Ruth Sullivan
Impact in
-
- Circadian rhythm and melatonin
- Aging top 5%
Papers in
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- Cancer-related gene regulation 5
- Connexins and lens biology 4
- Oncology 17
- Cancer Cells and Metastasis 9
- Cancer-related Molecular Pathways 6
- Co-authors
- Christopher A. Bradfield (3 shared papers)Susan M. Moran (3 shared papers)Clement Lo (2 shared papers)M. Kay Washington (6 shared papers)Vicki L. Kalscheur (3 shared papers)Kevin W. Eliceiri (2 shared papers)William F. Dove (6 shared papers)Cecilia W. Lo (3 shared papers)
- Journals
- Cancer Research (4 papers)Cancer Prevention Research (3 papers)PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Pathology Informatics (3 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Ruth Sullivan
54 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Endocrine and Autonomic Systems 241
- Aging 64
- Cancer Research 301
- Oncology 525
- Molecular Biology 1.0k
Countries citing papers authored by Ruth Sullivan
This map shows the geographic impact of Ruth Sullivan'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 Ruth Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Sullivan more than expected).
Fields of papers citing papers by Ruth Sullivan
This network shows the impact of papers produced by Ruth Sullivan. 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 Ruth Sullivan. The network helps show where Ruth Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruth Sullivan, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 234 | |
| 2 | 2013 | 185 | |
| 3 | 2005 | 170 | |
| 4 | 2002 | 165 | |
| 5 | 2009 | 142 | |
| 6 | 2005 | 118 | |
| 7 | 1997 | 115 | |
| 8 | 2009 | 107 | |
| 9 | 2014 | 102 | |
| 10 | 2018 | 95 | |
| 11 | 2013 | 89 | |
| 12 | 2007 | 79 | |
| 13 | 2007 | 64 | |
| 14 | 1998 | 60 | |
| 15 | 1993 | 59 | |
| 16 | 2012 | 50 | |
| 17 | 1995 | 49 | |
| 18 | 2005 | 41 | |
| 19 | 2009 | 36 | |
| 20 | 2018 | 36 |
About Ruth Sullivan
Ruth Sullivan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Cancer-related Molecular Pathways (6 papers), Genetic factors in colorectal cancer (6 papers), Cancer-related gene regulation (5 papers), Cell Image Analysis Techniques (5 papers), Connexins and lens biology (4 papers), AI in cancer detection (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (241 citations), Aging (64 citations), Cancer Research (301 citations), Oncology (525 citations) and Molecular Biology (1.0k citations). Ruth Sullivan has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Christopher A. Bradfield, Susan M. Moran, Clement Lo, M. Kay Washington, Vicki L. Kalscheur, Kevin W. Eliceiri, William F. Dove, Cecilia W. Lo, Maureen K. Bunger and Patricia J. Keely. Their work appears in journals such as Cancer Research, Cancer Prevention Research, PLoS ONE, Proceedings of the National Academy of Sciences and Journal of Pathology Informatics.
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.