Carol E. Peña
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 7
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- Lung Cancer Treatments and Mutations 9
- Renal cell carcinoma treatment 5
- Co-authors
- Chetan Lathia (7 shared papers)Gerold Meinhardt (6 shared papers)Michael Shan (2 shared papers)Josep M. Llovet (1 shared paper)Jordi Bruix (1 shared paper)Graham F. Hatfull (6 shared papers)Bernard Escudier (3 shared papers)Minghua Shan (2 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Annals of Oncology (6 papers)Clinical Cancer Research (4 papers)Journal of Bacteriology (2 papers)The Pharmacogenomics Journal (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Carol E. Peña
55 papers receiving 1.5k citations
Carol E. Peña's Hit Papers
Peers
Comparison fields: 5 of 82
- Hepatology 353
- Cancer Research 321
- Oncology 314
- Pulmonary and Respiratory Medicine 360
- Pathology and Forensic Medicine 189
Countries citing papers authored by Carol E. Peña
This map shows the geographic impact of Carol E. Peña'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 E. Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol E. Peña more than expected).
Fields of papers citing papers by Carol E. Peña
This network shows the impact of papers produced by Carol E. Peña. 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 E. Peña. The network helps show where Carol E. Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol E. Peña, 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 | Plasma Biomarkers as Predictors of Outcome in Patients with Advanced Hepatocellular Carcinoma Hit paper breakdown → | 2012 | 453 |
| 2 | 2010 | 143 | |
| 3 | 2007 | 110 | |
| 4 | 2009 | 93 | |
| 5 | 2016 | 70 | |
| 6 | 1997 | 56 | |
| 7 | 2020 | 54 | |
| 8 | 2006 | 46 | |
| 9 | 1996 | 45 | |
| 10 | 2020 | 42 | |
| 11 | 2018 | 34 | |
| 12 | 2012 | 31 | |
| 13 | 2008 | 28 | |
| 14 | 2010 | 26 | |
| 15 | 2004 | 25 | |
| 16 | 2018 | 25 | |
| 17 | 2024 | 24 | |
| 18 | 2016 | 23 | |
| 19 | 1999 | 21 | |
| 20 | 2006 | 20 |
About Carol E. Peña
Carol E. Peña is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Bacteriophages and microbial interactions (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Renal cell carcinoma treatment (5 papers) and Colorectal Cancer Treatments and Studies (5 papers). The work is most often cited by research in Hepatology (353 citations), Cancer Research (321 citations), Oncology (314 citations), Pulmonary and Respiratory Medicine (360 citations) and Pathology and Forensic Medicine (189 citations). Carol E. Peña has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Chetan Lathia, Gerold Meinhardt, Michael Shan, Josep M. Llovet, Jordi Bruix, Graham F. Hatfull, Bernard Escudier, Minghua Shan, Ronald M. Bukowski and Marisa L. Pedulla. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, Journal of Bacteriology and The Pharmacogenomics Journal.
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.