardano Breakdown of academic impact, for papers by Ivana Dabaj Breakdown of academic impact, for papers by Trevor J. McFarland Breakdown of academic impact, for papers by Jered V. McGivern
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