Joseph E. Lucas

4.9k citations
69 papers · 2.9k · h-index 26

Impact in

Papers in

    • Gene expression and cancer classification 20
    • Bioinformatics and Genomic Networks 11
    • Genomics and Chromatin Dynamics 5
    • Metabolomics and Mass Spectrometry Studies 5
    • Respiratory viral infections research 6
    • Liver Disease Diagnosis and Treatment 5

Joseph E. Lucas

67 papers receiving 2.8k citations

Peers

Joseph E. Lucas
Comparison fields: 5 of 170
  • Cancer Research 419
  • Health Information Management 89
  • Molecular Biology 1.3k
  • Statistics and Probability 134
  • Epidemiology 522
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Citations per field
00.5×1.6×
Dana C. Crawford · 1×
Citations per year

Countries citing papers authored by Joseph E. Lucas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Joseph E. Lucas Line = papers co-authored together Joseph E. Lucas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008293
2 2009281
3 2010258
4 2015196
5 2008169
6 2018159
7 2013122
8 2018101
9 201788
10 199688
11 201186
12 201385
13 200975
14 201459
15 201354
16 201051
17 201344
18 201442
19 201140
20 201540

About Joseph E. Lucas

Joseph E. Lucas is a scholar working on Molecular Biology, Epidemiology, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (11 papers), Respiratory viral infections research (6 papers), Hepatitis C virus research (6 papers), Bayesian Methods and Mixture Models (5 papers), Genomics and Chromatin Dynamics (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (419 citations), Health Information Management (89 citations), Molecular Biology (1.3k citations), Statistics and Probability (134 citations) and Epidemiology (522 citations). Joseph E. Lucas has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Joseph R. Nevins, Mike West, Quanli Wang, Carlos M. Carvalho, Joseph Futoma, Jonathan D. Morris, 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, Scientific Reports and The Journal of Infectious Diseases.

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.

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