Nathan Enas
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 7
- Pancreatic and Hepatic Oncology Research 4
- Cancer Treatment and Pharmacology 3
- Co-authors
- Mace L. Rothenberg (2 shared papers)Maurizio Voi (2 shared papers)Anna Maria Storniolo (2 shared papers)Richard L. Schilsky (2 shared papers)Baoguang Han (1 shared paper)Damian McEntegart (1 shared paper)Scott Berry (1 shared paper)Satrajit Roychoudhury (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Pharmaceutical Statistics (2 papers)Cancer (2 papers)Clinical Cancer Research (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Nathan Enas
25 papers receiving 1.4k citations
Nathan Enas's Hit Papers
Peers
Comparison fields: 5 of 113
- Statistics and Probability 252
- Oncology 392
- Gastroenterology 69
- Genetics 124
- Pathology and Forensic Medicine 152
Countries citing papers authored by Nathan Enas
This map shows the geographic impact of Nathan Enas'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 Nathan Enas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Enas more than expected).
Fields of papers citing papers by Nathan Enas
This network shows the impact of papers produced by Nathan Enas. 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 Nathan Enas. The network helps show where Nathan Enas may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Enas, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Use of historical control data for assessing treatment effects in clinical trials Hit paper breakdown → | 2013 | 332 |
| 2 | 2007 | 197 | |
| 3 | 1999 | 193 | |
| 4 | 2006 | 150 | |
| 5 | 1998 | 90 | |
| 6 | 2009 | 87 | |
| 7 | 2001 | 60 | |
| 8 | 2007 | 47 | |
| 9 | 2009 | 44 | |
| 10 | Phase I trial of the cryptophycin analogue LY355703 administered as an intravenous infusion on a day 1 and 8 schedule every 21 days. | 2002 | 34 |
| 11 | 2003 | 31 | |
| 12 | 2014 | 28 | |
| 13 | 2013 | 28 | |
| 14 | 2016 | 22 | |
| 15 | 1990 | 20 | |
| 16 | 2016 | 15 | |
| 17 | 1999 | 11 | |
| 18 | 2020 | 7 | |
| 19 | 2006 | 6 | |
| 20 | 2005 | 6 |
About Nathan Enas
Nathan Enas is a scholar working on Oncology, Molecular Biology, Statistics and Probability, Surgery and Genetics, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Statistical Methods in Clinical Trials (4 papers), Advanced Causal Inference Techniques (3 papers), Cancer Treatment and Pharmacology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Meta-analysis and systematic reviews (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Statistics and Probability (252 citations), Oncology (392 citations), Gastroenterology (69 citations), Genetics (124 citations) and Pathology and Forensic Medicine (152 citations). Nathan Enas has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mace L. Rothenberg, Maurizio Voi, Anna Maria Storniolo, Richard L. Schilsky, Baoguang Han, Damian McEntegart, Scott Berry, Satrajit Roychoudhury, Brian P. Hobbs and Sandrine Micallef. Their work appears in journals such as Journal of Clinical Oncology, Pharmaceutical Statistics, Cancer, Clinical Cancer Research and Statistics in Medicine.
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.