Zhibin Ning

4.5k total citations
93 papers, 2.9k citations indexed

About

Zhibin Ning is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Zhibin Ning has authored 93 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 34 papers in Spectroscopy and 9 papers in Infectious Diseases. Recurrent topics in Zhibin Ning's work include Advanced Proteomics Techniques and Applications (33 papers), Gut microbiota and health (32 papers) and Metabolomics and Mass Spectrometry Studies (26 papers). Zhibin Ning is often cited by papers focused on Advanced Proteomics Techniques and Applications (33 papers), Gut microbiota and health (32 papers) and Metabolomics and Mass Spectrometry Studies (26 papers). Zhibin Ning collaborates with scholars based in Canada, China and United States. Zhibin Ning's co-authors include Daniel Figeys, Janice Mayne, Xu Zhang, Alain Stintzi, Leyuan Li, Kai Cheng, Rong Zeng, David Mack, Cheng‐Kang Chiang and Shelley A. Deeke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Zhibin Ning

91 papers receiving 2.8k citations

Peers

Zhibin Ning

SPECT

PHYSI

GENET

Junhua Wang China

TuKiet T. Lam United States

Christopher M. Colangelo United States

Sylvie Luche France

Kyung‐Ah Lee South Korea

Andrew R. Bottrill United Kingdom

Torsten Kleffmann New Zealand

Jeffrey A. Kowalak United States

Gennifer E. Merrihew United States

Xue Li Guan Singapore

Junhua Wang China

Zhibin Ning

1.5k ×0.7

240 ×0.4

SPECT

206 ×0.7

PHYSI

170 ×0.8

GENET

314 ×1.6

Citations per year, relative to Zhibin Ning Zhibin Ning (= 1×) peers Junhua Wang

Countries citing papers authored by Zhibin Ning

Since Specialization

Citations

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

Fields of papers citing papers by Zhibin Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhibin Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Zhibin Ning. A scholar is included among the top collaborators of Zhibin Ning 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 Zhibin Ning. Zhibin Ning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Leyuan, Janice Mayne, Zhibin Ning, et al.. (2025). Systematic metaproteomics mapping reveals functional and ecological landscapes of Ex vivo human gut microbiota responses to therapeutic drugs. Nature Communications. 16(1). 9383–9383.

Wu, Guojun, Yue Wu, Zhibin Ning, et al.. (2025). Grape polyphenols reduce fasting glucose and increase hyocholic acid in healthy humans: a meta-omics study. npj Science of Food. 9(1). 87–87. 2 indexed citations

Gao, Fangyuan, Zhibin Ning, Dorota Skowronska‐Krawczyk, et al.. (2024). Retinal Proteome Profiling of Inherited Retinal Degeneration Across Three Different Mouse Models Suggests Common Drug Targets in Retinitis Pigmentosa. Molecular & Cellular Proteomics. 23(11). 100855–100855. 1 indexed citations

Yang, Yidai, Zhibin Ning, Daniel Figeys, et al.. (2024). Structural insights into an atypical histone binding mechanism by a PHD finger. Structure. 32(9). 1498–1506.e4.

Wang, Angela Yee‐Moon, Kai Cheng, Zhibin Ning, et al.. (2024). Assessing fecal metaproteomics workflow and small protein recovery using DDA and DIA PASEF mass spectrometry. PubMed. 3(3). 39–39. 6 indexed citations

Ning, Zhibin, et al.. (2024). Spectral entropy as a measure of the metaproteome complexity. PROTEOMICS. 24(16). e2300570–e2300570. 1 indexed citations

Ning, Zhibin, et al.. (2023). BRK confers tamoxifen-resistance in breast cancer via regulation of tyrosine phosphorylation of CDK1. Cellular Signalling. 108. 110723–110723. 5 indexed citations

Zhang, Xu, Krystal Walker, Janice Mayne, et al.. (2022). Evaluating live microbiota biobanking using an ex vivo microbiome assay and metaproteomics. Gut Microbes. 14(1). 2035658–2035658. 14 indexed citations

Li, Heng‐Hui, Xu Zhang, Rui Chen, et al.. (2021). Elevated colonic microbiota-associated paucimannosidic and truncated N-glycans in pediatric ulcerative colitis. Journal of Proteomics. 249. 104369–104369. 7 indexed citations

10.

Ning, Zhibin, Xu Zhang, Leyuan Li, et al.. (2020). pepFunk: a tool for peptide-centric functional analysis of metaproteomic human gut microbiome studies. Bioinformatics. 36(14). 4171–4179. 11 indexed citations

11.

Mayne, Janice, et al.. (2019). Therapeutic Targeting of Casein Kinase 1δ/ε in an Alzheimer’s Disease Mouse Model. Journal of Proteome Research. 18(9). 3383–3393. 28 indexed citations

12.

Zhang, Xu, Shelley A. Deeke, Zhibin Ning, et al.. (2018). Metaproteomics reveals associations between microbiome and intestinal extracellular vesicle proteins in pediatric inflammatory bowel disease. Nature Communications. 9(1). 2873–2873. 191 indexed citations

13.

Catelas, Isabelle, et al.. (2018). Differential proteomic analysis of synovial fluid from hip arthroplasty patients with a pseudotumor vs. Periprosthetic osteolysis. Journal of Orthopaedic Research®. 36(7). 1849–1859. 5 indexed citations

14.

Tworak, Aleksander, Brian M. Kevany, Bo Xu, et al.. (2017). Quantitative phosphoproteomics reveals involvement of multiple signaling pathways in early phagocytosis by the retinal pigmented epithelium. Journal of Biological Chemistry. 292(48). 19826–19839. 14 indexed citations

15.

Zhang, Xu, Leyuan Li, Janice Mayne, et al.. (2017). Assessing the impact of protein extraction methods for human gut metaproteomics. Journal of Proteomics. 180. 120–127. 77 indexed citations

16.

Bojko, Barbara, et al.. (2016). High throughput solid phase microextraction: A new alternative for analysis of cellular lipidome?. Journal of Chromatography B. 1043. 12–19. 25 indexed citations

17.

Ge, Ying, et al.. (2015). Quantitative proteomic analysis of Dunaliella salina upon acute arsenate exposure. Chemosphere. 145. 112–118. 29 indexed citations

18.

Lanouette, Sylvain, James A. Davey, Fred Elisma, et al.. (2014). Discovery of Substrates for a SET Domain Lysine Methyltransferase Predicted by Multistate Computational Protein Design. Structure. 23(1). 206–215. 32 indexed citations

19.

Ning, Zhibin, et al.. (2014). Detecting Protein–Protein Interactions/Complex Components Using Mass Spectrometry Coupled Techniques. Methods in molecular biology. 1164. 1–13. 9 indexed citations

20.

Zhou, Hu, Fangjun Wang, Yuwei Wang, et al.. (2011). Improved Recovery and Identification of Membrane Proteins from Rat Hepatic Cells using a Centrifugal Proteomic Reactor. Molecular & Cellular Proteomics. 10(10). O111.008425–O111.008425. 31 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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