Yuhua Nong
- Cancer Research top 5%
- NF-κB Signaling Pathways 3
- Immunology top 10%
- Immune Response and Inflammation 3
- T-cell and Retrovirus Studies 2
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Immunology and Allergy top 5%
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- Lymphoma Diagnosis and Treatment 2
- Genetics top 10%
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- HIV Research and Treatment 1
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- Aluminum toxicity and tolerance in plants and animals 1
- Co-authors
- Heinz G. RemoldMichael HepperleDanyi WenYajun XuJosé M. C. RibeiroRichard G. TitusLouis M. StaudtLloyd T. Lam
- Journals
- The Journal of Immunology (3 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Ecotoxicology and Environmental Safety (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Yuhua Nong
9 papers receiving 953 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 311
- Immunology 358
- Immunology and Allergy 99
- Pathology and Forensic Medicine 248
- Genetics 127
Countries citing papers authored by Yuhua Nong
This map shows the geographic impact of Yuhua Nong'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 Yuhua Nong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhua Nong more than expected).
Fields of papers citing papers by Yuhua Nong
This network shows the impact of papers produced by Yuhua Nong. 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 Yuhua Nong. The network helps show where Yuhua Nong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuhua Nong, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2006 | 101 | |
| 4 | Small molecule inhibitors of IkappaB kinase are selectively toxic for subgroups of diffuse large B-cell lymphoma defined by gene expression profiling. | 2005 | 252 |
| 5 | 2005 | 187 | |
| 6 | 2001 | 56 | |
| 7 | 1991 | 6 | |
| 8 | 1989 | 107 | |
| 9 | 1989 | 173 | |
| 10 | 1988 | 93 |
About Yuhua Nong
Yuhua Nong is a scholar working on Immunology, Virology, Cancer Research, Immunology and Allergy and Microbiology, having authored 10 papers that have together received 977 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (3 papers), T-cell and Retrovirus Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Lymphoma Diagnosis and Treatment (2 papers), HIV Research and Treatment (1 paper) and Aluminum toxicity and tolerance in plants and animals (1 paper). The work is most often cited by research in Cancer Research (311 citations), Immunology (358 citations), Immunology and Allergy (99 citations), Pathology and Forensic Medicine (248 citations) and Genetics (127 citations). Yuhua Nong has collaborated with scholars based in United States and China. Frequent co-authors include Heinz G. Remold, Michael Hepperle, Danyi Wen, Yajun Xu, José M. C. Ribeiro, Richard G. Titus, Louis M. Staudt, Lloyd T. Lam, Maria Hottelet and Julian Adams. Their work appears in journals such as The Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics, Ecotoxicology and Environmental Safety, Clinical Cancer Research and Journal of Investigative Dermatology.
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.