Susan E. Sweeney
Impact in
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- interferon and immune responses 8
-
- Melanoma and MAPK Pathways 2
- Co-authors
- Gary S. Firestein (8 shared papers)David L. Boyle (2 shared papers)Deepa Hammaker (2 shared papers)Glen A. Satten (1 shared paper)Marta Gwinn (1 shared paper)Hillard Weinstock (1 shared paper)Yoon B. Kim (3 shared papers)Toshio Yoshizawa (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)Cellular Immunology (3 papers)Experimental Neurology (1 paper)The Anatomical Record (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- United StatesUganda
In The Last Decade
Susan E. Sweeney
19 papers receiving 816 citations
Peers
Comparison fields: 5 of 97
- Rheumatology 261
- Immunology 269
- Cancer Research 138
- Immunology and Allergy 47
- Oncology 188
Countries citing papers authored by Susan E. Sweeney
This map shows the geographic impact of Susan E. Sweeney'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 Susan E. Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan E. Sweeney more than expected).
Fields of papers citing papers by Susan E. Sweeney
This network shows the impact of papers produced by Susan E. Sweeney. 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 Susan E. Sweeney. The network helps show where Susan E. Sweeney may publish in the future.
Co-authors
The 14 scholars most cited alongside Susan E. Sweeney, 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 | 2003 | 261 | |
| 2 | 2004 | 113 | |
| 3 | 1998 | 62 | |
| 4 | 2006 | 61 | |
| 5 | 1994 | 44 | |
| 6 | 2005 | 42 | |
| 7 | 2010 | 39 | |
| 8 | 2008 | 38 | |
| 9 | 2009 | 31 | |
| 10 | 2007 | 28 | |
| 11 | 2007 | 27 | |
| 12 | 2011 | 22 | |
| 13 | 2011 | 19 | |
| 14 | 2004 | 12 | |
| 15 | 1996 | 11 | |
| 16 | 1994 | 10 | |
| 17 | 1967 | 9 | |
| 18 | 1966 | 9 | |
| 19 | Red Flags for Myocardial Infarctions Coding and CDI | 2019 | 1 |
About Susan E. Sweeney
Susan E. Sweeney is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Rheumatology, having authored 19 papers that have together received 839 indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), NF-κB Signaling Pathways (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Melanoma and MAPK Pathways (2 papers), Pain Mechanisms and Treatments (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Rheumatology (261 citations), Immunology (269 citations), Cancer Research (138 citations), Immunology and Allergy (47 citations) and Oncology (188 citations). Susan E. Sweeney has collaborated with scholars based in United States and Uganda. Frequent co-authors include Gary S. Firestein, David L. Boyle, Deepa Hammaker, Glen A. Satten, Marta Gwinn, Hillard Weinstock, Yoon B. Kim, Toshio Yoshizawa, Maripat Corr and Earl Eldred. Their work appears in journals such as The Journal of Immunology, Cellular Immunology, Experimental Neurology, The Anatomical Record and The International Journal of Biochemistry & Cell Biology.
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.