Eric F. Lock

2.4k total citations
70 papers, 1.4k citations indexed

About

Eric F. Lock is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Eric F. Lock has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Pediatrics, Perinatology and Child Health and 9 papers in Hematology. Recurrent topics in Eric F. Lock's work include Gene expression and cancer classification (17 papers), Iron Metabolism and Disorders (9 papers) and Bioinformatics and Genomic Networks (7 papers). Eric F. Lock is often cited by papers focused on Gene expression and cancer classification (17 papers), Iron Metabolism and Disorders (9 papers) and Bioinformatics and Genomic Networks (7 papers). Eric F. Lock collaborates with scholars based in United States, Canada and United Kingdom. Eric F. Lock's co-authors include David B. Dunson, Katherine A. Hoadley, Andrew B. Nobel, J. S. Marron, Michael J. O’Connell, Raghavendra Rao, Ivan Rusyn, Fred A. Wright, Michael Georgieff and Christopher L. Coe and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Eric F. Lock

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric F. Lock United States 16 710 164 133 126 121 70 1.4k
Yanxun Xu United States 22 741 1.0× 359 2.2× 172 1.3× 44 0.3× 318 2.6× 82 2.1k
Enes Makalic Australia 18 590 0.8× 143 0.9× 125 0.9× 59 0.5× 117 1.0× 64 1.2k
Anne E. Eyler United States 7 782 1.1× 97 0.6× 180 1.4× 44 0.3× 53 0.4× 9 1.4k
Nehmé El-Hachem Canada 19 892 1.3× 285 1.7× 103 0.8× 55 0.4× 241 2.0× 50 1.9k
Rongling Li United States 23 586 0.8× 244 1.5× 133 1.0× 38 0.3× 58 0.5× 38 1.6k
Pedro Carmona‐Sáez Spain 24 1.7k 2.4× 562 3.4× 96 0.7× 79 0.6× 163 1.3× 62 2.7k
Christiane Fuchs Germany 19 387 0.5× 89 0.5× 52 0.4× 172 1.4× 161 1.3× 64 1.2k
Ali M. Ardekani Iran 21 2.5k 3.6× 639 3.9× 172 1.3× 112 0.9× 194 1.6× 64 4.0k
Rong Chen United States 21 840 1.2× 257 1.6× 130 1.0× 88 0.7× 138 1.1× 57 1.8k
Beatrix Jones New Zealand 11 511 0.7× 95 0.6× 207 1.6× 18 0.1× 47 0.4× 16 997

Countries citing papers authored by Eric F. Lock

Since Specialization
Citations

This map shows the geographic impact of Eric F. Lock'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 Eric F. Lock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric F. Lock more than expected).

Fields of papers citing papers by Eric F. Lock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric F. Lock. 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 Eric F. Lock. The network helps show where Eric F. Lock may publish in the future.

Co-authorship network of co-authors of Eric F. Lock

This figure shows the co-authorship network connecting the top 25 collaborators of Eric F. Lock. A scholar is included among the top collaborators of Eric F. Lock 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 Eric F. Lock. Eric F. Lock 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.
2.
Li, Gen & Eric F. Lock. (2025). Integrative Analysis of Multimodal Omics Data. Annual Review of Statistics and Its Application. 13(1). 347–367.
3.
Wendt, Chris H., et al.. (2024). Bayesian simultaneous factorization and prediction using multi-omic data. Computational Statistics & Data Analysis. 197. 107974–107974. 1 indexed citations
4.
Nagel, Emily, Jonathan M. Dreyfuss, Eric F. Lock, et al.. (2024). Gestational Diabetes, the Human Milk Metabolome, and Infant Growth and Adiposity. JAMA Network Open. 7(12). e2450467–e2450467. 3 indexed citations
5.
Johnson, Kelsey E., Nelmary Hernandez-Alvarado, Mark Blackstad, et al.. (2024). Human cytomegalovirus in breast milk is associated with milk composition and the infant gut microbiome and growth. Nature Communications. 15(1). 6216–6216. 3 indexed citations
6.
Kim, Jonathan, et al.. (2023). Bayesian predictive modeling of multi-source multi-way data. Computational Statistics & Data Analysis. 186. 107783–107783. 5 indexed citations
7.
Frey, William H., et al.. (2023). Intranasal insulin treatment partially corrects the altered gene expression profile in the hippocampus of developing rats with perinatal iron deficiency. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 325(4). R423–R432.
8.
Peterson, Kevin, et al.. (2023). Care Management Processes Important for High-Quality Diabetes Care. Diabetes Care. 46(10). 1762–1769. 3 indexed citations
9.
Baldomero, Arianne K., Adam Kaplan, Eric F. Lock, et al.. (2023). Bilirubin-associated single nucleotide polymorphism (SNP) and respiratory health outcomes: a mendelian randomization study. Respiratory Research. 24(1). 190–190.
10.
Priya, Sambhawa, Michael B. Burns, Tonya Ward, et al.. (2022). Identification of shared and disease-specific host gene–microbiome associations across human diseases using multi-omic integration. Nature Microbiology. 7(6). 780–795. 94 indexed citations
11.
Wendt, Christine, et al.. (2022). sJIVE: Supervised joint and individual variation explained. Computational Statistics & Data Analysis. 175. 107547–107547. 12 indexed citations
12.
Lubach, Gabriele R., Eric F. Lock, Pamela J. Kling, et al.. (2020). Correcting iron deficiency anemia with iron dextran alters the serum metabolomic profile of the infant Rhesus Monkey. American Journal of Clinical Nutrition. 113(4). 915–923. 14 indexed citations
13.
Lubach, Gabriele R., Eric F. Lock, Michael Georgieff, et al.. (2019). Early-Life Iron Deficiency and Its Natural Resolution Are Associated with Altered Serum Metabolomic Profiles in Infant Rhesus Monkeys. Journal of Nutrition. 150(4). 685–693. 15 indexed citations
14.
Li, Gen, et al.. (2018). Generalized integrative principal component analysis for multi-type data with block-wise missing structure. Biostatistics. 21(2). 302–318. 13 indexed citations
15.
Lock, Eric F. & Gen Li. (2018). Supervised multiway factorization. Electronic Journal of Statistics. 12(1). 1150–1180. 6 indexed citations
16.
Lock, Eric F., et al.. (2017). Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models. Psychometrika. 83(3). 733–750. 14 indexed citations
17.
Lock, Eric F., Karen Soldano, Melanie E. Garrett, et al.. (2015). Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation. BMC Genomics. 16(1). 11–11. 10 indexed citations
18.
Markunas, Christina A., Eric F. Lock, Karen Soldano, et al.. (2014). Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics. BMC Medical Genomics. 7(1). 39–39. 23 indexed citations
19.
Bradford, Blair U., Eric F. Lock, Oksana Kosyk, et al.. (2010). Interstrain Differences in the Liver Effects of Trichloroethylene in a Multistrain Panel of Inbred Mice. Toxicological Sciences. 120(1). 206–217. 48 indexed citations
20.
Yeo, SeonAe, et al.. (2010). Exploratory Analysis of Exercise Adherence Patterns With Sedentary Pregnant Women. Nursing Research. 59(4). 280–287. 9 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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