Scott Ely
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 52
- Multiple Myeloma Research and Treatments 50
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- Protein Degradation and Inhibitors 21
- Ubiquitin and proteasome pathways 9
- Co-authors
- Selina Chen‐Kiang (49 shared papers)Rubén Niesvizky (51 shared papers)Daniel M. Knowles (9 shared papers)Ethel Cesarman (7 shared papers)John P. Leonard (21 shared papers)Morton Coleman (39 shared papers)Ornella Flore (2 shared papers)Amy Chadburn (9 shared papers)
- Journals
- Blood (38 papers)Journal of Clinical Oncology (8 papers)Clinical Cancer Research (3 papers)British Journal of Haematology (3 papers)Cancer (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Scott Ely
87 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 102
- Hematology 872
- Genetics 737
- Oncology 1.6k
- Pathology and Forensic Medicine 1.1k
- Immunology 674
Countries citing papers authored by Scott Ely
This map shows the geographic impact of Scott Ely'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 Scott Ely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Ely more than expected).
Fields of papers citing papers by Scott Ely
This network shows the impact of papers produced by Scott Ely. 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 Scott Ely. The network helps show where Scott Ely may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Ely, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 333 | |
| 2 | 2010 | 235 | |
| 3 | 2009 | 234 | |
| 4 | 2014 | 204 | |
| 5 | 2003 | 192 | |
| 6 | 2006 | 172 | |
| 7 | 2005 | 148 | |
| 8 | 2004 | 133 | |
| 9 | 2002 | 126 | |
| 10 | 2004 | 123 | |
| 11 | 2010 | 112 | |
| 12 | 2002 | 88 | |
| 13 | 2005 | 86 | |
| 14 | 2000 | 81 | |
| 15 | 2000 | 80 | |
| 16 | 2011 | 79 | |
| 17 | 2012 | 75 | |
| 18 | 2007 | 68 | |
| 19 | 2001 | 64 | |
| 20 | 1999 | 61 |
About Scott Ely
Scott Ely is a scholar working on Hematology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Immunology, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (50 papers), Protein Degradation and Inhibitors (21 papers), Lymphoma Diagnosis and Treatment (14 papers), Cancer Treatment and Pharmacology (12 papers), Cancer-related Molecular Pathways (10 papers), Immunotherapy and Immune Responses (10 papers), Ubiquitin and proteasome pathways (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). The work is most often cited by research in Hematology (872 citations), Genetics (737 citations), Oncology (1.6k citations), Pathology and Forensic Medicine (1.1k citations) and Immunology (674 citations). Scott Ely has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Selina Chen‐Kiang, Rubén Niesvizky, Daniel M. Knowles, Ethel Cesarman, John P. Leonard, Morton Coleman, Ornella Flore, Amy Chadburn, John O’Leary and Maurizio Di Liberto. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, British Journal of Haematology and Cancer.
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.