Cong Wu
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
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- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Machine Learning in Bioinformatics 1
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- Pleural and Pulmonary Diseases 3
- Lung Cancer Treatments and Mutations 2
- Co-authors
- Paul M. Thomas (3 shared papers)Neil L. Kelleher (3 shared papers)Leonid Zamdborg (2 shared papers)Mingxi Li (2 shared papers)Bryan P. Early (2 shared papers)Dorothy R. Ahlf (2 shared papers)Kenneth R. Durbin (2 shared papers)John C. Tran (2 shared papers)
- Journals
- Poultry Science (1 paper)Nature Methods (1 paper)Medicine (1 paper)Analytical Chemistry (1 paper)The Annals of Thoracic Surgery (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Cong Wu
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Spectroscopy 465
- Molecular Biology 494
- Infectious Diseases 107
- Gastroenterology 24
- Family Practice 9
Countries citing papers authored by Cong Wu
This map shows the geographic impact of Cong Wu'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 Cong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wu more than expected).
Fields of papers citing papers by Cong Wu
This network shows the impact of papers produced by Cong Wu. 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 Cong Wu. The network helps show where Cong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mapping intact protein isoforms in discovery mode using top-down proteomics Hit paper breakdown → | 2011 | 502 |
| 2 | 2012 | 96 | |
| 3 | 2011 | 86 | |
| 4 | 2018 | 66 | |
| 5 | 2011 | 51 | |
| 6 | 2017 | 46 | |
| 7 | 2013 | 42 | |
| 8 | 2010 | 29 | |
| 9 | 2018 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2011 | 21 | |
| 12 | 2020 | 13 | |
| 13 | 2016 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 1 | |
| 18 | Understanding the impact of fractionation and dynamic exclusion on proteomics | 2014 | 1 |
| 19 | 2025 | 0 |
About Cong Wu
Cong Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Spectroscopy, Surgery and Cancer Research, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Pleural and Pulmonary Diseases (3 papers), MicroRNA in disease regulation (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Spine and Intervertebral Disc Pathology (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Spectroscopy (465 citations), Molecular Biology (494 citations), Infectious Diseases (107 citations), Gastroenterology (24 citations) and Family Practice (9 citations). Cong Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Paul M. Thomas, Neil L. Kelleher, Leonid Zamdborg, Mingxi Li, Bryan P. Early, Dorothy R. Ahlf, Kenneth R. Durbin, John C. Tran, Richard D. LeDuc and John F. Kellie. Their work appears in journals such as Poultry Science, Nature Methods, Medicine, Analytical Chemistry and The Annals of Thoracic Surgery.
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.