Meen‐Yau Thum
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Immunology top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Co-authors
- Hossam AbdallaSrdjan SasoAmolak S. BansalTimothy Bracewell‐MilnesBrian FordMark R. JohnsonHassan ShehataJulian Norman‐Taylor
- Topics
- Reproductive Biology and Fertility (16 papers)Reproductive Health and Technologies (15 papers)Assisted Reproductive Technology and Twin Pregnancy (15 papers)
- Partner nations
- United KingdomUnited StatesEgypt
In The Last Decade
Meen‐Yau Thum
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Reproductive Medicine 665
- Public Health, Environmental and Occupational Health 559
- Immunology 380
- Pediatrics, Perinatology and Child Health 315
- Obstetrics and Gynecology 152
Countries citing papers authored by Meen‐Yau Thum
This map shows the geographic impact of Meen‐Yau Thum'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 Meen‐Yau Thum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meen‐Yau Thum more than expected).
Fields of papers citing papers by Meen‐Yau Thum
This network shows the impact of papers produced by Meen‐Yau Thum. 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 Meen‐Yau Thum. The network helps show where Meen‐Yau Thum may publish in the future.
Co-authorship network of co-authors of Meen‐Yau Thum
This figure shows the co-authorship network connecting the top 25 collaborators of Meen‐Yau Thum. A scholar is included among the top collaborators of Meen‐Yau Thum 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 Meen‐Yau Thum. Meen‐Yau Thum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 44 | |
| 9 | 28 | |
| 10 | 32 | |
| 11 | 10 | |
| 12 | 17 | |
| 13 | 46 | |
| 14 | 32 | |
| 15 | 8 | |
| 16 | 30 | |
| 17 | 19 | |
| 18 | 55 | |
| 19 | 93 | |
| 20 | 6 |
About Meen‐Yau Thum
Meen‐Yau Thum is a scholar working on Transplantation, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Reproductive Health and Technologies (15 papers) and Assisted Reproductive Technology and Twin Pregnancy (15 papers). The work is most often cited by research in Reproductive Medicine (665 citations), Transplantation (123 citations) and Obstetrics and Gynecology (152 citations). Meen‐Yau Thum has collaborated with scholars based in United Kingdom, United States and Egypt. Frequent co-authors include Hossam Abdalla, Srdjan Saso, Amolak S. Bansal, Timothy Bracewell‐Milnes, Brian Ford, Mark R. Johnson, Hassan Shehata, Julian Norman‐Taylor, N. Sumar and Shabana Bora. Their work appears in journals such as Human Reproduction, Fertility and Sterility and Human Reproduction Update.
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.