Ting Mao
- Health, Toxicology and Mutagenesis top 5%
- Molecular Biology
- Epidemiology
- Cell Biology top 5%
- Atmospheric Science top 10%
- Co-authors
- Bixiong YeZhihuan ZhangTieguan WangJiabin ZhouNingning ZhongMengle ShaoYong LiuManeesha S. Mohan
- Topics
- Toxic Organic Pollutants Impact (6 papers)Endometriosis Research and Treatment (5 papers)GABA and Rice Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Ting Mao
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Health, Toxicology and Mutagenesis 331
- Molecular Biology 291
- Epidemiology 233
- Cell Biology 233
- Atmospheric Science 145
Countries citing papers authored by Ting Mao
This map shows the geographic impact of Ting Mao'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 Ting Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Mao more than expected).
Fields of papers citing papers by Ting Mao
This network shows the impact of papers produced by Ting Mao. 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 Ting Mao. The network helps show where Ting Mao may publish in the future.
Co-authorship network of co-authors of Ting Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Mao. A scholar is included among the top collaborators of Ting Mao 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 Ting Mao. Ting Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 34 | |
| 12 | 6 | |
| 13 | Antioxidant activity of the different extracts isolated from Gardenia jasminoides | 2 |
| 14 | 16 | |
| 15 | 120 | |
| 16 | 19 | |
| 17 | 78 | |
| 18 | [GC x GC measurements of atmospheric aromatic compounds near a busy high-speed road in Beijing]. | 1 |
| 19 | 87 | |
| 20 | [Concentration and distribution characterization of polycyclic aromatic hydrocarbons in airborne particles with different sizes]. | 4 |
About Ting Mao
Ting Mao is a scholar working on Biochemistry, Health, Toxicology and Mutagenesis and Reproductive Medicine, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (6 papers), Endometriosis Research and Treatment (5 papers) and GABA and Rice Research (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (331 citations), Cell Biology (233 citations) and Biochemistry (70 citations). Ting Mao has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Bixiong Ye, Zhihuan Zhang, Tieguan Wang, Jiabin Zhou, Ningning Zhong, Mengle Shao, Yong Liu, Maneesha S. Mohan, Yifu Qiu and Xuping Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.