Tao Meng
- Endocrinology, Diabetes and Metabolism top 5%
- Obstetrics and Gynecology top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Pathology and Forensic Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- Weiping TengZhongyan ShanJinyuan MaoXiaochen XieJianling DuChenyan LiChenling FanZhengnan Gao
- Topics
- Pregnancy and preeclampsia studies (7 papers)Thyroid Disorders and Treatments (6 papers)Neonatal Health and Biochemistry (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Partner nations
- China
In The Last Decade
Tao Meng
13 papers receiving 397 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 303
- Obstetrics and Gynecology 141
- Pediatrics, Perinatology and Child Health 139
- Pathology and Forensic Medicine 44
- Public Health, Environmental and Occupational Health 44
Countries citing papers authored by Tao Meng
This map shows the geographic impact of Tao Meng'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 Tao Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Meng more than expected).
Fields of papers citing papers by Tao Meng
This network shows the impact of papers produced by Tao Meng. 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 Tao Meng. The network helps show where Tao Meng may publish in the future.
Co-authorship network of co-authors of Tao Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Meng. A scholar is included among the top collaborators of Tao Meng 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 Tao Meng. Tao Meng 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 | 22 | |
| 3 | 16 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 54 | |
| 9 | 69 | |
| 10 | 5 | |
| 11 | 172 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | [Expression of lectin-liked oxidized low density lipoprotein receptor-1 and apoptosis associated genes in placenta and the relationship thereof with morbility of early-onset preeclampsia]. | 2 |
About Tao Meng
Tao Meng is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 407 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Thyroid Disorders and Treatments (6 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (303 citations), Obstetrics and Gynecology (141 citations) and Pediatrics, Perinatology and Child Health (139 citations). Tao Meng has collaborated with scholars based in China. Frequent co-authors include Weiping Teng, Zhongyan Shan, Jinyuan Mao, Xiaochen Xie, Jianling Du, Chenyan Li, Chenling Fan, Zhengnan Gao, Weiwei Zhou and Yang Liu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BioMed Research International and Thyroid.
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.