Carol O’Brien
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 5%
- HER2/EGFR in Cancer Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 10
- Melanoma and MAPK Pathways 3
- Oncology 8
- HER2/EGFR in Cancer Research 4
- Co-authors
- Mark R. Lackner (21 shared papers)Lukas C. Amler (11 shared papers)Lori S. Friedman (8 shared papers)Jill M. Spoerke (12 shared papers)Marcia Belvin (4 shared papers)Leanne Berry (4 shared papers)Heidi Savage (10 shared papers)Guy Cavet (4 shared papers)
- Journals
- Cancer Research (7 papers)Molecular Cancer Therapeutics (4 papers)Clinical Cancer Research (4 papers)Science Signaling (2 papers)Genes & Cancer (1 paper)
- Partner nations
- United StatesIrelandFrance
In The Last Decade
Carol O’Brien
31 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 667
- Oncology 782
- Molecular Biology 1.7k
- Genetics 178
- Pathology and Forensic Medicine 231
Countries citing papers authored by Carol O’Brien
This map shows the geographic impact of Carol O’Brien'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 Carol O’Brien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol O’Brien more than expected).
Fields of papers citing papers by Carol O’Brien
This network shows the impact of papers produced by Carol O’Brien. 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 Carol O’Brien. The network helps show where Carol O’Brien may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol O’Brien, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 385 | |
| 2 | 2011 | 252 | |
| 3 | 2014 | 242 | |
| 4 | 2010 | 201 | |
| 5 | 2009 | 177 | |
| 6 | 2012 | 155 | |
| 7 | 2012 | 149 | |
| 8 | 2009 | 144 | |
| 9 | 2011 | 118 | |
| 10 | 2008 | 88 | |
| 11 | 2009 | 66 | |
| 12 | 2013 | 66 | |
| 13 | 2015 | 57 | |
| 14 | 2016 | 55 | |
| 15 | 2008 | 51 | |
| 16 | 2013 | 39 | |
| 17 | 2014 | 30 | |
| 18 | 2016 | 25 | |
| 19 | 2022 | 22 | |
| 20 | 2016 | 15 |
About Carol O’Brien
Carol O’Brien is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer Genomics and Diagnostics (5 papers), HER2/EGFR in Cancer Research (4 papers), Melanoma and MAPK Pathways (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Mechanisms and Therapy (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (667 citations), Oncology (782 citations), Molecular Biology (1.7k citations), Genetics (178 citations) and Pathology and Forensic Medicine (231 citations). Carol O’Brien has collaborated with scholars based in United States, Ireland and France. Frequent co-authors include Mark R. Lackner, Lukas C. Amler, Lori S. Friedman, Jill M. Spoerke, Marcia Belvin, Leanne Berry, Heidi Savage, Guy Cavet, Zachary Boyd and Howard M. Stern. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Science Signaling and Genes & 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.