Bin Peng

1.4k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Bin Peng is a scholar working on Neurology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Bin Peng has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 7 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Bin Peng's work include Autoimmune Neurological Disorders and Treatments (6 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Bin Peng is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (6 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Bin Peng collaborates with scholars based in China, United States and United Kingdom. Bin Peng's co-authors include Xue Zhang, Denghai Zhang, Jiali Zhang, Xinming Chen, Jiali Zhang, Yuancai Liu, Shuanhu Zhou, Byoung‐Joon Song, Xin Wang and Mohammed Akbar and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Journal of Allergy and Clinical Immunology.

In The Last Decade

Bin Peng

39 papers receiving 999 citations

Hit Papers

In silico screening of Ch... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus
    2020 359 citations Xue Zhang, Bin Peng et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bin Peng 284 157 149 139 136 43 1.0k
Serkan Sertel 443 1.6× 218 1.4× 136 0.9× 38 0.3× 288 2.1× 43 1.6k
Yingchao Wang 421 1.5× 105 0.7× 151 1.0× 41 0.3× 128 0.9× 64 1.1k
Nahid Eskandari 656 2.3× 84 0.5× 64 0.4× 29 0.2× 222 1.6× 101 1.6k
Chenglai Xia 691 2.4× 108 0.7× 59 0.4× 49 0.4× 193 1.4× 61 1.4k
Feifei Qiu 480 1.7× 95 0.6× 92 0.6× 23 0.2× 248 1.8× 39 1.4k
Uzma Saqib 456 1.6× 83 0.5× 38 0.3× 50 0.4× 97 0.7× 27 1.0k
Kyoung‐Jin Jang 468 1.6× 267 1.7× 30 0.2× 66 0.5× 113 0.8× 36 1.1k
Yuejuan Zheng 671 2.4× 161 1.0× 152 1.0× 42 0.3× 134 1.0× 64 1.6k
Fatemeh Zahedipour 223 0.8× 102 0.6× 74 0.5× 31 0.2× 55 0.4× 25 596
Manoela Marques Ortega 509 1.8× 105 0.7× 53 0.4× 22 0.2× 98 0.7× 54 1.2k

Countries citing papers authored by Bin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Peng. A scholar is included among the top collaborators of Bin Peng 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 Bin Peng. Bin Peng 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
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Han, Lin‐Hai, Yuanlin Li, Yanan Zhao, et al.. (2024). One-time mass production of AlN nanosheets: Synergistic effect of high-energy shear and effective collision in a sanding mill. Ceramics International. 50(11). 19642–19649. 2 indexed citations
3.
Peng, Bin, et al.. (2024). Pesticide residue detection technology for herbal medicine: current status, challenges, and prospects. Analytical Sciences. 40(4). 581–597. 6 indexed citations
4.
Liang, Jiajie, Lei Wu, Yaqi Wang, et al.. (2023). SERS/photothermal-based dual-modal lateral flow immunoassays for sensitive and simultaneous antigen detection of respiratory viral infections. Sensors and Actuators B Chemical. 389. 133875–133875. 26 indexed citations
5.
Gong, Lilin, Xiangjun Chen, Rufei Gao, et al.. (2022). Lifestyle and chronic kidney disease: A machine learning modeling study. Frontiers in Nutrition. 9. 918576–918576. 14 indexed citations
6.
Liang, Jiajie, Wei Xiao, Qifang Song, et al.. (2021). Application of the amplification-free SERS-based CRISPR/Cas12a platform in the identification of SARS-CoV-2 from clinical samples. Journal of Nanobiotechnology. 19(1). 273–273. 67 indexed citations
7.
Yu, Jingjing, Fang Hua, Ya Shen, et al.. (2020). Resumption of Endodontic Practices in COVID-19 Hardest-Hit Area of China: A Web-based Survey. Journal of Endodontics. 46(11). 1577–1583.e2. 8 indexed citations
8.
Fu, Hanhui, Dingding Zhang, Rui Zhu, et al.. (2020). Association between lipoprotein(a) concentration and the risk of stroke in the Chinese Han population: a retrospective case-control study. Annals of Translational Medicine. 8(5). 212–212. 24 indexed citations
9.
Zhang, Xue, Bin Peng, Shengqiong Deng, et al.. (2020). Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine. Communications Biology. 3(1). 466–466. 21 indexed citations
10.
Yuan, Jing, Bin Peng, Hongzhi Guan, et al.. (2016). [Immunotherapy strategy for 35 cases of severe anti-N-methyl-D-aspartate receptor encephalitis].. PubMed. 96(13). 1035–9. 6 indexed citations
11.
Lü, Qiang, Hongzhi Guan, Haitao Ren, et al.. (2016). Clinical observation of rituximab in three patients with anti-N-methyl-D-aspartate receptor encephalitis. 49(1). 30–34.
12.
Ren, Haitao, Xunzhe Yang, Hongzhi Guan, et al.. (2016). Clinical analysis of autoimmune encephalitis with co-existence of multiple anti-neuronal antibodies. Chin J Neurol. 49(1). 21–25. 5 indexed citations
13.
Peng, Bin, et al.. (2016). The correlation between miRNAs levels and collateral pathway in the patients with acute cerebral infraction. 100–103. 1 indexed citations
14.
Guan, Hongzhi, Haitao Ren, Bin Peng, et al.. (2015). Anti-Yo antibody-associated paraneoplastic cerebellar degeneration: a report of 6 patients. Chin J Neurol. 48(2). 89–93. 1 indexed citations
15.
Yuan, Jing, et al.. (2015). Traditional Chinese medicine prescribed for acute stroke patients: a cross-sectional survey. Chin J Neurol. 48(4). 284–287. 3 indexed citations
16.
Lu, Qiang, Hongzhi Guan, Haitao Ren, et al.. (2013). Analysis of three cases of anti-N-methyl-D-aspartate receptor encephalitis without tumor. Chin J Neurol. 46(5). 315–319. 1 indexed citations
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Zhang, Jiali & Bin Peng. (2009). NF‐κB promotes iNOS and VEGF expression in salivary gland adenoid cystic carcinoma cells and enhances endothelial cell motility in vitro. Cell Proliferation. 42(2). 150–161. 47 indexed citations
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Wang, Changning, Yaling Song, Bin Peng, et al.. (2006). Expression of c-Src and comparison of cytologic features in cherubism, central giant cell granuloma and giant cell tumors. Oncology Reports. 15(3). 589–94. 22 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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