Gabriel Odom

451 total citations
20 papers, 240 citations indexed

About

Gabriel Odom is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gabriel Odom has authored 20 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gabriel Odom's work include Epigenetics and DNA Methylation (5 papers), Substance Abuse Treatment and Outcomes (5 papers) and Opioid Use Disorder Treatment (5 papers). Gabriel Odom is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Substance Abuse Treatment and Outcomes (5 papers) and Opioid Use Disorder Treatment (5 papers). Gabriel Odom collaborates with scholars based in United States, Denmark and Latvia. Gabriel Odom's co-authors include Zhen Gao, Lissette Gomez, Xi Chen, Lily Wang, Saurav Mallik, Tiago C. Silva, Antonio Colaprico, Isabella Castiglioni, Emmanuel Barillot and Xi Chen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gabriel Odom

19 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Odom United States 8 158 50 30 26 26 20 240
Aleksandr Zenin Russia 7 134 0.8× 29 0.6× 52 1.7× 26 1.0× 29 1.1× 9 381
Zelin Jin China 2 205 1.3× 28 0.6× 53 1.8× 22 0.8× 10 0.4× 2 278
Justiina Ronkainen Finland 8 163 1.0× 42 0.8× 45 1.5× 28 1.1× 24 0.9× 15 276
Juan Cui China 9 153 1.0× 28 0.6× 10 0.3× 57 2.2× 28 1.1× 16 290
Sophie Molnos Germany 5 155 1.0× 12 0.2× 43 1.4× 20 0.8× 28 1.1× 6 246
Jingshen Wang United States 10 101 0.6× 18 0.4× 28 0.9× 24 0.9× 31 1.2× 33 313
Paraskevi Christofidou United Kingdom 9 124 0.8× 18 0.4× 86 2.9× 24 0.9× 45 1.7× 12 300
Vered Madar United States 5 123 0.8× 41 0.8× 88 2.9× 14 0.5× 17 0.7× 8 271
Sudhanshu Patwardhan United Kingdom 6 198 1.3× 43 0.9× 41 1.4× 23 0.9× 49 1.9× 13 381

Countries citing papers authored by Gabriel Odom

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Odom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Odom. 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 Gabriel Odom. The network helps show where Gabriel Odom may publish in the future.

Co-authorship network of co-authors of Gabriel Odom

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Odom. A scholar is included among the top collaborators of Gabriel Odom 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 Gabriel Odom. Gabriel Odom 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.
Brandt, Laura, et al.. (2025). Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness. npj Digital Medicine. 8(1). 292–292.
2.
Brandt, Laura, et al.. (2024). Empirically contrasting urine drug screening‐based opioid use disorder treatment outcome definitions. Addiction. 119(7). 1289–1300. 3 indexed citations
3.
Balise, Raymond R., Mei‐Chen Hu, Gabriel Odom, et al.. (2024). Data cleaning and harmonization of clinical trial data: Medication-assisted treatment for opioid use disorder. PLoS ONE. 19(11). e0312695–e0312695. 1 indexed citations
4.
Ross, Michael S., et al.. (2024). Mangrove Forests of Biscayne Bay, FL, USA may Act as Sinks for Plastic Debris. Wetlands. 44(3). 4 indexed citations
5.
Odom, Gabriel, Laura A. Brandt, Clinton Castro, et al.. (2023). Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values. PLoS ONE. 18(9). e0291248–e0291248. 3 indexed citations
6.
Jones, Jermaine D., et al.. (2023). No evidence of accelerated epigenetic aging among black heroin users: A case vs control analysis. SHILAP Revista de lepidopterología. 7. 100096–100096. 1 indexed citations
7.
Odom, Gabriel, et al.. (2023). Evaluating the effect of acute diesel exhaust particle exposure on P-glycoprotein efflux transporter in the blood–brain barrier co-cultured with microglia. Current Research in Toxicology. 4. 100107–100107. 3 indexed citations
8.
Brandt, Laura A., Mei‐Chen Hu, Ying Liu, et al.. (2023). Risk of Experiencing an Overdose Event for Patients Undergoing Treatment With Medication for Opioid Use Disorder. American Journal of Psychiatry. 180(5). 386–394. 6 indexed citations
9.
Luo, Sean X., Daniel J. Feaster, Ying Liu, et al.. (2023). Individual-Level Risk Prediction of Return to Use During Opioid Use Disorder Treatment. JAMA Psychiatry. 81(1). 45–45. 11 indexed citations
10.
Carpenter, Eric, et al.. (2022). The effect of changing the military’s sexual assault laws on law enforcement investigative findings in the U.S. Army.. Law and Human Behavior. 46(4). 313–323. 2 indexed citations
11.
Pan, Yue, Daniel J. Feaster, Gabriel Odom, et al.. (2022). Specific polysubstance use patterns predict relapse among patients entering opioid use disorder treatment. SHILAP Revista de lepidopterología. 5. 100128–100128. 9 indexed citations
12.
Williams, Roy, Zoran Bursac, Mary Jo Trepka, & Gabriel Odom. (2021). Lessons Learned From Miami-Dade County's COVID-19 Epidemic: Making Surveillance Data Accessible for Policy Makers. Journal of Public Health Management and Practice. 27(3). 310–317. 3 indexed citations
13.
Odom, Gabriel, Antonio Colaprico, Tiago C. Silva, X. Steven Chen, & Lily Wang. (2021). PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples. Frontiers in Genetics. 12. 783713–783713. 10 indexed citations
14.
15.
Colaprico, Antonio, Catharina Olsen, Matthew H. Bailey, et al.. (2020). Interpreting pathways to discover cancer driver genes with Moonlight. Nature Communications. 11(1). 69–69. 62 indexed citations
16.
Colaprico, Antonio, Catharina Olsen, Matthew H. Bailey, et al.. (2020). Interpreting pathways to discover cancer driver genes with Moonlight. Faculty of 1000 Research Ltd. 11(1). 69. 4 indexed citations
17.
Odom, Gabriel, Yuguang Ban, Antonio Colaprico, et al.. (2020). PathwayPCA: an R/Bioconductor Package for Pathway Based Integrative Analysis of Multi‐Omics Data. PROTEOMICS. 20(21-22). e1900409–e1900409. 8 indexed citations
18.
Gomez, Lissette, Gabriel Odom, Juan I. Young, et al.. (2019). coMethDMR: accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies with continuous phenotypes. Nucleic Acids Research. 47(17). e98–e98. 22 indexed citations
19.
Odom, Gabriel, Kathryn B. Newhart, Tzahi Y. Cath, & Amanda S. Hering. (2018). Multistate multivariate statistical process control. Applied Stochastic Models in Business and Industry. 34(6). 880–892. 10 indexed citations
20.
Mallik, Saurav, Gabriel Odom, Zhen Gao, et al.. (2018). An evaluation of supervised methods for identifying differentially methylated regions in Illumina methylation arrays. Briefings in Bioinformatics. 20(6). 2224–2235. 73 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Aleksandr Zenin Breakdown of academic impact, for papers by Zelin Jin Breakdown of academic impact, for papers by Justiina Ronkainen Breakdown of academic impact, for papers by Juan Cui Breakdown of academic impact, for papers by Sophie Molnos Breakdown of academic impact, for papers by Jingshen Wang Breakdown of academic impact, for papers by Paraskevi Christofidou Breakdown of academic impact, for papers by Vered Madar Breakdown of academic impact, for papers by Sudhanshu Patwardhan
Rankless by CCL
2026