Catherine S. Mao
- Health, Toxicology and Mutagenesis top 1%
- Molecular Biology
- Cancer Research top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Pollution top 5%
- Co-authors
- Katharina M. MainShanna H. SwanFan LiuRobin L. KruseChristine TernandJ. Bruce RedmonJ.Lynn TeagueAntonia M. Calafat
- Topics
- Metabolism and Genetic Disorders (4 papers)Diet, Metabolism, and Disease (4 papers)Diet and metabolism studies (4 papers)
- Partner nations
- United StatesDenmarkAustralia
In The Last Decade
Catherine S. Mao
20 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Health, Toxicology and Mutagenesis 1.0k
- Molecular Biology 379
- Cancer Research 215
- Pediatrics, Perinatology and Child Health 188
- Pollution 171
Countries citing papers authored by Catherine S. Mao
This map shows the geographic impact of Catherine S. 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 Catherine S. Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine S. Mao more than expected).
Fields of papers citing papers by Catherine S. Mao
This network shows the impact of papers produced by Catherine S. 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 Catherine S. Mao. The network helps show where Catherine S. Mao may publish in the future.
Co-authorship network of co-authors of Catherine S. Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine S. Mao. A scholar is included among the top collaborators of Catherine S. 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 Catherine S. Mao. Catherine S. 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 | 3 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 18 | |
| 7 | 30 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 98 | |
| 12 | 34 | |
| 13 | 32 | |
| 14 | Decrease in Anogenital Distance among Male Infants with Prenatal Phthalate Exposurebreakdown → | 1223 |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 7 | |
| 18 | 37 | |
| 19 | 35 | |
| 20 | 12 |
About Catherine S. Mao
Catherine S. Mao is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Urology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Diet, Metabolism, and Disease (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.0k citations), Urology (116 citations) and Chemical Health and Safety (11 citations). Catherine S. Mao has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Katharina M. Main, Shanna H. Swan, Fan Liu, Robin L. Kruse, Christine Ternand, J. Bruce Redmon, J.Lynn Teague, Antonia M. Calafat, Shannon D. Sullivan and Jennifer K. Yee. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and The FASEB Journal.
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.