Bitao Bu

1.5k total citations
54 papers, 993 citations indexed

About

Bitao Bu is a scholar working on Neurology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Bitao Bu has authored 54 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 8 papers in Molecular Biology and 7 papers in Infectious Diseases. Recurrent topics in Bitao Bu's work include Myasthenia Gravis and Thymoma (27 papers), Peripheral Neuropathies and Disorders (19 papers) and Parkinson's Disease and Spinal Disorders (11 papers). Bitao Bu is often cited by papers focused on Myasthenia Gravis and Thymoma (27 papers), Peripheral Neuropathies and Disorders (19 papers) and Parkinson's Disease and Spinal Disorders (11 papers). Bitao Bu collaborates with scholars based in China, United States and Hong Kong. Bitao Bu's co-authors include Inez Vincent, Dai‐Shi Tian, Wei Wang, Minjie Xie, Zhiyuan Yu, Min Zhang, Min Zhang, Qiang Zhang, Paramita Chakrabarty and Jin Li and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Bitao Bu

51 papers receiving 981 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bitao Bu China 16 413 208 206 161 150 54 993
Michael Rentzos Greece 22 719 1.7× 201 1.0× 271 1.3× 406 2.5× 58 0.4× 45 1.4k
Makoto Hara Japan 20 838 2.0× 247 1.2× 218 1.1× 269 1.7× 52 0.3× 105 1.4k
Nicola Rizzuto Italy 18 497 1.2× 252 1.2× 371 1.8× 235 1.5× 65 0.4× 31 1.2k
Ettore Salsano Italy 22 535 1.3× 426 2.0× 638 3.1× 322 2.0× 37 0.2× 72 1.6k
Philippe Coubes France 14 275 0.7× 418 2.0× 212 1.0× 259 1.6× 104 0.7× 31 1.1k
Arifumi Kosakai Japan 17 139 0.3× 329 1.6× 422 2.0× 258 1.6× 86 0.6× 25 1.0k
Sara Haghighi Sweden 15 267 0.6× 114 0.5× 315 1.5× 127 0.8× 133 0.9× 35 944
Samuel Shi United States 17 390 0.9× 72 0.3× 282 1.4× 531 3.3× 68 0.5× 27 1.1k
Kun Jin United States 12 315 0.8× 410 2.0× 815 4.0× 175 1.1× 65 0.4× 19 1.5k
Erik Ellwardt Germany 11 144 0.3× 85 0.4× 150 0.7× 206 1.3× 93 0.6× 23 674

Countries citing papers authored by Bitao Bu

Since Specialization
Citations

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

Fields of papers citing papers by Bitao Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bitao Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Bitao Bu. A scholar is included among the top collaborators of Bitao Bu 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 Bitao Bu. Bitao Bu 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.
Yan, Jun, et al.. (2025). The real-world impact of corticosteroid-associated adverse events in myasthenia gravis: A patient-reported survey analysis. Cellular Immunology. 411-412. 104956–104956. 1 indexed citations
2.
Yan, Junqiang, Kwang Hae Choi, Ping Fu, et al.. (2025). Sleep disturbances in patients with myasthenia gravis: A cross-sectional study. Neurología. 41(1). 501925–501925. 1 indexed citations
3.
Zhang, Qing, et al.. (2025). The JAK1/3 Inhibitor Tofacitinib Regulates Th Cell Profiles and Humoral Immune Responses in Myasthenia Gravis. Muscle & Nerve. 71(3). 474–486. 2 indexed citations
4.
Tian, Dai‐Shi, Chuan Qin, Ming‐Hao Dong, et al.. (2024). B cell lineage reconstitution underlies CAR-T cell therapeutic efficacy in patients with refractory myasthenia gravis. EMBO Molecular Medicine. 16(4). 966–987. 30 indexed citations
5.
Lin, Jing, et al.. (2024). Predictive Factors for Poor Outcomes Associated with COVID-19 in a Retrospective Cohort of Myasthenia Gravis Patients. Journal of Inflammation Research. Volume 17. 5807–5820. 1 indexed citations
6.
Zhang, Qing, Mengge Yang, Jing Lin, et al.. (2024). Exhausted signature and regulatory network of NK cells in myasthenia gravis. Frontiers in Immunology. 15. 1397916–1397916. 3 indexed citations
7.
8.
Yu, Shanshan, et al.. (2023). Effect of thymectomy on the frequencies of peripheral regulatory B and T lymphocytes in patients with Myasthenia gravis-a pilot study. International Journal of Neuroscience. 134(11). 1210–1219. 1 indexed citations
9.
Qin, Chuan, Dai‐Shi Tian, Luo‐Qi Zhou, et al.. (2023). Anti-BCMA CAR T-cell therapy CT103A in relapsed or refractory AQP4-IgG seropositive neuromyelitis optica spectrum disorders: phase 1 trial interim results. Signal Transduction and Targeted Therapy. 8(1). 5–5. 93 indexed citations
10.
Zhang, Qing, Mengge Yang, Jing Lin, et al.. (2023). Clinical Features, Treatment, and Prognostic Factors of Childhood-Onset Myasthenia Gravis in a Large Chinese Cohort. Pediatric Neurology. 146. 31–39. 1 indexed citations
11.
Lin, Jing, et al.. (2022). Long-Term Improvement in a Chinese Cohort of Glucocorticoid-Resistant Childhood-Onset Myasthenia Gravis Patients Treated With Tacrolimus. Frontiers in Neurology. 13. 820205–820205. 7 indexed citations
12.
Chen, Bo, et al.. (2021). Distinct Immunological Features of Inflammatory Demyelinating Diseases of the Central Nervous System. NeuroImmunoModulation. 29(3). 220–230. 11 indexed citations
13.
Shang, Ke, et al.. (2020). Hypertrophic Pachymeningitis in Chinese Patients: Presentation, Radiological Findings, and Clinical Course. BioMed Research International. 2020(1). 2926419–2926419. 9 indexed citations
14.
Ji, Suqiong, et al.. (2019). Guillain-Barré syndrome associated with myasthenia gravis. Medicine. 98(47). e18104–e18104. 2 indexed citations
15.
Lai, Xiaoyin, Xuelian Yang, Mei Jiang, et al.. (2018). Motor neurone disease-associated neck pain misdiagnosed as cervical spondylosis: A case report and literature review. Journal of Clinical Neuroscience. 55. 112–115.
16.
Wu, Qian, Na Liu, Chao Pan, Bitao Bu, & Zhouping Tang. (2016). Guillain-Barré Syndrome and Cerebral Hemorrhage: Two Cases and Literature Review. European Neurology. 76(3-4). 182–186. 12 indexed citations
17.
Luo, Xuan, Jing Lin, Yue Li, et al.. (2015). Long-term outcome of 424 childhood-onset myasthenia gravis patients. Journal of Neurology. 262(4). 823–830. 52 indexed citations
18.
Yu, Shanshan, et al.. (2014). Risk factors of myasthenic crisis after thymectomy in 178 generalized myasthenia gravis patients in a five-year follow-up study. International Journal of Neuroscience. 124(11). 792–798. 15 indexed citations
19.
Jiang, Rifeng, et al.. (2014). Role of diffusion tensor imaging or magnetic resonance spectroscopy in the diagnosis and disability assessment of amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 348(1-2). 206–210. 15 indexed citations
20.
Zhang, Min, Jin Li, Paramita Chakrabarty, Bitao Bu, & Inez Vincent. (2004). Cyclin-Dependent Kinase Inhibitors Attenuate Protein Hyperphosphorylation, Cytoskeletal Lesion Formation, and Motor Defects in Niemann-Pick Type C Mice. American Journal Of Pathology. 165(3). 843–853. 80 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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