Na Tang
- Molecular Biology top 10%
- Genetics top 10%
- Oncology
- Epidemiology
- Microbiology top 5%
- Co-authors
- Yongxiu YaoVenugopal NairYaoyao ZhangZhiqiang ShenZhengyan GuoXiaomei TongYihua ChenJie Feng
- Topics
- CRISPR and Genetic Engineering (19 papers)Virus-based gene therapy research (8 papers)Herpesvirus Infections and Treatments (7 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Na Tang
54 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 803
- Genetics 244
- Oncology 232
- Epidemiology 187
- Microbiology 136
Countries citing papers authored by Na Tang
This map shows the geographic impact of Na 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 Na Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Tang more than expected).
Fields of papers citing papers by Na Tang
This network shows the impact of papers produced by Na 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 Na Tang. The network helps show where Na Tang may publish in the future.
Co-authorship network of co-authors of Na Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Na Tang. A scholar is included among the top collaborators of Na Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Na Tang. Na Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | Identification of antimicrobial peptides from the human gut microbiome using deep learningbreakdown → | 296 |
| 13 | 17 | |
| 14 | 27 | |
| 15 | 20 | |
| 16 | 40 | |
| 17 | 23 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 24 |
About Na Tang
Na Tang is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (19 papers), Virus-based gene therapy research (8 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Microbiology (136 citations), Business and International Management (29 citations) and Molecular Biology (803 citations). Na Tang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yongxiu Yao, Venugopal Nair, Yaoyao Zhang, Zhiqiang Shen, Zhengyan Guo, Xiaomei Tong, Yihua Chen, Jie Feng, Min Wang and Yue Ma. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.
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.