Maya Tabet
- Public Health, Environmental and Occupational Health top 10%
- Physiology
- General Health Professions
- Endocrinology, Diabetes and Metabolism
- Health, Toxicology and Mutagenesis
- Co-authors
- Nada AdraNahla HwallaLara NasreddineAli H. MokdadAbla Mehio SibaiJen Jen ChangLouise H. FlickZhengmin Qian
- Topics
- Pregnancy and preeclampsia studies (6 papers)Air Quality and Health Impacts (6 papers)Birth, Development, and Health (4 papers)
- Journals
- The Science of The Total EnvironmentAmerican Journal of EpidemiologyEnvironmental Pollution
- Partner nations
- United StatesChinaLebanon
In The Last Decade
Maya Tabet
26 papers receiving 495 citations
Peers
Comparison fields: 5 of 97
- Public Health, Environmental and Occupational Health 237
- Physiology 79
- General Health Professions 70
- Endocrinology, Diabetes and Metabolism 62
- Health, Toxicology and Mutagenesis 60
Countries citing papers authored by Maya Tabet
This map shows the geographic impact of Maya Tabet'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 Maya Tabet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Tabet more than expected).
Fields of papers citing papers by Maya Tabet
This network shows the impact of papers produced by Maya Tabet. 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 Maya Tabet. The network helps show where Maya Tabet may publish in the future.
Co-authorship network of co-authors of Maya Tabet
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Tabet. A scholar is included among the top collaborators of Maya Tabet 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 Maya Tabet. Maya Tabet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 39 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 23 | |
| 18 | 20 | |
| 19 | 40 | |
| 20 | 222 |
About Maya Tabet
Maya Tabet is a scholar working on Obstetrics and Gynecology, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 507 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Air Quality and Health Impacts (6 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (237 citations), Obstetrics and Gynecology (52 citations) and Pharmacy (24 citations). Maya Tabet has collaborated with scholars based in United States, China and Lebanon. Frequent co-authors include Nada Adra, Nahla Hwalla, Lara Nasreddine, Ali H. Mokdad, Abla Mehio Sibai, Jen Jen Chang, Louise H. Flick, Zhengmin Qian, Michael G. Vaughn and Hualiang Lin. Their work appears in journals such as The Science of The Total Environment, American Journal of Epidemiology and Environmental Pollution.
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.