Ming Yang

2.8k citations
132 papers · 1.9k indexed · h-index 21

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Immune Response and Inflammation 8
    • Immunotherapy and Immune Responses 7

Ming Yang

122 papers receiving 1.9k citations

Peers

Ming Yang
Comparison fields: 5 of 142
  • Biotechnology 225
  • Immunology and Allergy 138
  • Infectious Diseases 363
  • Immunology 311
  • Virology 60
Replace Yuanyuan Li with:
Yuanyuan Li China
Zhongtian Qi China
Arne Olsén Sweden
Nina M. van Sorge Netherlands
Gary T. Jennings Switzerland
Carol L. Sabourin United States
Vaibhav Tiwari United States
Chintamani D. Atreya United States
Heng Fong Seow Malaysia
Ming Yang relative to Yuanyuan Li China Yuanyuan Li's profile →
Citations per field
00.5×3.9×
Yuanyuan Li · 1×
Citations per year

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000165
2 2017108
3 200298
4 201288
5 201784
6 201682
7 199671
8 201760
9 200157
10 202256
11 200055
12 201644
13 201939
14
Measurement of mosquito Aedes vexans salivary gland-specific IgE and IgG antibodies and the distribution of these antibodies in human sera.
199537
15 202136
16 201836
17
Molecular basis of cross-reactivity among allergen-specific human T cells: T-cell receptor V alpha gene usage and epitope structure.
199435
18 201232
19 202229
20 200029

About Ming Yang

Ming Yang is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Infectious Diseases, having authored 132 papers that have together received 1.9k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (8 papers), Immune Response and Inflammation (8 papers), Transgenic Plants and Applications (7 papers), Immunotherapy and Immune Responses (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Food Allergy and Anaphylaxis Research (6 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Biotechnology (225 citations), Immunology and Allergy (138 citations), Infectious Diseases (363 citations), Immunology (311 citations) and Virology (60 citations). Ming Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael Butler, Qiang Chen, Huafang Lai, Haiyan Sun, Zhikang Peng, F. Estelle R. Simons, Matthew Dent, Jonathan Hurtado, N. Huzel and Shyam S. Mohapatra. Their work appears in journals such as Frontiers in Immunology, PLoS ONE, Viruses, International Immunopharmacology and Advanced Science.

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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