T Hai
- Cancer Research top 10%
- NF-κB Signaling Pathways 2
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- T-cell and Retrovirus Studies 1
- Immunology and Allergy top 10%
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- Renal and related cancers 2
- Signaling Pathways in Disease 2
- CRISPR and Genetic Engineering 2
- Cell Biology top 10%
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- Adipose Tissue and Metabolism 2
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- Viral gastroenteritis research and epidemiology 1
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- Virus-based gene therapy research 1
- Co-authors
- James WhelanXin YinJames W. DeWilleGuosheng LiangJohn F. DeLamarterWiweka KaszubskaRob Hooft van HuijsduijnenPaola Ghersa
- Journals
- Oncogene (5 papers)International Journal of Cardiology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
T Hai
15 papers receiving 873 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 182
- Immunology 211
- Immunology and Allergy 49
- Molecular Biology 541
- Cell Biology 117
Countries citing papers authored by T Hai
This map shows the geographic impact of T Hai'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 T Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hai more than expected).
Fields of papers citing papers by T Hai
This network shows the impact of papers produced by T Hai. 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 T Hai. The network helps show where T Hai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T Hai, 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 | 2017 | 12 | |
| 2 | 2017 | 31 | |
| 3 | 2015 | 24 | |
| 4 | 2015 | 19 | |
| 5 | 2014 | 58 | |
| 6 | 2010 | 50 | |
| 7 | 2008 | 5 | |
| 8 | 2007 | 171 | |
| 9 | 2006 | 66 | |
| 10 | An alternative splice product of I kappa B kinase (IKK gamma), IKK gamma-Delta, differentially mediates cytokine and human T-cell leukemia virus type 1 tax-induced NF-kappa B activation | 2006 | 2 |
| 11 | ATF3: A transcription repressor involved in stress responses | 1997 | 1 |
| 12 | 1995 | 63 | |
| 13 | 1994 | 216 | |
| 14 | 1993 | 162 | |
| 15 | 1989 | 4 |
About T Hai
T Hai is a scholar working on Cancer Research, Immunology and Allergy, Rehabilitation, Cell Biology and Molecular Biology, having authored 15 papers that have together received 884 indexed citations. Recurring topics across this work include Renal and related cancers (2 papers), Adipose Tissue and Metabolism (2 papers), Signaling Pathways in Disease (2 papers), CRISPR and Genetic Engineering (2 papers), NF-κB Signaling Pathways (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Virus-based gene therapy research (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Cancer Research (182 citations), Immunology (211 citations), Immunology and Allergy (49 citations), Molecular Biology (541 citations) and Cell Biology (117 citations). T Hai has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include James Whelan, Xin Yin, James W. DeWille, Guosheng Liang, John F. DeLamarter, Wiweka Kaszubska, Rob Hooft van Huijsduijnen, Paola Ghersa, Ziyan Wang and Chunhong Yan. Their work appears in journals such as Oncogene, International Journal of Cardiology, Journal of Biological Chemistry, Diabetologia and Clinical & Experimental Immunology.
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.