Hui Tang
- Cancer Research top 5%
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 14
- Animal Science and Zoology top 5%
- Behavioral Neuroscience top 10%
- Molecular Biology top 10%
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 8
- Circular RNAs in diseases 7
- RNA Research and Splicing 7
- Genetics top 5%
- Genetic and phenotypic traits in livestock 17
- Genetic Mapping and Diversity in Plants and Animals 10
- Co-authors
- Alfonso EirinLilach O. LermanXiang-Yang ZhuYan DongRuimin WangDarrell W. BrannAmir LermanRen‐Cheng Tang
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hui Tang
116 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 569
- Animal Science and Zoology 204
- Behavioral Neuroscience 64
- Molecular Biology 1.1k
- Genetics 427
Countries citing papers authored by Hui Tang
This map shows the geographic impact of Hui 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 Hui Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Tang more than expected).
Fields of papers citing papers by Hui Tang
This network shows the impact of papers produced by Hui 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 Hui Tang. The network helps show where Hui Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 54 | |
| 9 | 2020 | 23 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 29 | |
| 13 | 2017 | 26 | |
| 14 | 2017 | 31 | |
| 15 | 2016 | 9 | |
| 16 | 2014 | 18 | |
| 17 | 2010 | 39 | |
| 18 | Application of NAT Connection Between Configuration Hospital and Medicare Data Center | 2009 | 1 |
| 19 | Identification of polymorphism of the callipyge mutation gene (CLPG) in goats and its associations with production traits. | 2009 | 1 |
| 20 | 2009 | 116 |
About Hui Tang
Hui Tang is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (17 papers), MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Epigenetics and DNA Methylation (8 papers), Circular RNAs in diseases (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cancer Research (569 citations), Animal Science and Zoology (204 citations) and Behavioral Neuroscience (64 citations). Hui Tang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Alfonso Eirin, Lilach O. Lerman, Xiang-Yang Zhu, Yan Dong, Ruimin Wang, Darrell W. Brann, Amir Lerman, Ren‐Cheng Tang, Surendra Dasari and John R. Woollard. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.
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.