Mengqi Zhong

722 citations
9 papers · 392 indexed · h-index 7
Topics
Ubiquitin and proteasome pathways (3 papers)Chemical Synthesis and Analysis (2 papers)Genomics, phytochemicals, and oxidative stress (2 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Mengqi Zhong

9 papers receiving 382 citations

Peers

Mengqi Zhong
Comparison fields: 5 of 70
  • Molecular Biology 313
  • Organic Chemistry 116
  • Computational Theory and Mathematics 88
  • Oncology 57
  • Pharmacology 40
Replace Lauren A. Viarengo‐Baker with:
Lauren A. Viarengo‐Baker United States
Matthew R. Naylor United States
Jesse Woo United States
Victoria G. Klein United States
William M. Hewitt United States
Henrik Johansson Denmark
Erik Gilberg Germany
Xianchao Pan China
Chad E. Townsend United States
Michael Z. Hoemann United States
Mengqi Zhong relative to Lauren A. Viarengo‐Baker United States Lauren A. Viarengo‐Baker's profile →
Citations per field
00.5×1.5×2.0×
Lauren A. Viarengo‐Baker · 1×
Citations per year

Countries citing papers authored by Mengqi Zhong

Since Specialization
Citations

This map shows the geographic impact of Mengqi Zhong'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 Mengqi Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengqi Zhong more than expected).

Fields of papers citing papers by Mengqi Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengqi Zhong. 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 Mengqi Zhong. The network helps show where Mengqi Zhong may publish in the future.

Co-authorship network of co-authors of Mengqi Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Mengqi Zhong. A scholar is included among the top collaborators of Mengqi Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mengqi Zhong. Mengqi Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 36
2 1
3 26
4 12
5 43
6 30
7 40
8 203
9 1

About Mengqi Zhong

Mengqi Zhong is a scholar working on Cell Biology, Molecular Biology and Computational Theory and Mathematics, having authored 9 papers that have together received 392 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Chemical Synthesis and Analysis (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Computational Theory and Mathematics (88 citations), Microbiology (32 citations) and Molecular Biology (313 citations). Mengqi Zhong has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Adrian Whitty, Lauren A. Viarengo‐Baker, Sándor Vajda, David Hall, Dmitri Beglov, Michelle R. Arkin, Christian Ottmann, Eline Sijbesma, Gregory M. Lee and R. Jeffrey Neitz. Their work appears in journals such as Journal of the American Chemical Society, Biochemistry and Cancer 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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