Suting Wang

738 citations
38 papers · 581 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Viral gastroenteritis research and epidemiology
    • HIV/AIDS drug development and treatment

Papers in

Suting Wang

37 papers receiving 575 citations

Peers

Suting Wang
Comparison fields: 5 of 59
  • Virology 101
  • Infectious Diseases 316
  • Cardiology and Cardiovascular Medicine 253
  • Animal Science and Zoology 42
  • Epidemiology 128
Replace María Cecilia Freire with:
María Cecilia Freire Argentina
Shoichi Sakaguchi Japan
Tamara Bar-Magen Canada
C Jayavasu Thailand
Robert J. Hurrelbrink Australia
Ricky D. Adams United States
K. B. Chua Malaysia
D. Marissens Belgium
Mabel Berois Uruguay
Conall McCaughey United Kingdom
Suting Wang relative to María Cecilia Freire Argentina María Cecilia Freire's profile →
Citations per field
00.5×2×3×4×5×
María Cecilia Freire · 1×
Citations per year

Countries citing papers authored by Suting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Suting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201461
3 201442
4 201435
5 201634
6 201433
7 201423
8 201822
9 201520
10 201019
11 201319
12 202218
13 201617
14 200815
15 201012
16 20139
17 20248
18 20228
19 20158
20 20258

About Suting Wang

Suting Wang is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Agronomy and Crop Science and Epidemiology, having authored 38 papers that have together received 581 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (21 papers), Viral Infections and Immunology Research (19 papers), Animal Virus Infections Studies (5 papers), Animal Disease Management and Epidemiology (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Respiratory viral infections research (3 papers), HIV Research and Treatment (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Virology (101 citations), Infectious Diseases (316 citations), Cardiology and Cardiovascular Medicine (253 citations), Animal Science and Zoology (42 citations) and Epidemiology (128 citations). Suting Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaojuan Lin, Zexin Tao, Aiqiang Xu, Lizhi Song, Yanyan Song, Jianhui Nie, Youchun Wang, Haiyan Wang, Courtney Prochnow and Wenbo Wang. Their work appears in journals such as Scientific Reports, Archives of Virology, Food and Environmental Virology, Virus Genes and Virology Journal.

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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