Zi‐Wei Ye

6.6k citations
93 papers · 3.7k · 2 hit papers · h-index 28

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 16
    • COVID-19 Clinical Research Studies 12
    • Viral Infections and Vectors 7
    • Viral gastroenteritis research and epidemiology 6

Zi‐Wei Ye

87 papers receiving 3.6k citations

Zi‐Wei Ye's Hit Papers

Zoonotic origins of human coronaviruses 2020 · 627 citations
6270+2+4Years since publication200400600

Peers

Zi‐Wei Ye
Comparison fields: 5 of 173
  • Infectious Diseases 1.5k
  • Modeling and Simulation 160
  • Neurology 298
  • Obstetrics and Gynecology 140
  • General Dentistry 27
Replace Fang Li with:
Fang Li China
Geng Li China
Wu Zhong China
Xuan Li China
Pei Hao China
Yingxia Liu China
Chi‐Ping Chan Hong Kong
Ailong Huang China
Charles S. Dela Cruz United States
Haiyan Yang China
Zi‐Wei Ye relative to Fang Li China Fang Li's profile →
Citations per field
00.5×1.5×
Fang Li · 1×
Citations per year

Countries citing papers authored by Zi‐Wei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Zi‐Wei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zi‐Wei Ye. 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 Zi‐Wei Ye. The network helps show where Zi‐Wei Ye may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Zoonotic origins of human coronaviruses
Hit paper breakdown →
2020627
2 2020483
3
Severe acute respiratory syndrome Coronavirus ORF3a protein activates the NLRP3 inflammasome by promoting TRAF3‐dependent ubiquitination of ASC
Hit paper breakdown →
2019380
4 2020294
5 2020151
6 2019121
7 2020102
8 202087
9 201874
10 201957
11 201951
12 202049
13 202048
14 201947
15 202044
16 201844
17 201443
18 202142
19 201940
20 202140

About Zi‐Wei Ye

Zi‐Wei Ye is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Public Health, Environmental and Occupational Health, having authored 93 papers that have together received 3.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (12 papers), interferon and immune responses (9 papers), Influenza Virus Research Studies (8 papers), Viral Infections and Vectors (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (5 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Modeling and Simulation (160 citations), Neurology (298 citations), Obstetrics and Gynecology (140 citations) and General Dentistry (27 citations). Zi‐Wei Ye has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dong‐Yan Jin, Chi‐Ping Chan, Sin‐Yee Fung, Kit‐San Yuen, Shuofeng Yuan, Kwok‐Yung Yuen, Lesan Wang, Senmao Zhang, Letao Chen and Jiabi Qin. Their work appears in journals such as Emerging Microbes & Infections, International Journal of Biological Sciences, Cell & Bioscience, Viruses and Journal of Medical Virology.

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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