Ming Yang

2.9k citations
135 papers · 2.2k · h-index 23

Impact in

Papers in

Ming Yang

121 papers receiving 2.1k citations

Peers

Ming Yang
Comparison fields: 5 of 138
  • Biotechnology 263
  • Virology 109
  • Immunology and Allergy 113
  • Infectious Diseases 336
  • Immunology 300
Replace Mona Omar Mohsen with:
Mona Omar Mohsen Switzerland
Mohammad Hossein Modarressi Iran
Alain Lamarre Canada
Yvonne J. Rosenberg United States
Stephanie M. Seveau United States
Heng Fong Seow Malaysia
C. Rick Lyons United States
Arne Olsén Sweden
Carol L. K. Sabourin United States
Navid Nezafat Iran
Ming Yang relative to Mona Omar Mohsen Switzerland Mona Omar Mohsen's profile →
Citations per field
00.5×5×10×15×21.5×
Mona Omar Mohsen · 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 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000179
2 2017116
3 2002101
4 201297
5 201792
6 199686
7 202081
8 201768
9 200164
10 200062
11 202258
12 201653
13 201944
14 202142
15
Measurement of mosquito Aedes vexans salivary gland-specific IgE and IgG antibodies and the distribution of these antibodies in human sera.
199541
16 201840
17
Molecular basis of cross-reactivity among allergen-specific human T cells: T-cell receptor V alpha gene usage and epitope structure.
199438
18 201238
19 202235
20 200030

About Ming Yang

Ming Yang is a scholar working on Immunology, Immunology and Allergy, Biotechnology, Agronomy and Crop Science and Molecular Biology, having authored 135 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Transgenic Plants and Applications (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Mosquito-borne diseases and control (6 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Allergic Rhinitis and Sensitization (6 papers), Immunotherapy and Immune Responses (6 papers) and Advanced X-ray Imaging Techniques (5 papers). The work is most often cited by research in Biotechnology (263 citations), Virology (109 citations), Immunology and Allergy (113 citations), Infectious Diseases (336 citations) and Immunology (300 citations). Ming Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael Butler, Haiyan Sun, Huafang Lai, Qiang Chen, F. Estelle R. Simons, Zhikang Peng, Matthew W. Dent, Jonathan Hurtado, Norman J. Huzel and Shyam S. Mohapatra. Their work appears in journals such as Frontiers in Immunology, Viruses, International Immunopharmacology, PLoS ONE and Frontiers in Microbiology.

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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