Zhonghui Tang
Impact in
- Cancer Research top 10%
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Genomics and Chromatin Dynamics 10
- Single-cell and spatial transcriptomics 6
- RNA modifications and cancer 3
-
- Chromosomal and Genetic Variations 4
- Co-authors
- Yijun Ruan (10 shared papers)Changping Zhao (2 shared papers)Shaohua Yuan (1 shared paper)Liping Zhang (2 shared papers)Yonglian Zheng (1 shared paper)Chenguang Xu (1 shared paper)Massimo Gadina (1 shared paper)Golnaz Vahedi (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Cancer Cell (2 papers)Nature Communications (2 papers)Genome biology (2 papers)Protein & Cell (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Zhonghui Tang
32 papers receiving 1.2k citations
Zhonghui Tang's Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 161
- Immunology 229
- Molecular Biology 735
- Plant Science 226
- Biophysics 30
Countries citing papers authored by Zhonghui Tang
This map shows the geographic impact of Zhonghui Tang'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 Zhonghui Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghui Tang more than expected).
Fields of papers citing papers by Zhonghui Tang
This network shows the impact of papers produced by Zhonghui Tang. 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 Zhonghui Tang. The network helps show where Zhonghui Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhonghui Tang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 277 | |
| 2 | ACSS2 acts as a lactyl-CoA synthetase and couples KAT2A to function as a lactyltransferase for histone lactylation and tumor immune evasion Hit paper breakdown → | 2024 | 137 |
| 3 | 2012 | 132 | |
| 4 | 2018 | 116 | |
| 5 | 2022 | 92 | |
| 6 | 2017 | 87 | |
| 7 | 2017 | 69 | |
| 8 | Spatial transcriptomics reveals tryptophan metabolism restricting maturation of intratumoral tertiary lymphoid structures Hit paper breakdown → | 2025 | 36 |
| 9 | 2016 | 35 | |
| 10 | 2021 | 34 | |
| 11 | 2016 | 30 | |
| 12 | 2019 | 29 | |
| 13 | 2020 | 27 | |
| 14 | 2024 | 20 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2025 | 13 | |
| 20 | 2025 | 11 |
About Zhonghui Tang
Zhonghui Tang is a scholar working on Molecular Biology, Plant Science, Genetics, Immunology and Cancer Research, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Single-cell and spatial transcriptomics (6 papers), Genomic variations and chromosomal abnormalities (4 papers), Immune Cell Function and Interaction (4 papers), Chromosomal and Genetic Variations (4 papers), Cell Image Analysis Techniques (3 papers), RNA modifications and cancer (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cancer Research (161 citations), Immunology (229 citations), Molecular Biology (735 citations), Plant Science (226 citations) and Biophysics (30 citations). Zhonghui Tang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yijun Ruan, Changping Zhao, Shaohua Yuan, Liping Zhang, Yonglian Zheng, Chenguang Xu, Massimo Gadina, Golnaz Vahedi, Francis S. Collins and John J. O’Shea. Their work appears in journals such as Nucleic Acids Research, Cancer Cell, Nature Communications, Genome biology and Protein & Cell.
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.