Amy Sinclair
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
Papers in
-
- Chronic Myeloid Leukemia Treatments 3
- Hematopoietic Stem Cell Transplantation 3
- Acute Myeloid Leukemia Research 2
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Dale Finney (3 shared papers)David Martín (2 shared papers)Tessa L. Holyoake (7 shared papers)Pankaj Sharma (2 shared papers)Colin Selman (5 shared papers)Simon D. J. Calaminus (4 shared papers)Francesca Pellicano (4 shared papers)Laura M. Machesky (4 shared papers)
- Journals
- Blood (3 papers)PLoS ONE (2 papers)Current Hematologic Malignancy Reports (1 paper)Molecular and Cellular Endocrinology (1 paper)Aging Cell (1 paper)
- Partner nations
- United KingdomCanadaAustria
In The Last Decade
Amy Sinclair
18 papers receiving 544 citations
Peers
Comparison fields: 5 of 71
- Aging 40
- Hematology 188
- Genetics 91
- Immunology and Allergy 31
- Control and Systems Engineering 120
Countries citing papers authored by Amy Sinclair
This map shows the geographic impact of Amy Sinclair'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 Amy Sinclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Sinclair more than expected).
Fields of papers citing papers by Amy Sinclair
This network shows the impact of papers produced by Amy Sinclair. 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 Amy Sinclair. The network helps show where Amy Sinclair may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Sinclair, 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 | 2014 | 104 | |
| 2 | 2016 | 102 | |
| 3 | 2013 | 76 | |
| 4 | 2012 | 59 | |
| 5 | 2016 | 55 | |
| 6 | 2014 | 36 | |
| 7 | 2018 | 33 | |
| 8 | 2010 | 14 | |
| 9 | 2011 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2012 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2011 | 1 |
About Amy Sinclair
Amy Sinclair is a scholar working on Hematology, Aging, Genetics, Endocrine and Autonomic Systems and Control and Systems Engineering, having authored 18 papers that have together received 556 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Circadian rhythm and melatonin (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Islanding Detection in Power Systems (3 papers), Smart Grid Security and Resilience (3 papers), Power Systems Fault Detection (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Aging (40 citations), Hematology (188 citations), Genetics (91 citations), Immunology and Allergy (31 citations) and Control and Systems Engineering (120 citations). Amy Sinclair has collaborated with scholars based in United Kingdom, Canada and Austria. Frequent co-authors include Dale Finney, David Martín, Tessa L. Holyoake, Pankaj Sharma, Colin Selman, Simon D. J. Calaminus, Francesca Pellicano, Laura M. Machesky, Hannah Schachtner and Steve P. Watson. Their work appears in journals such as Blood, PLoS ONE, Current Hematologic Malignancy Reports, Molecular and Cellular Endocrinology and Aging Cell.
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.