Man Xing

760 citations
35 papers · 634 · h-index 14

Impact in

    • Synthesis and biological activity
    • Structural and Chemical Analysis of Organic and Inorganic Compounds
    • Multicomponent Synthesis of Heterocycles
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • SARS-CoV-2 and COVID-19 Research 8
    • SARS-CoV-2 detection and testing 2
    • Viral gastroenteritis research and epidemiology 2
    • Synthesis and biological activity 8

Man Xing

33 papers receiving 617 citations

Peers

Man Xing
Comparison fields: 5 of 36
  • Organic Chemistry 243
  • Infectious Diseases 94
  • Epidemiology 52
  • Genetics 39
  • Microbiology 6
Replace Yoonae Ko with:
Yoonae Ko South Korea
Manjula Sritharan India
Shiva K. Angala United States
Jae Hoon Shim United States
Kishore Kumar Srivastava India
Junghwan Kim South Korea
Saqib Kidwai India
Manisha Mohan India
Monika Jankute United Kingdom
Francesc Puig‐Basagoiti Spain
Man Xing relative to Yoonae Ko South Korea Yoonae Ko's profile →
Citations per field
00.5×2×3×
Yoonae Ko · 1×
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 201281
3 201255
4 201448
5 201234
6 201432
7 202430
8 202128
9 202124
10 202120
11 201518
12 201716
13 201415
14 202214
15 201413
16 201613
17 202013
18 202412
19 202311
20 20229

About Man Xing

Man Xing is a scholar working on Infectious Diseases, Organic Chemistry, Epidemiology, Genetics and Immunology, having authored 35 papers that have together received 634 indexed citations. Recurring topics across this work include Synthesis and biological activity (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Influenza Virus Research Studies (5 papers), Virus-based gene therapy research (3 papers), SARS-CoV-2 detection and testing (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Immunology Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Organic Chemistry (243 citations), Infectious Diseases (94 citations), Epidemiology (52 citations), Genetics (39 citations) and Microbiology (6 citations). Man Xing has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Hai‐Liang Zhu, Dongming Zhou, Xianhui Yang, Tingting Zhao, Yu‐Shun Yang, Hai‐Bin Gong, Jian Ping Sun, Xiang Wang, Xiao‐Yang Qiu and Lifei Bai. Their work appears in journals such as Emerging Microbes & Infections, Journal of Virology, Bioorganic & Medicinal Chemistry, RSC Advances and Frontiers in Immunology.

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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