Wilson S. Meng

2.2k total citations
61 papers, 1.8k citations indexed

About

Wilson S. Meng is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wilson S. Meng has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 31 papers in Molecular Biology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wilson S. Meng's work include Immunotherapy and Immune Responses (30 papers), RNA Interference and Gene Delivery (17 papers) and T-cell and B-cell Immunology (15 papers). Wilson S. Meng is often cited by papers focused on Immunotherapy and Immune Responses (30 papers), RNA Interference and Gene Delivery (17 papers) and T-cell and B-cell Immunology (15 papers). Wilson S. Meng collaborates with scholars based in United States, United Kingdom and Japan. Wilson S. Meng's co-authors include Yi Wen, Lisa H. Butterfield, James S. Economou, Antoni Ribas, William H. McBride, Ngoc B. Pham, Vivian B. Dissette, John A. Glaspy, Ellen S. Gawalt and Nick Giannoukakis and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biomaterials.

In The Last Decade

Wilson S. Meng

61 papers receiving 1.8k citations

Peers

Wilson S. Meng
Comparison fields: 5 of 104
  • Molecular Biology 844
  • Immunology 822
  • Oncology 401
  • Biomaterials 334
  • Biomedical Engineering 246
Replace Jianxin Dai with:
Jianxin Dai China
Wenxue Ma United States
Julia Steitz Germany
Hélène Dumortier France
Ángel M. Carcaboso Spain
Tracie Delgado United States
Marek Kovář Czechia
Joshua C. Doloff United States
Srinivas Ramishetti Israel
Wolfgang Zauner Austria
Jianxin Dai China View profile →
Citations per field, relative to Wilson S. Meng
Wilson S. Meng · 1×
Citations per year, relative to Wilson S. Meng
Wilson S. Meng · 1×

Countries citing papers authored by Wilson S. Meng

Since Specialization
Citations

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

Fields of papers citing papers by Wilson S. Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wilson S. Meng. 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 Wilson S. Meng. The network helps show where Wilson S. Meng may publish in the future.

Co-authorship network of co-authors of Wilson S. Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Wilson S. Meng. A scholar is included among the top collaborators of Wilson S. Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wilson S. Meng. Wilson S. Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 6
3 3
4 22
5 18
6 31
7 9
8 57
9 89
10 23
11 9
12 9
13 12
14
Human glioma cell models resistant to alloreactive cytotoxic T lymphocytes
1
15 99
16 26
17 7
18
alpha-Fetoprotein-specific tumor immunity induced by plasmid prime-adenovirus boost genetic vaccination.
88
19 111
20 23

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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