Wenjun Mo

2.1k citations
36 papers · 1.7k · h-index 21

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Protein purification and stability 3
    • Mass Spectrometry Techniques and Applications 10
    • Advanced Proteomics Techniques and Applications 5

Wenjun Mo

35 papers receiving 1.6k citations

Peers

Wenjun Mo
Comparison fields: 5 of 132
  • Endocrinology 121
  • Molecular Biology 897
  • Urology 70
  • Cellular and Molecular Neuroscience 210
  • Spectroscopy 176
Replace Xiaojun Wang with:
Xiaojun Wang China
Hiroshi Maruta Japan
Qin Sun United States
Christoph Krisp Germany
Kazuhiro Nishimura Japan
Takumi Takahashi Japan
Maximillian T. Follettie United States
Lawrence J. Alvarez United States
Dongxue Wang China
Jeffrey D. Saffer United States
Wenjun Mo relative to Xiaojun Wang China Xiaojun Wang's profile →
Citations per field
00.5×5.5×
Xiaojun Wang · 1×
Citations per year

Countries citing papers authored by Wenjun Mo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wenjun Mo Line = papers co-authored together Wenjun Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003286
2 2001282
3 2004184
4 2003102
5 200163
6 200760
7 201357
8 200146
9 200446
10 202142
11 200240
12 201440
13 200339
14 200639
15 199836
16 200234
17 202230
18 199926
19 202324
20 200322

About Wenjun Mo

Wenjun Mo is a scholar working on Molecular Biology, Spectroscopy, Electrical and Electronic Engineering, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (10 papers), Advanced Proteomics Techniques and Applications (5 papers), Glycosylation and Glycoproteins Research (3 papers), Chaos control and synchronization (3 papers), Protein purification and stability (3 papers), Power Transformer Diagnostics and Insulation (3 papers), Microbial Fuel Cells and Bioremediation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrinology (121 citations), Molecular Biology (897 citations), Urology (70 citations), Cellular and Molecular Neuroscience (210 citations) and Spectroscopy (176 citations). Wenjun Mo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas A. Neubert, G Piperno, Carlo Iomini, Heikki Väänänen, Yuliang Ma, Xiang‐Peng Kong, Rudi Glockshuber, Ge Zhou, Xue‐Ru Wu and Peter Sebbel. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Biological Chemistry, Analytical Chemistry, Journal of the American Society for Mass Spectrometry 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.

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