Joseph E. Lucas
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
Papers in
-
- Gene expression and cancer classification 18
- Bioinformatics and Genomic Networks 10
- Metabolomics and Mass Spectrometry Studies 4
- Genomics and Chromatin Dynamics 4
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- Bayesian Methods and Mixture Models 5
- Co-authors
- Joseph R. Nevins (7 shared papers)Mike West (7 shared papers)Quanli Wang (3 shared papers)Joseph Futoma (1 shared paper)Jonathan D. Morris (1 shared paper)Carlos M. Carvalho (6 shared papers)Lawrence Carin (14 shared papers)Jeffrey T. Chang (3 shared papers)
- Journals
- PLoS ONE (8 papers)BMC Bioinformatics (4 papers)Statistical Applications in Genetics and Molecular Biology (3 papers)The Journal of Infectious Diseases (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Joseph E. Lucas
67 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 167
- Cancer Research 365
- Molecular Biology 1.1k
- Health Information Management 71
- Statistics and Probability 124
- Epidemiology 407
Countries citing papers authored by Joseph E. Lucas
This map shows the geographic impact of Joseph E. Lucas'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 Joseph E. Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph E. Lucas more than expected).
Fields of papers citing papers by Joseph E. Lucas
This network shows the impact of papers produced by Joseph E. Lucas. 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 Joseph E. Lucas. The network helps show where Joseph E. Lucas may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph E. Lucas, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 296 | |
| 2 | 2009 | 282 | |
| 3 | 2010 | 258 | |
| 4 | 2015 | 201 | |
| 5 | 2008 | 169 | |
| 6 | 2018 | 160 | |
| 7 | 2013 | 124 | |
| 8 | 2018 | 104 | |
| 9 | 2017 | 91 | |
| 10 | 1996 | 88 | |
| 11 | 2013 | 87 | |
| 12 | 2011 | 87 | |
| 13 | 2009 | 75 | |
| 14 | 2014 | 60 | |
| 15 | 2013 | 54 | |
| 16 | 2010 | 51 | |
| 17 | 2013 | 44 | |
| 18 | 2014 | 42 | |
| 19 | 2015 | 41 | |
| 20 | 2011 | 40 |
About Joseph E. Lucas
Joseph E. Lucas is a scholar working on Molecular Biology, Artificial Intelligence, Epidemiology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (10 papers), Respiratory viral infections research (5 papers), Bayesian Methods and Mixture Models (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Influenza Virus Research Studies (4 papers), Genomics and Chromatin Dynamics (4 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Cancer Research (365 citations), Molecular Biology (1.1k citations), Health Information Management (71 citations), Statistics and Probability (124 citations) and Epidemiology (407 citations). Joseph E. Lucas has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Joseph R. Nevins, Mike West, Quanli Wang, Joseph Futoma, Jonathan D. Morris, Carlos M. Carvalho, Lawrence Carin, Jeffrey T. Chang, Geoffrey S. Ginsburg and Jen‐Tsan Chi. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Statistical Applications in Genetics and Molecular Biology, The Journal of Infectious Diseases and PLoS Genetics.
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.