Weiming Ouyang
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Aging top 5%
Papers in
-
- FOXO transcription factor regulation 6
- PI3K/AKT/mTOR signaling in cancer 4
- Bacillus and Francisella bacterial research 4
- Immunology 18
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 8
- Co-authors
- Chuanshu Huang (20 shared papers)Haitian Lu (1 shared paper)Ming O. Li (8 shared papers)Omar Beckett (3 shared papers)Qian Ma (3 shared papers)Ji-Hye Paik (1 shared paper)Ronald A. DePinho (1 shared paper)Richard A. Flavell (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Immunity (4 papers)International Journal of Molecular Sciences (3 papers)Cancer Research (3 papers)Molecular and Cellular Biochemistry (2 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Weiming Ouyang
55 papers receiving 3.7k citations
Weiming Ouyang's Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 1.4k
- Aging 62
- Cancer Research 460
- Oncology 783
- Molecular Biology 1.7k
Countries citing papers authored by Weiming Ouyang
This map shows the geographic impact of Weiming Ouyang'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 Weiming Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Ouyang more than expected).
Fields of papers citing papers by Weiming Ouyang
This network shows the impact of papers produced by Weiming Ouyang. 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 Weiming Ouyang. The network helps show where Weiming Ouyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming Ouyang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inflammation, a Key Event in Cancer Development Hit paper breakdown → | 2006 | 854 |
| 2 | 2008 | 416 | |
| 3 | 2010 | 389 | |
| 4 | 2012 | 335 | |
| 5 | 2009 | 249 | |
| 6 | 2010 | 188 | |
| 7 | 2013 | 165 | |
| 8 | 2010 | 90 | |
| 9 | 2005 | 79 | |
| 10 | 2005 | 73 | |
| 11 | 2011 | 62 | |
| 12 | 2005 | 61 | |
| 13 | 2007 | 49 | |
| 14 | 2006 | 47 | |
| 15 | 2006 | 41 | |
| 16 | 2013 | 40 | |
| 17 | 2006 | 40 | |
| 18 | Generation of monoclonal antibodies to cancer/testis (CT) antigen CT10/MAGE-C2. | 2006 | 38 |
| 19 | 2007 | 38 | |
| 20 | 2004 | 34 |
About Weiming Ouyang
Weiming Ouyang is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pharmacology, having authored 55 papers that have together received 3.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), NF-κB Signaling Pathways (8 papers), FOXO transcription factor regulation (6 papers), Cancer-related Molecular Pathways (6 papers), Inflammatory mediators and NSAID effects (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Bacillus and Francisella bacterial research (4 papers). The work is most often cited by research in Immunology (1.4k citations), Aging (62 citations), Cancer Research (460 citations), Oncology (783 citations) and Molecular Biology (1.7k citations). Weiming Ouyang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Chuanshu Huang, Haitian Lu, Ming O. Li, Omar Beckett, Qian Ma, Ji-Hye Paik, Ronald A. DePinho, Richard A. Flavell, Dongyun Zhang and Jingxia Li. Their work appears in journals such as Journal of Biological Chemistry, Immunity, International Journal of Molecular Sciences, Cancer Research and Molecular and Cellular Biochemistry.
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.