Elizabeth E. Brown
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
- Hematology 16
- Multiple Myeloma Research and Treatments 15
- Oncology 15
- Viral-associated cancers and disorders 10
- Co-authors
- Michael V. Danilchik (7 shared papers)Luciano J. Costa (7 shared papers)Jeffrey C. Edberg (11 shared papers)Ilene Brill (3 shared papers)Robert P. Kimberly (12 shared papers)Kelly Godby (2 shared papers)Shaji Kumar (2 shared papers)James Omel (1 shared paper)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (3 papers)Developmental Biology (3 papers)Blood (3 papers)Cancer Causes & Control (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Elizabeth E. Brown
62 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Hematology 424
- Rheumatology 381
- Immunology 439
- Oncology 437
- Cell Biology 254
Countries citing papers authored by Elizabeth E. Brown
This map shows the geographic impact of Elizabeth E. Brown'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 Elizabeth E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth E. Brown more than expected).
Fields of papers citing papers by Elizabeth E. Brown
This network shows the impact of papers produced by Elizabeth E. Brown. 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 Elizabeth E. Brown. The network helps show where Elizabeth E. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Elizabeth E. Brown, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 226 | |
| 2 | 2017 | 192 | |
| 3 | 1998 | 104 | |
| 4 | 2009 | 99 | |
| 5 | 2006 | 82 | |
| 6 | 2008 | 64 | |
| 7 | 2016 | 62 | |
| 8 | 2002 | 61 | |
| 9 | 2007 | 61 | |
| 10 | 2009 | 60 | |
| 11 | 2010 | 56 | |
| 12 | 1985 | 52 | |
| 13 | 2015 | 51 | |
| 14 | 2008 | 49 | |
| 15 | 2012 | 48 | |
| 16 | 2006 | 46 | |
| 17 | 2014 | 45 | |
| 18 | 2006 | 39 | |
| 19 | 2013 | 39 | |
| 20 | 2013 | 37 |
About Elizabeth E. Brown
Elizabeth E. Brown is a scholar working on Hematology, Oncology, Rheumatology, Immunology and Molecular Biology, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Viral-associated cancers and disorders (10 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Lupus Erythematosus Research (7 papers), T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Hematology (424 citations), Rheumatology (381 citations), Immunology (439 citations), Oncology (437 citations) and Cell Biology (254 citations). Elizabeth E. Brown has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Michael V. Danilchik, Luciano J. Costa, Jeffrey C. Edberg, Ilene Brill, Robert P. Kimberly, Kelly Godby, Shaji Kumar, James Omel, Travis Ptacek and W. Chris Funk. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Developmental Biology, Blood, Cancer Causes & Control and Cancer Research.
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.