Elaine Chan
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 3
- Hematology top 10%
- Multiple Myeloma Research and Treatments 7
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- Protein Degradation and Inhibitors 6
- Histone Deacetylase Inhibitors Research 4
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- Epilepsy research and treatment 3
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- Pharmacological Effects and Toxicity Studies 3
- Pharmaceutical studies and practices 2
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- Hormonal and reproductive studies 2
- Co-authors
- Malcolm RowlandRobert A. O’ReillyChristopher BanfieldAndrew J. McLachlanMichael S. PeggA.D. MackayWai‐Ping YauHong‐Xiang Lou
- Journals
- Blood (5 papers)British Journal of Clinical Pharmacology (3 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Elaine Chan
16 papers receiving 292 citations
Peers
Comparison fields: 5 of 59
- Pharmacology 127
- Hematology 75
- Transplantation 14
- Biochemistry 29
- Internal Medicine 12
Countries citing papers authored by Elaine Chan
This map shows the geographic impact of Elaine Chan'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 Elaine Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Chan more than expected).
Fields of papers citing papers by Elaine Chan
This network shows the impact of papers produced by Elaine Chan. 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 Elaine Chan. The network helps show where Elaine Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elaine Chan, 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 | 2022 | 1 | |
| 2 | 2017 | 45 | |
| 3 | 2016 | 1 | |
| 4 | 2016 | 4 | |
| 5 | 2015 | 7 | |
| 6 | 2015 | 1 | |
| 7 | 2014 | 2 | |
| 8 | 2013 | 9 | |
| 9 | 2007 | 22 | |
| 10 | 1997 | 2 | |
| 11 | 1997 | 2 | |
| 12 | 1994 | 2 | |
| 13 | 1994 | 85 | |
| 14 | 1990 | 22 | |
| 15 | 1987 | 17 | |
| 16 | 1983 | 86 |
About Elaine Chan
Elaine Chan is a scholar working on Hematology, Transplantation, Pharmacology, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 308 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Epilepsy research and treatment (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Hormonal and reproductive studies (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Pharmacology (127 citations), Hematology (75 citations), Transplantation (14 citations), Biochemistry (29 citations) and Internal Medicine (12 citations). Elaine Chan has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Malcolm Rowland, Robert A. O’Reilly, Christopher Banfield, Andrew J. McLachlan, Michael S. Pegg, A.D. Mackay, Wai‐Ping Yau, Hong‐Xiang Lou, Anantharaman Vathsala and Sundar Jagannath. Their work appears in journals such as Blood, British Journal of Clinical Pharmacology, Journal of Clinical Oncology, European Journal of Pharmaceutical Sciences and Nephrology Dialysis Transplantation.
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.