Man Xing

770 citations
34 papers · 578 · h-index 14

Impact in

    • Synthesis and biological activity
    • Synthesis and Biological Evaluation
    • Multicomponent Synthesis of Heterocycles
    • Synthesis and Characterization of Heterocyclic Compounds
    • Click Chemistry and Applications
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • Viral gastroenteritis research and epidemiology 6
    • Viral Infectious Diseases and Gene Expression in Insects 3

Man Xing

32 papers receiving 569 citations

Peers

Man Xing
Comparison fields: 5 of 66
  • Organic Chemistry 281
  • Infectious Diseases 116
  • Toxicology 20
  • Pharmacology 44
  • Computational Theory and Mathematics 48
Replace Kasey Rivas with:
Kasey Rivas United States
Karen C. Wolff United States
Nassira Mahmoudi France
Arnab China India
Trupti Pandharkar United States
Gopal R. Bommineni United States
Charlotte Lanteri United States
Jayakanth Kankanala United States
Sylvia R. Luckner Germany
Norimitsu Hariguchi Japan
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Citations per year

Countries citing papers authored by Man Xing

Since Specialization
Citations

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

Fields of papers citing papers by Man Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Man Xing, 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 Man Xing Line = papers co-authored together Man Xing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201292
2 201281
3 201255
4 201444
5 201235
6 201430
7 202423
8 202123
9 202121
10 201518
11 201715
12 201415
13 201413
14 202213
15 201613
16 202411
17 202011
18 202310
19 20228
20 20228

About Man Xing

Man Xing is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Epidemiology and Organic Chemistry, having authored 34 papers that have together received 578 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Virus-based gene therapy research (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Respiratory viral infections research (6 papers), Influenza Virus Research Studies (5 papers), Synthesis and biological activity (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Organic Chemistry (281 citations), Infectious Diseases (116 citations), Toxicology (20 citations), Pharmacology (44 citations) and Computational Theory and Mathematics (48 citations). Man Xing has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Hai‐Liang Zhu, Tingting Zhao, Xianhui Yang, Dongming Zhou, Xi Li, Yu‐Shun Yang, Hai‐Bin Gong, Jian Sun, Haihong Wang and Xiang Lu. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, Bioorganic & Medicinal Chemistry, npj Vaccines and RSC Advances.

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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