Mei Gong
- Immunology top 1%
- Immune Response and Inflammation 10
- Immune Cell Function and Interaction 4
- interferon and immune responses 3
- Immune cells in cancer 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Rheumatology top 5%
- Microbiology top 5%
- Antimicrobial Peptides and Activities 3
- Cancer Research top 10%
- NF-κB Signaling Pathways 3
- Molecular Biology top 10%
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- CAR-T cell therapy research 2
- Co-authors
- Cristiana GuiducciDouglas T. GolenbockBrian G. MonksRobert L. CoffmanMasahiro YamamotoKatherine A. FitzgeraldSimon RothenfußerNadège Goutagny
- Cited by
- ImmunologyRheumatologyMicrobiology
- Journals
- The Journal of Immunology (3 papers)The Journal of Experimental Medicine (3 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Mei Gong
16 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 2.0k
- Rheumatology 326
- Microbiology 111
- Cancer Research 248
- Molecular Biology 897
Countries citing papers authored by Mei Gong
This map shows the geographic impact of Mei Gong'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 Mei Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Gong more than expected).
Fields of papers citing papers by Mei Gong
This network shows the impact of papers produced by Mei Gong. 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 Mei Gong. The network helps show where Mei Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mei Gong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 2 | |
| 2 | 2016 | 3 | |
| 3 | 2016 | 371 | |
| 4 | 2016 | 197 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 34 | |
| 7 | 2013 | 139 | |
| 8 | 2012 | 115 | |
| 9 | 2011 | 40 | |
| 10 | 2010 | 286 | |
| 11 | 2010 | 170 | |
| 12 | 2009 | 90 | |
| 13 | 2009 | 160 | |
| 14 | 2009 | 113 | |
| 15 | 2007 | 375 | |
| 16 | The RNA Helicase Lgp2 Inhibits TLR-Independent Sensing of Viral Replication by Retinoic Acid-Inducible Gene-Ibreakdown → | 2005 | 504 |
About Mei Gong
Mei Gong is a scholar working on Immunology, Microbiology, Cancer Research, Endocrinology and Oncology, having authored 16 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Immune Cell Function and Interaction (4 papers), interferon and immune responses (3 papers), Antimicrobial Peptides and Activities (3 papers), NF-κB Signaling Pathways (3 papers), CAR-T cell therapy research (2 papers), Immune cells in cancer (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Immunology (2.0k citations), Rheumatology (326 citations), Microbiology (111 citations), Cancer Research (248 citations) and Molecular Biology (897 citations). Mei Gong has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Cristiana Guiducci, Douglas T. Golenbock, Brian G. Monks, Robert L. Coffman, Masahiro Yamamoto, Katherine A. Fitzgerald, Simon Rothenfußer, Nadège Goutagny, Shizuo Akira and Franck J. Barrat. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Nature Immunology, Journal of Lipid Research and PLoS Pathogens.
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.