Mingming Dong
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Glycosylation and Glycoproteins Research 28
- Machine Learning in Bioinformatics 5
- Genomics and Phylogenetic Studies 5
- Spectroscopy 29
- Advanced Proteomics Techniques and Applications 27
- Mass Spectrometry Techniques and Applications 11
- Co-authors
- Mingliang Ye (39 shared papers)Hanfa Zou (24 shared papers)Kai Cheng (13 shared papers)Zhen Liu (4 shared papers)Hongqiang Qin (24 shared papers)Yangyang Bian (12 shared papers)Lianbing Ren (2 shared papers)Fangjun Wang (8 shared papers)
- Journals
- Analytical Chemistry (14 papers)Journal of Proteome Research (7 papers)Analytica Chimica Acta (4 papers)Journal of Chromatography A (3 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mingming Dong
69 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 106
- Spectroscopy 638
- Molecular Biology 1.2k
- Radiology, Nuclear Medicine and Imaging 177
- Analytical Chemistry 68
- Oncology 169
Countries citing papers authored by Mingming Dong
This map shows the geographic impact of Mingming Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Dong more than expected).
Fields of papers citing papers by Mingming Dong
This network shows the impact of papers produced by Mingming Dong. 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 Dong. The network helps show where Mingming Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Dong, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 209 | |
| 2 | 2009 | 128 | |
| 3 | 2016 | 128 | |
| 4 | 2009 | 101 | |
| 5 | 2010 | 93 | |
| 6 | 2022 | 85 | |
| 7 | 2007 | 84 | |
| 8 | 2013 | 76 | |
| 9 | 2016 | 44 | |
| 10 | 2017 | 44 | |
| 11 | 2012 | 43 | |
| 12 | 2016 | 40 | |
| 13 | 2020 | 39 | |
| 14 | 2018 | 39 | |
| 15 | 2016 | 36 | |
| 16 | 2019 | 33 | |
| 17 | 2019 | 33 | |
| 18 | 2024 | 31 | |
| 19 | 2022 | 29 | |
| 20 | 2020 | 29 |
About Mingming Dong
Mingming Dong is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (28 papers), Advanced Proteomics Techniques and Applications (27 papers), Mass Spectrometry Techniques and Applications (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Carbohydrate Chemistry and Synthesis (9 papers), Galectins and Cancer Biology (5 papers), Machine Learning in Bioinformatics (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Spectroscopy (638 citations), Molecular Biology (1.2k citations), Radiology, Nuclear Medicine and Imaging (177 citations), Analytical Chemistry (68 citations) and Oncology (169 citations). Mingming Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mingliang Ye, Hanfa Zou, Kai Cheng, Zhen Liu, Hongqiang Qin, Yangyang Bian, Lianbing Ren, Fangjun Wang, Chunxia Song and Jiawei Mao. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Analytica Chimica Acta, Journal of Chromatography A and Nature Communications.
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.