Ming Wang

2.3k citations
74 papers · 1.9k · h-index 24

Impact in

    • Parasitic Infections and Diagnostics
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

    • Parasitic Infections and Diagnostics 7
    • Influenza Virus Research Studies 13
    • Virology and Viral Diseases 8
    • Herpesvirus Infections and Treatments 6

Ming Wang

72 papers receiving 1.9k citations

Peers

Ming Wang
Comparison fields: 5 of 114
  • Parasitology 284
  • Infectious Diseases 535
  • Animal Science and Zoology 286
  • Pharmaceutical Science 109
  • Small Animals 125
Replace Hongxuan He with:
Hongxuan He China
Haibin Huang China
Bert Devriendt Belgium
Radhey S. Kaushik United States
Tae‐Wook Hahn South Korea
Samuel Paulo Cibulski Brazil
Guilian Yang China
Yanlong Jiang China
Xiangan Han China
Gopal Dhinakar Raj India
Ming Wang relative to Hongxuan He China Hongxuan He's profile →
Citations per field
00.5×2×2.8×
Hongxuan He · 1×
Citations per year

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011311
2 200888
3 201275
4 201475
5 202074
6 202164
7 201061
8 201653
9 201852
10 201750
11 201950
12 201242
13 200841
14 201841
15 201241
16 201440
17 201739
18 200632
19 201731
20 200631

About Ming Wang

Ming Wang is a scholar working on Parasitology, Epidemiology, Immunology, Animal Science and Zoology and Infectious Diseases, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), interferon and immune responses (9 papers), Virology and Viral Diseases (8 papers), Parasitic Infections and Diagnostics (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (6 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Parasitology (284 citations), Infectious Diseases (535 citations), Animal Science and Zoology (286 citations), Pharmaceutical Science (109 citations) and Small Animals (125 citations). Ming Wang has collaborated with scholars based in China, Indonesia and United States. Frequent co-authors include Dechang Yang, Guo-zhong Zhang, Yanxin Hu, Hrvoje Pandžić, George Fu Gao, Shuyu Xie, Wenzhong Zhou, Baoliang Pan, Xishan Lu and Peiyi Wang. Their work appears in journals such as PLoS ONE, Veterinary Parasitology, Frontiers in Microbiology, Avian Diseases and Biochemical and Biophysical Research Communications.

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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