Alex Tan
Impact in
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- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Growth Hormone and Insulin-like Growth Factors
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Mark D. Kilby (2 shared papers)A Coomarasamy (2 shared papers)Ellen Knox (2 shared papers)J. A. Franklyn (1 shared paper)Shakila Thangaratinam (2 shared papers)Arul Earnest (2 shared papers)Yee‐Sin Leo (1 shared paper)Colin S. Tan (1 shared paper)
- Journals
- Cancers (1 paper)BMJ Open (1 paper)Experimental and Clinical Endocrinology & Diabetes (1 paper)Clinical Neurology and Neurosurgery (1 paper)BJOG An International Journal of Obstetrics & Gynaecology (1 paper)
- Partner nations
- United KingdomSpainSingapore
In The Last Decade
Alex Tan
8 papers receiving 512 citations
Peers
Comparison fields: 5 of 56
- Endocrinology, Diabetes and Metabolism 307
- Obstetrics and Gynecology 126
- Reproductive Medicine 83
- Infectious Diseases 81
- Public Health, Environmental and Occupational Health 111
Countries citing papers authored by Alex Tan
This map shows the geographic impact of Alex Tan'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 Alex Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Tan more than expected).
Fields of papers citing papers by Alex Tan
This network shows the impact of papers produced by Alex Tan. 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 Alex Tan. The network helps show where Alex Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 388 | |
| 2 | 2006 | 81 | |
| 3 | 2014 | 31 | |
| 4 | 1998 | 17 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2012 | 2 | |
| 8 | 2022 | 2 |
About Alex Tan
Alex Tan is a scholar working on Infectious Diseases, Epidemiology, Obstetrics and Gynecology, Genetics and Reproductive Medicine, having authored 8 papers that have together received 533 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Metabolism and Genetic Disorders (1 paper), Thyroid Disorders and Treatments (1 paper), Endometriosis Research and Treatment (1 paper), Delphi Technique in Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Reproductive System and Pregnancy (1 paper) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (307 citations), Obstetrics and Gynecology (126 citations), Reproductive Medicine (83 citations), Infectious Diseases (81 citations) and Public Health, Environmental and Occupational Health (111 citations). Alex Tan has collaborated with scholars based in United Kingdom, Spain and Singapore. Frequent co-authors include Mark D. Kilby, A Coomarasamy, Ellen Knox, J. A. Franklyn, Shakila Thangaratinam, Arul Earnest, Yee‐Sin Leo, Colin S. Tan, Mark Chen and Mark E. Puhaindran. Their work appears in journals such as Cancers, BMJ Open, Experimental and Clinical Endocrinology & Diabetes, Clinical Neurology and Neurosurgery and BJOG An International Journal of Obstetrics & Gynaecology.
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.