Wenjun Mo
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Biology top 10%
- Ion channel regulation and function
Papers in
-
- Protein purification and stability 4
- Glycosylation and Glycoproteins Research 3
- Spectroscopy 10
- Mass Spectrometry Techniques and Applications 10
- Advanced Proteomics Techniques and Applications 5
- Co-authors
- Thomas A. Neubert (4 shared papers)Carlo Iomini (2 shared papers)G Piperno (2 shared papers)Heikki Väänänen (1 shared paper)Yuliang Ma (2 shared papers)Tung‐Tien Sun (1 shared paper)Guangwei Min (1 shared paper)Xiang‐Peng Kong (1 shared paper)
- Journals
- Rapid Communications in Mass Spectrometry (7 papers)Journal of Biological Chemistry (3 papers)Journal of the American Society for Mass Spectrometry (2 papers)Analytical Chemistry (2 papers)Electric Power Systems Research (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Wenjun Mo
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 133
- Endocrinology 135
- Molecular Biology 970
- Urology 75
- Cellular and Molecular Neuroscience 227
- Cell Biology 183
Countries citing papers authored by Wenjun Mo
This map shows the geographic impact of Wenjun Mo'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 Wenjun Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Mo more than expected).
Fields of papers citing papers by Wenjun Mo
This network shows the impact of papers produced by Wenjun Mo. 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 Wenjun Mo. The network helps show where Wenjun Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun Mo, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 311 | |
| 2 | 2003 | 298 | |
| 3 | 2004 | 198 | |
| 4 | 2003 | 103 | |
| 5 | 2001 | 66 | |
| 6 | 2007 | 65 | |
| 7 | 2013 | 62 | |
| 8 | 2001 | 55 | |
| 9 | 2004 | 50 | |
| 10 | 2003 | 46 | |
| 11 | 2006 | 46 | |
| 12 | 2002 | 45 | |
| 13 | 2014 | 42 | |
| 14 | 2021 | 42 | |
| 15 | 1998 | 37 | |
| 16 | 2002 | 34 | |
| 17 | 2022 | 30 | |
| 18 | 1999 | 29 | |
| 19 | 2023 | 24 | |
| 20 | 2003 | 23 |
About Wenjun Mo
Wenjun Mo is a scholar working on Molecular Biology, Spectroscopy, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (10 papers), Advanced Proteomics Techniques and Applications (5 papers), Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers), Chaos control and synchronization (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Power Transformer Diagnostics and Insulation (3 papers) and Microbial Fuel Cells and Bioremediation (2 papers). The work is most often cited by research in Endocrinology (135 citations), Molecular Biology (970 citations), Urology (75 citations), Cellular and Molecular Neuroscience (227 citations) and Cell Biology (183 citations). Wenjun Mo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas A. Neubert, Carlo Iomini, G Piperno, Heikki Väänänen, Yuliang Ma, Tung‐Tien Sun, Guangwei Min, Xiang‐Peng Kong, Peter Sebbel and Ge Zhou. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Biological Chemistry, Journal of the American Society for Mass Spectrometry, Analytical Chemistry and Electric Power Systems Research.
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.