Fangfang Bi

1.7k total citations
51 papers, 1.3k citations indexed

About

Fangfang Bi is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fangfang Bi has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 21 papers in Molecular Biology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fangfang Bi's work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (12 papers) and Muscle Physiology and Disorders (9 papers). Fangfang Bi is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (12 papers) and Muscle Physiology and Disorders (9 papers). Fangfang Bi collaborates with scholars based in China, United States and Australia. Fangfang Bi's co-authors include Cao Huang, Hongxia Zhou, Jianbin Tong, Bo Huang, Qinxue Wu, Xu‐Gang Xia, Jinxia Zhou, Kun Huang, Fang Li and Robert Bowser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Fangfang Bi

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangfang Bi China 19 528 486 296 250 249 51 1.3k
Hugo Peluffo Uruguay 18 416 0.8× 576 1.2× 439 1.5× 253 1.0× 172 0.7× 39 1.5k
Savina Apolloni Italy 23 603 1.1× 432 0.9× 582 2.0× 194 0.8× 263 1.1× 45 1.6k
Gabriele Stumm Germany 15 401 0.8× 631 1.3× 230 0.8× 349 1.4× 211 0.8× 23 1.6k
Tony Frugier Australia 22 365 0.7× 993 2.0× 291 1.0× 166 0.7× 529 2.1× 30 1.7k
Teresa Wierzba‐Bobrowicz Poland 21 367 0.7× 430 0.9× 439 1.5× 228 0.9× 76 0.3× 109 1.4k
Gerald Goodall United Kingdom 15 801 1.5× 457 0.9× 321 1.1× 108 0.4× 358 1.4× 19 1.3k
Susanna Amadio Italy 31 523 1.0× 742 1.5× 836 2.8× 474 1.9× 221 0.9× 65 2.7k
Matthew C. Evans United Kingdom 17 270 0.5× 821 1.7× 208 0.7× 191 0.8× 205 0.8× 30 1.5k
Sonja Johann Germany 24 356 0.7× 949 2.0× 665 2.2× 272 1.1× 142 0.6× 33 1.9k
Jesse D. Sengillo United States 21 456 0.9× 1.1k 2.2× 842 2.8× 284 1.1× 131 0.5× 74 2.4k

Countries citing papers authored by Fangfang Bi

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Bi. A scholar is included among the top collaborators of Fangfang Bi 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 Fangfang Bi. Fangfang Bi 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.
Wang, Hao, et al.. (2024). Promoting the welfare of animals utilized in neuroscience research. SHILAP Revista de lepidopterología. 2(3). 2 indexed citations
2.
Zhou, Jinxia, et al.. (2023). The value of serum albumin concentration in predicting functional outcome of status epilepticus: An observational study. Epileptic Disorders. 25(2). 150–159. 3 indexed citations
3.
Huang, Kun, Fangfang Bi, & Huan Yang. (2022). Corrigendum: A Systematic Review and Meta-Analysis of the Prevalence of Congenital Myopathy. Frontiers in Neurology. 13. 857959–857959. 2 indexed citations
4.
Huang, Kun, et al.. (2022). Expanding the clinicopathological-genetic spectrum of glycogen storage disease type IXd by a Chinese neuromuscular center. Frontiers in Neurology. 13. 945280–945280. 4 indexed citations
5.
He, Jian, et al.. (2022). A causal relationship between leukocyte telomere length and multiple sclerosis: A Mendelian randomization study. Frontiers in Immunology. 13. 922922–922922. 23 indexed citations
6.
Huang, Kun, et al.. (2022). Findings of limb-girdle muscular dystrophy R7 telethonin-related patients from a Chinese neuromuscular center. Neurogenetics. 23(1). 37–44. 6 indexed citations
7.
Luo, Yue‐Bei, et al.. (2021). Expanding the clinicopathological‐genetic spectrum of GNE myopathy by a Chinese neuromuscular centre. Journal of Cellular and Molecular Medicine. 25(22). 10494–10503. 12 indexed citations
8.
Chen, Si, et al.. (2020). Riluzole Exhibits No Therapeutic Efficacy on a Transgenic Rat model of Amyotrophic Lateral Sclerosis. Current Neurovascular Research. 17(3). 275–285. 8 indexed citations
9.
Luo, Cong, Yanhui Cui, Yang Xu, et al.. (2020). Corticosterone Induced the Increase of proBDNF in Primary Hippocampal Neurons Via Endoplasmic Reticulum Stress. Neurotoxicity Research. 38(2). 370–384. 17 indexed citations
10.
Li, Qiuxiang, et al.. (2020). The association between myositis-specific autoantibodies and muscle pathologies in idiopathic inflammatory myopathies. Clinical Rheumatology. 40(2). 613–624. 7 indexed citations
11.
Luo, Yue‐Bei, et al.. (2020). Expanding the Clinico-Genetic Spectrum of Myofibrillar Myopathy: Experience From a Chinese Neuromuscular Center. Frontiers in Neurology. 11. 1014–1014. 9 indexed citations
12.
Shen, Jie, Jinxia Zhou, Qiao Liao, et al.. (2020). The alteration of gut microbiome and metabolism in amyotrophic lateral sclerosis patients. Scientific Reports. 10(1). 12998–12998. 86 indexed citations
13.
Su, Dandan, Yong Zhang, Fangfang Bi, & Bo Xiao. (2019). [Proteomic analysis of the cerebrospinal fluid from patients with amyotrophic lateral sclerosis based on tandem mass spectrometry technique].. PubMed. 39(4). 428–436. 2 indexed citations
14.
Zhao, Haiting, Yuhu Zhang, Yinghui Zhang, et al.. (2018). NGF/FAK signal pathway is implicated in angiogenesis after acute cerebral ischemia in rats. Neuroscience Letters. 672. 96–102. 12 indexed citations
15.
Huang, Cao, et al.. (2018). [Mutations of G38R and D40G cause amyotrophic lateral sclerosis by reducing Annexin A11 protein stability].. PubMed. 43(6). 577–582. 2 indexed citations
16.
Bi, Fangfang, et al.. (2014). Effect of Khat on apoptosis and related gene Smac/DIABLO expression in the cerebral cortex of rats following transient focal ischemia. Environmental Toxicology and Pharmacology. 39(1). 424–432. 7 indexed citations
17.
Huang, Cao, Jianbin Tong, Fangfang Bi, et al.. (2012). Entorhinal cortical neurons are the primary targets of FUS mislocalization and ubiquitin aggregation in FUS transgenic rats. Human Molecular Genetics. 21(21). 4602–4614. 55 indexed citations
18.
Long, Lili, Bo Xiao, Fang Yi, et al.. (2010). Selective Loss and Axonal Sprouting of GABAergic Interneurons in the Sclerotic Hippocampus Induced by LiCl–Pilocarpine. International Journal of Neuroscience. 121(2). 69–85. 21 indexed citations
19.
Zhou, Jinxia, Guoliang Li, Jian Xia, et al.. (2008). Cerebral schistosomiasis japonica without gastrointestinal system involvement. Surgical Neurology. 71(4). 481–486. 14 indexed citations
20.
Bi, Fangfang, et al.. (2007). Expression and localization of Fas-associated proteins following focal cerebral ischemia in rats. Brain Research. 1191. 30–38. 11 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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