Yawei Ni

490 citations
17 papers · 388 · h-index 11

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 10
    • SARS-CoV-2 and COVID-19 Research 2
    • Clostridium difficile and Clostridium perfringens research 2
    • Animal Virus Infections Studies 5

Yawei Ni

17 papers receiving 348 citations

Peers

Yawei Ni
Comparison fields: 5 of 67
  • Animal Science and Zoology 100
  • Infectious Diseases 158
  • Virology 33
  • Pharmaceutical Science 32
  • Genetics 100
Replace Weiyang Sun with:
Weiyang Sun China
Pradeep N. Gandhale India
Otávio Valério de Carvalho Brazil
Wael Hananeh Jordan
Murilo Vieira da Silva Brazil
Shigeji Katayama
Marcos Santos Zanini Brazil
Andrea Peralta Argentina
J. Jore Netherlands
Yawei Ni relative to Weiyang Sun China Weiyang Sun's profile →
Citations per field
00.5×4.6×
Weiyang Sun · 1×
Citations per year

Countries citing papers authored by Yawei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Yawei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Yawei Ni, 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 Yawei Ni Line = papers co-authored together Yawei Ni links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201167
2 199861
3 200444
4 199337
5
In vitro evaluation of the synergistic antiviral effects of acemannan in combination with azidothymidine and acyclovir.
199134
6 201730
7 199920
8 199415
9 199314
10 201612
11 199012
12 201810
13 20178
14 20177
15 20076
16 19896
17 20005

About Yawei Ni

Yawei Ni is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Genetics and Plant Science, having authored 17 papers that have together received 388 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Animal Virus Infections Studies (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Virus-based gene therapy research (2 papers), Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Animal Science and Zoology (100 citations), Infectious Diseases (158 citations), Virology (33 citations), Pharmaceutical Science (32 citations) and Genetics (100 citations). Yawei Ni has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Ian R. Tizard, Maurice C. Kemp, Robert F. Ramig, Melissa M. Herbst‐Kralovetz, Lissette S. Velasquez, Charles J. Arntzen, Debra Turner, Abhay Srinivasan, Jacquelyn Kilbourne and Bill H. McAnalley. Their work appears in journals such as Vaccine, Virology, Virus Research, Planta Medica and Journal of the American Veterinary Medical Association.

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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