Mingze Bai
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Extracellular vesicles in disease
Papers in
-
- Metabolomics and Mass Spectrometry Studies 7
- Bioinformatics and Genomic Networks 5
- Machine Learning in Bioinformatics 4
- Genetics, Bioinformatics, and Biomedical Research 3
- Spectroscopy 13
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Kunxian Shu (16 shared papers)Yunping Zhu (3 shared papers)Henning Hermjakob (2 shared papers)Songfeng Wu (1 shared paper)Kenli Li (1 shared paper)Guoqing Zhang (1 shared paper)Chunyuan Yang (1 shared paper)Fuchu He (1 shared paper)
- Journals
- Briefings in Bioinformatics (3 papers)Journal of Proteome Research (3 papers)Computing in Science & Engineering (2 papers)Journal of Proteomics (2 papers)PROTEOMICS (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mingze Bai
27 papers receiving 1.6k citations
Mingze Bai's Hit Papers
Peers
Comparison fields: 5 of 133
- Spectroscopy 226
- Molecular Biology 862
- Information Systems and Management 73
- Biological Psychiatry 17
- Cancer Research 101
Countries citing papers authored by Mingze Bai
This map shows the geographic impact of Mingze Bai'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 Mingze Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingze Bai more than expected).
Fields of papers citing papers by Mingze Bai
This network shows the impact of papers produced by Mingze Bai. 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 Mingze Bai. The network helps show where Mingze Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingze Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | iProX: an integrated proteome resource Hit paper breakdown → | 2018 | 1291 |
| 2 | 2017 | 162 | |
| 3 | 2024 | 31 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2013 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2018 | 2 |
About Mingze Bai
Mingze Bai is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and Video Coding and Compression Technologies (2 papers). The work is most often cited by research in Spectroscopy (226 citations), Molecular Biology (862 citations), Information Systems and Management (73 citations), Biological Psychiatry (17 citations) and Cancer Research (101 citations). Mingze Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kunxian Shu, Yunping Zhu, Henning Hermjakob, Songfeng Wu, Kenli Li, Guoqing Zhang, Chunyuan Yang, Fuchu He, Zhong Jin and Tao Chen. Their work appears in journals such as Briefings in Bioinformatics, Journal of Proteome Research, Computing in Science & Engineering, Journal of Proteomics and PROTEOMICS.
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.