Joseph E. Lucas

4.9k total citations
69 papers, 2.9k citations indexed

About

Joseph E. Lucas is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Joseph E. Lucas has authored 69 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Epidemiology and 9 papers in Artificial Intelligence. Recurrent topics in Joseph E. Lucas's work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (11 papers) and Respiratory viral infections research (6 papers). Joseph E. Lucas is often cited by papers focused on Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (11 papers) and Respiratory viral infections research (6 papers). Joseph E. Lucas collaborates with scholars based in United States, Canada and Japan. Joseph E. Lucas's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Joseph E. Lucas

67 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph E. Lucas United States 26 1.3k 522 419 288 253 69 2.9k
Barbara Di Camillo Italy 30 1.4k 1.1× 299 0.6× 345 0.8× 190 0.7× 114 0.5× 132 2.8k
Kunlun He China 33 1.6k 1.2× 675 1.3× 281 0.7× 351 1.2× 802 3.2× 236 4.1k
Pantelis G. Bagos Greece 38 2.0k 1.5× 382 0.7× 252 0.6× 120 0.4× 283 1.1× 160 4.8k
Lei Liu China 38 1.0k 0.8× 760 1.5× 160 0.4× 309 1.1× 306 1.2× 265 5.5k
Richard Chen United States 27 1.3k 1.0× 474 0.9× 331 0.8× 117 0.4× 165 0.7× 133 3.7k
Ju Han Kim South Korea 32 1.6k 1.3× 279 0.5× 573 1.4× 296 1.0× 267 1.1× 244 4.0k
Alfredo Pulvirenti Italy 34 1.5k 1.1× 640 1.2× 733 1.7× 362 1.3× 70 0.3× 177 3.7k
Gary An United States 35 1.5k 1.2× 606 1.2× 206 0.5× 158 0.5× 231 0.9× 176 4.2k
Ping Zeng China 31 984 0.8× 336 0.6× 290 0.7× 140 0.5× 203 0.8× 168 3.2k
Tao Chen China 28 970 0.8× 354 0.7× 291 0.7× 93 0.3× 162 0.6× 242 3.3k

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-authorship network of co-authors of Joseph E. Lucas

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph E. Lucas. A scholar is included among the top collaborators of Joseph E. Lucas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph E. Lucas. Joseph E. Lucas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shpanskaya, Katie, Joseph E. Lucas, Jeffrey R. Petrella, et al.. (2018). Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer’s disease. Scientific Reports. 8(1). 7490–7490. 101 indexed citations
2.
3.
Burke, Thomas W., Ricardo Henao, Erik J. Soderblom, et al.. (2017). Nasopharyngeal Protein Biomarkers of Acute Respiratory Virus Infection. EBioMedicine. 17. 172–181. 14 indexed citations
4.
Maslow, Gary, et al.. (2017). Preliminary Outcomes from an Integrated Pediatric Mental Health Outpatient Clinic. Child and Adolescent Psychiatric Clinics of North America. 26(4). 761–770. 9 indexed citations
5.
Henao, Ricardo, et al.. (2016). Electronic health record analysis via deep Poisson factor models. Journal of Machine Learning Research. 17(1). 6422–6453. 12 indexed citations
6.
Kling, Mitchel A., Dayan B. Goodenowe, Jon B. Toledo, et al.. (2016). P3‐157: Indices of Plasmalogen Biosynthesis in ADNI‐1 Baseline Serum Samples: Association with Progression to Dementia in Subjects with Mild Cognitive Impairment. Alzheimer s & Dementia. 12(7S_Part_18). 1 indexed citations
7.
Keenan, Melissa M., Beiyu Liu, Xiaohu Tang, et al.. (2015). ACLY and ACC1 Regulate Hypoxia-Induced Apoptosis by Modulating ETV4 via α-ketoglutarate. PLoS Genetics. 11(10). e1005599–e1005599. 40 indexed citations
8.
Futoma, Joseph, Jonathan D. Morris, & Joseph E. Lucas. (2015). A comparison of models for predicting early hospital readmissions. Journal of Biomedical Informatics. 56. 229–238. 196 indexed citations
9.
Nichols, Marshall, et al.. (2014). Comparing reference-based RNA-Seq mapping methods for non-human primate data. BMC Genomics. 15(1). 570–570. 26 indexed citations
10.
Voora, Deepak, Derek D. Cyr, Joseph E. Lucas, et al.. (2013). Aspirin Exposure Reveals Novel Genes Associated With Platelet Function and Cardiovascular Events. Journal of the American College of Cardiology. 62(14). 1267–1276. 44 indexed citations
11.
Woods, Christopher W., Micah T. McClain, Minhua Chen, et al.. (2013). A Host Transcriptional Signature for Presymptomatic Detection of Infection in Humans Exposed to Influenza H1N1 or H3N2. PLoS ONE. 8(1). e52198–e52198. 122 indexed citations
12.
Cutcliffe, Hattie C., et al.. (2012). How Few? Bayesian Statistics in Injury Biomechanics. SAE technical papers on CD-ROM/SAE technical paper series. 56. 349–86. 11 indexed citations
13.
Tang, Xiaohu, Joseph E. Lucas, Julia Ling-Yu Chen, et al.. (2011). Functional Interaction between Responses to Lactic Acidosis and Hypoxia Regulates Genomic Transcriptional Outputs. Cancer Research. 72(2). 491–502. 86 indexed citations
14.
Cyr, Derek D., Joseph E. Lucas, J. Will Thompson, et al.. (2011). Characterization of Serum Proteins Associated with IL28B Genotype among Patients with Chronic Hepatitis C. PLoS ONE. 6(7). e21854–e21854. 22 indexed citations
15.
Muller, Ludo A. H., Joseph E. Lucas, D. Ryan Georgianna, & John H. McCusker. (2011). Genome-wide association analysis of clinical vs. nonclinical origin provides insights into Saccharomyces cerevisiae pathogenesis. Molecular Ecology. 20(19). 4085–4097. 40 indexed citations
16.
Meadows, Sarah K., Holly K. Dressman, Pamela Daher, et al.. (2010). Diagnosis of Partial Body Radiation Exposure in Mice Using Peripheral Blood Gene Expression Profiles. PLoS ONE. 5(7). e11535–e11535. 51 indexed citations
17.
18.
Chang, Jeffrey T., Carlos M. Carvalho, Seiichi Mori, et al.. (2009). A Genomic Strategy to Elucidate Modules of Oncogenic Pathway Signaling Networks. Molecular Cell. 34(1). 104–114. 75 indexed citations
19.
Lucas, Joseph E., et al.. (2009). Cross-Study Projections of Genomic Biomarkers: An Evaluation in Cancer Genomics. PLoS ONE. 4(2). e4523–e4523. 11 indexed citations
20.
Zaas, Aimee K., Minhua Chen, Jay B. Varkey, et al.. (2009). Gene Expression Signatures Diagnose Influenza and Other Symptomatic Respiratory Viral Infections in Humans. Cell Host & Microbe. 6(3). 207–217. 281 indexed citations

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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