Gang Meng
- Immunology top 2%
- Infectious Diseases top 2%
- Virology top 1%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- Phillip D. SmithMarty T. SellersJan M. OrensteinMeg Mosteller‐BarnumLesley E. SmythiesRonald H. ClementsWilliam H. BenjaminGeorge M. Shaw
- Topics
- HIV/AIDS Research and Interventions (13 papers)HIV Research and Treatment (12 papers)HIV, Drug Use, Sexual Risk (9 papers)
- Journals
- Journal of Clinical InvestigationNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Gang Meng
20 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 1.1k
- Infectious Diseases 577
- Virology 520
- Molecular Biology 474
- Epidemiology 424
Countries citing papers authored by Gang Meng
This map shows the geographic impact of Gang 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 Gang Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Meng more than expected).
Fields of papers citing papers by Gang Meng
This network shows the impact of papers produced by Gang 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 Gang Meng. The network helps show where Gang Meng may publish in the future.
Co-authorship network of co-authors of Gang Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Meng. A scholar is included among the top collaborators of Gang 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 Gang Meng. Gang Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 29 | |
| 4 | 43 | |
| 5 | 71 | |
| 6 | 36 | |
| 7 | Two internet-based approaches to promoting HIV counselling and testing for MSM in China | 4 |
| 8 | 62 | |
| 9 | 8 | |
| 10 | 36 | |
| 11 | Human intestinal macrophages display profound inflammatory anergy despite avid phagocytic and bacteriocidal activitybreakdown → | 647 |
| 12 | Human intestinal macrophages display profound inflammatory anergy despite avid phagocytic and bacteriocidal activitybreakdown → | 660 |
| 13 | 77 | |
| 14 | 195 | |
| 15 | 66 | |
| 16 | 31 | |
| 17 | 44 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 41 |
About Gang Meng
Gang Meng is a scholar working on Virology, Emergency Medicine and Infectious Diseases, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (13 papers), HIV Research and Treatment (12 papers) and HIV, Drug Use, Sexual Risk (9 papers). The work is most often cited by research in Virology (520 citations), Immunology (1.1k citations) and Infectious Diseases (577 citations). Gang Meng has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Phillip D. Smith, Marty T. Sellers, Jan M. Orenstein, Meg Mosteller‐Barnum, Lesley E. Smythies, Ronald H. Clements, William H. Benjamin, George M. Shaw, Martin F. Graham and Ling Li. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and SHILAP Revista de lepidopterología.
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.