Ellen Neylon
Impact in
-
- Lymphoma Diagnosis and Treatment
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
Papers in
-
- Lymphoma Diagnosis and Treatment 15
- Genetics 12
- Chronic Lymphocytic Leukemia Research 12
- Co-authors
- Owen A. O’Connor (22 shared papers)Paul A. Hamlin (11 shared papers)Craig H. Moskowitz (11 shared papers)Andrew D. Zelenetz (11 shared papers)Debra Sarasohn (7 shared papers)Carol S. Portlock (6 shared papers)Barbara MacGregor‐Cortelli (6 shared papers)Diane R. Mould (6 shared papers)
- Journals
- Blood (15 papers)Journal of Clinical Oncology (4 papers)British Journal of Haematology (4 papers)Clinical Cancer Research (1 paper)Seminars in Oncology Nursing (1 paper)
- Partner nations
- United StatesDenmarkNew Zealand
In The Last Decade
Ellen Neylon
26 papers receiving 585 citations
Peers
Comparison fields: 5 of 48
- Pathology and Forensic Medicine 347
- Dermatology 116
- Genetics 109
- Oncology 194
- Immunology 137
Countries citing papers authored by Ellen Neylon
This map shows the geographic impact of Ellen Neylon'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 Ellen Neylon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Neylon more than expected).
Fields of papers citing papers by Ellen Neylon
This network shows the impact of papers produced by Ellen Neylon. 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 Ellen Neylon. The network helps show where Ellen Neylon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Neylon, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 139 | |
| 2 | 2007 | 71 | |
| 3 | 2009 | 62 | |
| 4 | 2013 | 51 | |
| 5 | 2006 | 39 | |
| 6 | 2009 | 39 | |
| 7 | 2010 | 38 | |
| 8 | 2009 | 30 | |
| 9 | 2005 | 23 | |
| 10 | 2009 | 19 | |
| 11 | 2006 | 15 | |
| 12 | 2009 | 13 | |
| 13 | 2015 | 11 | |
| 14 | 2007 | 9 | |
| 15 | 2006 | 6 | |
| 16 | 2005 | 6 | |
| 17 | 2011 | 5 | |
| 18 | 2009 | 4 | |
| 19 | 2007 | 4 | |
| 20 | 2005 | 3 |
About Ellen Neylon
Ellen Neylon is a scholar working on Pathology and Forensic Medicine, Genetics, Molecular Biology, Oncology and Hematology, having authored 27 papers that have together received 597 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (12 papers), Histone Deacetylase Inhibitors Research (5 papers), Ubiquitin and proteasome pathways (3 papers), Multiple Myeloma Research and Treatments (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), T-cell and Retrovirus Studies (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (347 citations), Dermatology (116 citations), Genetics (109 citations), Oncology (194 citations) and Immunology (137 citations). Ellen Neylon has collaborated with scholars based in United States, Denmark and New Zealand. Frequent co-authors include Owen A. O’Connor, Paul A. Hamlin, Craig H. Moskowitz, Andrew D. Zelenetz, Debra Sarasohn, Carol S. Portlock, Barbara MacGregor‐Cortelli, Diane R. Mould, Steven M. Horwitz and David J. Straus. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Clinical Cancer Research and Seminars in Oncology Nursing.
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.