Mei-Ling Siu–Caldera
- Pathology and Forensic Medicine top 5%
- Genetics
- Molecular Biology
- Nutrition and Dietetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Milan R. UskokovićG. Satyanarayana ReddyPaul VourosG.S. ReddyAndrew WeiskopfD.Sunita RaoAnthony W. NormanW. H. OKAMURA
- Topics
- Vitamin D Research Studies (17 papers)Estrogen and related hormone effects (7 papers)Retinoids in leukemia and cellular processes (4 papers)
- Cited by
- Pathology and Forensic MedicineNutrition and DieteticsEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Mei-Ling Siu–Caldera
20 papers receiving 465 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 378
- Genetics 170
- Molecular Biology 126
- Nutrition and Dietetics 108
- Endocrinology, Diabetes and Metabolism 107
Countries citing papers authored by Mei-Ling Siu–Caldera
This map shows the geographic impact of Mei-Ling Siu–Caldera'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 Mei-Ling Siu–Caldera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ling Siu–Caldera more than expected).
Fields of papers citing papers by Mei-Ling Siu–Caldera
This network shows the impact of papers produced by Mei-Ling Siu–Caldera. 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 Mei-Ling Siu–Caldera. The network helps show where Mei-Ling Siu–Caldera may publish in the future.
Co-authorship network of co-authors of Mei-Ling Siu–Caldera
This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Ling Siu–Caldera. A scholar is included among the top collaborators of Mei-Ling Siu–Caldera 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 Mei-Ling Siu–Caldera. Mei-Ling Siu–Caldera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 37 | |
| 4 | 50 | |
| 5 | 21 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 44 | |
| 11 | 8 | |
| 12 | 42 | |
| 13 | 29 | |
| 14 | 64 | |
| 15 | 28 | |
| 16 | 23 | |
| 17 | 23 | |
| 18 | 28 | |
| 19 | 10 | |
| 20 | 12 |
About Mei-Ling Siu–Caldera
Mei-Ling Siu–Caldera is a scholar working on Pathology and Forensic Medicine, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 482 indexed citations. Recurring topics across this work include Vitamin D Research Studies (17 papers), Estrogen and related hormone effects (7 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (378 citations), Nutrition and Dietetics (108 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Mei-Ling Siu–Caldera has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Milan R. Uskoković, G. Satyanarayana Reddy, Paul Vouros, G.S. Reddy, Andrew Weiskopf, D.Sunita Rao, Anthony W. Norman, W. H. OKAMURA, Meinrad Peterlik and Martin Bischof. Their work appears in journals such as FEBS Letters, Endocrinology and Journal of Medicinal Chemistry.
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.