May S.K. Sutherland
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Bone health and treatments
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
- Oncology 6
- Bone health and treatments 3
- Co-authors
- Changpu Yu (8 shared papers)Bernd Stein (1 shared paper)L.G. Rao (4 shared papers)John N. Wylie (4 shared papers)Timothy S. Lewis (4 shared papers)Che‐Leung Law (4 shared papers)Charles G. Cerveny (2 shared papers)Jonathan G. Drachman (6 shared papers)
- Journals
- Blood (8 papers)Osteoporosis International (2 papers)Journal of Biological Chemistry (2 papers)Drug Discovery Today (1 paper)Journal of Endocrinology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
May S.K. Sutherland
15 papers receiving 794 citations
Peers
Comparison fields: 5 of 69
- Oncology 410
- Radiology, Nuclear Medicine and Imaging 237
- Hematology 116
- Orthopedics and Sports Medicine 55
- Pathology and Forensic Medicine 100
Countries citing papers authored by May S.K. Sutherland
This map shows the geographic impact of May S.K. Sutherland'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 May S.K. Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May S.K. Sutherland more than expected).
Fields of papers citing papers by May S.K. Sutherland
This network shows the impact of papers produced by May S.K. Sutherland. 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 May S.K. Sutherland. The network helps show where May S.K. Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside May S.K. Sutherland, 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 | 2013 | 293 | |
| 2 | 2006 | 224 | |
| 3 | 2004 | 139 | |
| 4 | 1998 | 41 | |
| 5 | 1995 | 31 | |
| 6 | 1994 | 28 | |
| 7 | 1996 | 26 | |
| 8 | 2015 | 18 | |
| 9 | 1996 | 10 | |
| 10 | 2012 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2007 | 6 | |
| 13 | 2006 | 5 | |
| 14 | 2014 | 2 | |
| 15 | 2006 | 2 |
About May S.K. Sutherland
May S.K. Sutherland is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Hematology and Pathology and Forensic Medicine, having authored 15 papers that have together received 841 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Acute Myeloid Leukemia Research (3 papers), Protein Degradation and Inhibitors (3 papers), Bone health and treatments (3 papers), Estrogen and related hormone effects (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (410 citations), Radiology, Nuclear Medicine and Imaging (237 citations), Hematology (116 citations), Orthopedics and Sports Medicine (55 citations) and Pathology and Forensic Medicine (100 citations). May S.K. Sutherland has collaborated with scholars based in United States and Canada. Frequent co-authors include Changpu Yu, Bernd Stein, L.G. Rao, John N. Wylie, Timothy S. Lewis, Che‐Leung Law, Charles G. Cerveny, Jonathan G. Drachman, Alan F. Wahl and Russell J. Sanderson. Their work appears in journals such as Blood, Osteoporosis International, Journal of Biological Chemistry, Drug Discovery Today and Journal of Endocrinology.
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.