Eric F. Lock

2.5k citations
71 papers · 1.5k · h-index 16

Impact in

Papers in

    • Gene expression and cancer classification 14
    • Metabolomics and Mass Spectrometry Studies 6
    • Bioinformatics and Genomic Networks 5
    • Iron Metabolism and Disorders 9

Eric F. Lock

61 papers receiving 1.5k citations

Peers

Eric F. Lock
Comparison fields: 5 of 134
  • Computational Mathematics 90
  • Statistics and Probability 109
  • Cancer Research 139
  • Molecular Biology 663
  • Genetics 92
Replace Pedro Carmona‐Sáez with:
Pedro Carmona‐Sáez Spain
Anuradha Roy United States
Christiane Fuchs Germany
Nehmé El-Hachem Canada
Dan Lin United States
Luke V. Rasmussen United States
Divyen H. Patel United States
Michael G. Yochmowitz United States
Adam Kowalczyk Australia
Chris Harbron United Kingdom
Eric F. Lock relative to Pedro Carmona‐Sáez Spain Pedro Carmona‐Sáez's profile →
Citations per field
00.5×5×10.9×
Pedro Carmona‐Sáez · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eric F. Lock, 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 Eric F. Lock Line = papers co-authored together Eric F. Lock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013371
2 2013207
3 2014165
4 2022102
5 201276
6 201765
7 201651
8 201048
9 201239
10 201632
11 202027
12 201825
13 201424
14 201523
15 201717
16 201915
17 201715
18 201915
19 202215
20 202214

About Eric F. Lock

Eric F. Lock is a scholar working on Molecular Biology, Hematology, Statistics and Probability, Artificial Intelligence and Genetics, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), Iron Metabolism and Disorders (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Tensor decomposition and applications (5 papers), Bioinformatics and Genomic Networks (5 papers), Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (4 papers) and Infant Nutrition and Health (3 papers). The work is most often cited by research in Computational Mathematics (90 citations), Statistics and Probability (109 citations), Cancer Research (139 citations), Molecular Biology (663 citations) and Genetics (92 citations). Eric F. Lock has collaborated with scholars based in United States, Canada and United Kingdom. Frequent 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, Dan Knights and Christopher L. Coe. Their work appears in journals such as Bioinformatics, Blood, Journal of Nutrition, Computational Statistics & Data Analysis and Journal of Computational and Graphical Statistics.

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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