Catherine Sullivan
Impact in
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- Cancer, Hypoxia, and Metabolism
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- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
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- Molecular Biology Techniques and Applications 2
- Angiogenesis and VEGF in Cancer 2
- Genetics 10
- Genetics and Neurodevelopmental Disorders 7
- Genomics and Rare Diseases 3
- BRCA gene mutations in cancer 2
- Co-authors
- Gina G. Chung (4 shared papers)David L. Rimm (3 shared papers)Sriparna Ghosh (2 shared papers)Robert L. Camp (2 shared papers)Maciej P. Zerkowski (1 shared paper)Annette M. Molinaro (1 shared paper)Joshua VanHouten (3 shared papers)Pamela Dann (3 shared papers)
- Journals
- Cancer Research (2 papers)Autism Research (2 papers)Human Pathology (2 papers)Biological Psychiatry (1 paper)Cancer (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Catherine Sullivan
19 papers receiving 576 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 123
- Oncology 182
- Molecular Biology 343
- Cognitive Neuroscience 83
- Toxicology 12
Countries citing papers authored by Catherine Sullivan
This map shows the geographic impact of Catherine 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 Catherine Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Sullivan more than expected).
Fields of papers citing papers by Catherine Sullivan
This network shows the impact of papers produced by Catherine 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 Catherine Sullivan. The network helps show where Catherine Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 151 | |
| 2 | 2016 | 66 | |
| 3 | 2019 | 57 | |
| 4 | 2016 | 49 | |
| 5 | 2012 | 45 | |
| 6 | 2015 | 44 | |
| 7 | 2008 | 43 | |
| 8 | 2008 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2017 | 20 | |
| 11 | 2008 | 14 | |
| 12 | 2014 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2014 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About Catherine Sullivan
Catherine Sullivan is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Oncology and Pathology and Forensic Medicine, having authored 21 papers that have together received 581 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (7 papers), Genomics and Rare Diseases (3 papers), Breast Cancer Treatment Studies (2 papers), Cell Adhesion Molecules Research (2 papers), Molecular Biology Techniques and Applications (2 papers), BRCA gene mutations in cancer (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (123 citations), Oncology (182 citations), Molecular Biology (343 citations), Cognitive Neuroscience (83 citations) and Toxicology (12 citations). Catherine Sullivan has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Gina G. Chung, David L. Rimm, Sriparna Ghosh, Robert L. Camp, Maciej P. Zerkowski, Annette M. Molinaro, Joshua VanHouten, Pamela Dann, Jaekwang Jeong and Wonnam Kim. Their work appears in journals such as Cancer Research, Autism Research, Human Pathology, Biological Psychiatry 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.