Bing Niu

2.3k total citations
110 papers, 1.4k citations indexed

About

Bing Niu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Bing Niu has authored 110 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Bing Niu's work include Computational Drug Discovery Methods (15 papers), Food Allergy and Anaphylaxis Research (10 papers) and Animal Disease Management and Epidemiology (10 papers). Bing Niu is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Food Allergy and Anaphylaxis Research (10 papers) and Animal Disease Management and Epidemiology (10 papers). Bing Niu collaborates with scholars based in China, United States and United Kingdom. Bing Niu's co-authors include Qin Chen, Xin Cao, Ruirui Liang, Xiaodong Sun, Sijing Xia, Xiaojun Deng, Yi Lu, Xiaosheng Qu, Junyi Huang and Qiang Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Bing Niu

105 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Niu China 22 504 146 139 107 97 110 1.4k
Saumya Srivastava India 22 555 1.1× 86 0.6× 40 0.3× 212 2.0× 117 1.2× 82 1.7k
Chandrabose Selvaraj India 29 1.1k 2.1× 94 0.6× 720 5.2× 254 2.4× 64 0.7× 108 2.3k
Weijian Zhang China 25 845 1.7× 36 0.2× 27 0.2× 211 2.0× 95 1.0× 74 1.7k
Sebastian Hoffmann Germany 34 601 1.2× 155 1.1× 282 2.0× 61 0.6× 117 1.2× 165 4.3k
Chang‐Min Lee South Korea 22 481 1.0× 99 0.7× 21 0.2× 46 0.4× 117 1.2× 130 1.8k
Lili Zhang China 25 686 1.4× 421 2.9× 56 0.4× 119 1.1× 33 0.3× 137 1.8k
Liqing Zhang United States 32 2.4k 4.8× 151 1.0× 48 0.3× 62 0.6× 101 1.0× 132 4.1k
David Allen United States 24 362 0.7× 123 0.8× 554 4.0× 91 0.9× 23 0.2× 76 1.9k
Ying Li China 27 1.2k 2.4× 202 1.4× 31 0.2× 52 0.5× 164 1.7× 178 2.5k

Countries citing papers authored by Bing Niu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Niu. A scholar is included among the top collaborators of Bing Niu 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 Bing Niu. Bing Niu 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.
Li, Xinyu, Guihua Zhu, Bing Niu, et al.. (2025). Recent developments and applications of solid membrane in chiral separation. Journal of Chromatography A. 1743. 465652–465652. 5 indexed citations
2.
Zhu, Kejian, et al.. (2025). Perineuronal nets: Role in normal brain physiology and aging, and pathology of various diseases. Ageing Research Reviews. 108. 102756–102756. 1 indexed citations
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Zhang, Xinyue, Qiaoling Yang, Shuqing Gu, et al.. (2024). Rapid identification method of milk powder from different animals based on Raman spectroscopy. Journal of Dairy Science. 108(1). 136–151. 5 indexed citations
6.
Sun, Xiaodong, et al.. (2024). Effects of Flavourzyme and Alkaline Protease Treatment on Structure and Allergenicity of Peanut Allergen Ara h 1. Food Technology and Biotechnology. 62(1). 4–14. 1 indexed citations
7.
Wang, Shuo, et al.. (2023). Effect of Peanut Protein Treated with Alkaline Protease and Flavorzyme on BALB/c Mice. Foods. 12(13). 2634–2634. 1 indexed citations
8.
Niu, Bing, et al.. (2023). The Discovery and Development of Glucagon-Like Peptide-1Receptor Agonists. Current Medicinal Chemistry. 31(20). 2921–2943. 1 indexed citations
9.
Zheng, Linfeng, Xiangyang Qin, Jiao Wang, et al.. (2022). Discovery of MAO-B Inhibitor with Machine Learning, Topomer CoMFA, Molecular Docking and Multi-Spectroscopy Approaches. Biomolecules. 12(10). 1470–1470. 7 indexed citations
10.
Lu, Weipeng, Shuang Wu, Jun-Hui Ou, et al.. (2022). Intelligent System for Distributed Deep Learning Training Traffic Optimization. 1358–1365. 1 indexed citations
11.
Xu, Siyan, Xiaojun Deng, Min Wang, et al.. (2021). Determining the geographical origin of milk by multivariate analysis based on stable isotope ratios, elements and fatty acids. Analytical Methods. 13(22). 2537–2548. 11 indexed citations
12.
Feng, Qi, Wenxing Qin, Yao Zhang, et al.. (2021). Sulfarotene, a synthetic retinoid, overcomes stemness and sorafenib resistance of hepatocellular carcinoma via suppressing SOS2-RAS pathway. Journal of Experimental & Clinical Cancer Research. 40(1). 17 indexed citations
13.
Liang, Ruirui, Chi Zhang, Mengying Zhang, et al.. (2019). Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components. Current Topics in Medicinal Chemistry. 19(25). 2301–2317. 27 indexed citations
14.
Zhao, Manman, Ruirui Liang, Qin Chen, et al.. (2019). A Study of the Mechanism of Binding between Neratinib and MAD2L1 Based on Molecular Simulation and Multi-spectroscopy Methods. Current Pharmaceutical Design. 25(40). 4287–4295. 3 indexed citations
15.
Song, Qian, Quanlin An, Bing Niu, et al.. (2019). Role of miR-221/222 in Tumor Development and the Underlying Mechanism. Journal of Oncology. 2019. 1–15. 62 indexed citations
16.
Liang, Ruirui, Yi Lu, Xiaosheng Qu, et al.. (2019). Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological data. Transboundary and Emerging Diseases. 67(2). 935–946. 73 indexed citations
17.
Huang, Junyi, Zhenmin Liu, Ziyu He, et al.. (2018). Studies on the Interaction between Three Small Flavonoid Molecules and Bovine Lactoferrin. BioMed Research International. 2018. 1–10. 28 indexed citations
18.
Zhao, Manman, Linfeng Zheng, Mengying Zhang, et al.. (2017). 2D-QSAR and 3D-QSAR Analyses for EGFR Inhibitors. BioMed Research International. 2017. 1–11. 33 indexed citations
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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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