Mingming Niu

3.0k total citations
14 papers, 472 citations indexed

About

Mingming Niu is a scholar working on Molecular Biology, Spectroscopy and Neurology. According to data from OpenAlex, Mingming Niu has authored 14 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Spectroscopy and 2 papers in Neurology. Recurrent topics in Mingming Niu's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Mingming Niu is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Mingming Niu collaborates with scholars based in United States, China and Montenegro. Mingming Niu's co-authors include Junmin Peng, Hong Wang, Yuxin Li, Ji-Hoon Cho, Xusheng Wang, Kaushik Dey, Ping‐Chung Chen, Thomas G. Beach, Anthony A. High and Zhiping Wu and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Genome biology.

In The Last Decade

Mingming Niu

14 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingming Niu United States 10 310 133 118 60 57 14 472
Ping‐Chung Chen United States 11 400 1.3× 217 1.6× 98 0.8× 88 1.5× 38 0.7× 13 600
Evgeny Kanshin United States 13 430 1.4× 149 1.1× 111 0.9× 80 1.3× 26 0.5× 35 620
Erin Finehout United States 8 268 0.9× 158 1.2× 135 1.1× 34 0.6× 38 0.7× 8 445
Michelle K. Lin United States 5 273 0.9× 69 0.5× 106 0.9× 29 0.5× 128 2.2× 8 445
Jennifer L. Mazzola United States 7 290 0.9× 209 1.6× 26 0.2× 37 0.6× 113 2.0× 10 504
Michael Winter Switzerland 8 255 0.8× 297 2.2× 40 0.3× 16 0.3× 20 0.4× 15 583
Julia Regina Sondermann Germany 9 306 1.0× 112 0.8× 196 1.7× 33 0.6× 14 0.2× 18 496
Peter Brechlin Germany 10 242 0.8× 222 1.7× 43 0.4× 29 0.5× 174 3.1× 16 513
Daniel J. Colacurcio United States 5 324 1.0× 237 1.8× 25 0.2× 143 2.4× 44 0.8× 7 657
Pabalu P. Karunadharma United States 13 742 2.4× 195 1.5× 58 0.5× 112 1.9× 21 0.4× 18 1.1k

Countries citing papers authored by Mingming Niu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Niu

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

All Works

14 of 14 papers shown
1.
Zhang, Qian, Chuanhong Wu, Li-Xia Peng, et al.. (2025). Analysis of biased allelic enhancer activity of schizophrenia-linked common variants. Communications Biology. 8(1). 1034–1034. 1 indexed citations
2.
Li, Ling, Mingming Niu, Jie Luo, et al.. (2022). SMAP is a pipeline for sample matching in proteogenomics. Nature Communications. 13(1). 744–744. 2 indexed citations
3.
Sun, Xiaojun, Huan Sun, Xian Han, et al.. (2022). Deep Single-Cell-Type Proteome Profiling of Mouse Brain by Nonsurgical AAV-Mediated Proximity Labeling. Analytical Chemistry. 94(13). 5325–5334. 25 indexed citations
4.
Liu, Peng, Xinyang Yu, Xiaohong Dai, et al.. (2021). Scalp Acupuncture Attenuates Brain Damage After Intracerebral Hemorrhage Through Enhanced Mitophagy and Reduced Apoptosis in Rats. Frontiers in Aging Neuroscience. 13. 718631–718631. 21 indexed citations
5.
Xu, Beisi, Hong Wang, Shaela Wright, et al.. (2021). Acute depletion of CTCF rewires genome-wide chromatin accessibility. Genome biology. 22(1). 244–244. 36 indexed citations
6.
Yu, Kaiwen, Mingming Niu, Hong Wang, et al.. (2021). Global Profiling of Lysine Accessibility to Evaluate Protein Structure Changes in Alzheimer’s Disease. Journal of the American Society for Mass Spectrometry. 32(4). 936–945. 11 indexed citations
7.
Dey, Kaushik, Huan Sun, Zhen Wang, et al.. (2021). Proteomic Profiling of Cerebrospinal Fluid by 16-Plex TMT-Based Mass Spectrometry. Methods in molecular biology. 2420. 21–37. 9 indexed citations
8.
Wang, Hong, Kaushik Dey, Ping‐Chung Chen, et al.. (2020). Integrated analysis of ultra-deep proteomes in cortex, cerebrospinal fluid and serum reveals a mitochondrial signature in Alzheimer’s disease. Molecular Neurodegeneration. 15(1). 43–43. 115 indexed citations
9.
Wang, Zhen, Kaushik Dey, Vishwajeeth Pagala, et al.. (2020). High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry. Journal of Visualized Experiments. 10 indexed citations
10.
Dey, Kaushik, Hong Wang, Mingming Niu, et al.. (2019). Deep undepleted human serum proteome profiling toward biomarker discovery for Alzheimer’s disease. Clinical Proteomics. 16(1). 16–16. 103 indexed citations
11.
High, Anthony A., Haiyan Tan, Vishwajeeth Pagala, et al.. (2017). Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification. Journal of Visualized Experiments. 13 indexed citations
12.
Niu, Mingming, Ji-Hoon Cho, Kiran Kodali, et al.. (2017). Extensive Peptide Fractionation and y1 Ion-Based Interference Detection Method for Enabling Accurate Quantification by Isobaric Labeling and Mass Spectrometry. Analytical Chemistry. 89(5). 2956–2963. 82 indexed citations
13.
Niu, Mingming, Xiaohong Dai, Wei Zou, et al.. (2017). Autophagy, endoplasmic reticulum stress and the unfolded protein response in intracerebral hemorrhage. Translational Neuroscience. 8(1). 37–48. 41 indexed citations
14.
High, Anthony A., Vishwajeeth Pagala, Mingming Niu, et al.. (2017). Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification. Journal of Visualized Experiments. 3 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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