Meng Kian Tee
- Molecular Biology top 10%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology top 10%
- Reproductive Medicine top 2%
- Co-authors
- Walter L. MillerA. W. BrandenbergerRobert B. JaffeVictor A. ChaoJanet Y. LeeRobert N. TaylorJean‐Louis VigneTaninee Sahakitrungruang
- Topics
- Estrogen and related hormone effects (10 papers)Hormonal and reproductive studies (9 papers)Sexual Differentiation and Disorders (7 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Meng Kian Tee
30 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 735
- Genetics 636
- Endocrinology, Diabetes and Metabolism 375
- Oncology 360
- Reproductive Medicine 302
Countries citing papers authored by Meng Kian Tee
This map shows the geographic impact of Meng Kian Tee'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 Meng Kian Tee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Kian Tee more than expected).
Fields of papers citing papers by Meng Kian Tee
This network shows the impact of papers produced by Meng Kian Tee. 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 Meng Kian Tee. The network helps show where Meng Kian Tee may publish in the future.
Co-authorship network of co-authors of Meng Kian Tee
This figure shows the co-authorship network connecting the top 25 collaborators of Meng Kian Tee. A scholar is included among the top collaborators of Meng Kian Tee 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 Meng Kian Tee. Meng Kian Tee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 87 | |
| 3 | 25 | |
| 4 | 36 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 37 | |
| 8 | 43 | |
| 9 | 14 | |
| 10 | 30 | |
| 11 | 41 | |
| 12 | 13 | |
| 13 | 60 | |
| 14 | 23 | |
| 15 | 11 | |
| 16 | 83 | |
| 17 | 29 | |
| 18 | 33 | |
| 19 | 284 | |
| 20 | 40 |
About Meng Kian Tee
Meng Kian Tee is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Hormonal and reproductive studies (9 papers) and Sexual Differentiation and Disorders (7 papers). The work is most often cited by research in Reproductive Medicine (302 citations), Genetics (636 citations) and Endocrinology, Diabetes and Metabolism (375 citations). Meng Kian Tee has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Walter L. Miller, A. W. Brandenberger, Robert B. Jaffe, Victor A. Chao, Janet Y. Lee, Robert N. Taylor, Jean‐Louis Vigne, Taninee Sahakitrungruang, Christina Tzagarakis-Foster and Aleksandra Čvoro. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.
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.