Eponine Oler

5.5k total citations · 2 hit papers
16 papers, 937 citations indexed

About

Eponine Oler is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Eponine Oler has authored 16 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Ecology. Recurrent topics in Eponine Oler's work include Metabolomics and Mass Spectrometry Studies (9 papers), Bioinformatics and Genomic Networks (4 papers) and Analytical Chemistry and Chromatography (3 papers). Eponine Oler is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Bioinformatics and Genomic Networks (4 papers) and Analytical Chemistry and Chromatography (3 papers). Eponine Oler collaborates with scholars based in Canada, United States and Netherlands. Eponine Oler's co-authors include David S. Wishart, Vasuk Gautam, Harrison Peters, Siyang Tian, Scott Han, Jason R. Grant, Paul Stothard, An Chi Guo, Russell Greiner and Dana G. Allen and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Pharmacological Reviews.

In The Last Decade

Eponine Oler

14 papers receiving 924 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Potential, Drug Targets, and Clinical Trials

2022 272 citations Maija Dambrova, Marina Makrecka‐Kuka et al. Pharmacological Reviews profile →
PHASTEST: faster than PHASTER, better than PHAST

2023 206 citations David S. Wishart, Scott Han et al. Nucleic Acids Research profile →

Peers

Eponine Oler

MB

ECOLO

PHYSI

SPECT

CTM

Amina Bouslimani United States

Steven Halouska United States

Diogo Noin de Oliveira Brazil

Konstantinos A. Kouremenos Australia

Chang Wang China

Juan F. González Spain

Alexandra C. Schrimpe‐Rutledge United States

Ivan Protsyuk United States

Bente Steffansen Denmark

Hui Song China

Amina Bouslimani United States

Eponine Oler

670 ×1.2

MB

93 ×1.1

ECOLO

69 ×0.8

PHYSI

167 ×2.1

SPECT

26 ×0.3

CTM

Citations per year, relative to Eponine Oler Eponine Oler (= 1×) peers Amina Bouslimani

Countries citing papers authored by Eponine Oler

Since Specialization

Citations

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

Fields of papers citing papers by Eponine Oler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eponine Oler

This figure shows the co-authorship network connecting the top 25 collaborators of Eponine Oler. A scholar is included among the top collaborators of Eponine Oler 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 Eponine Oler. Eponine Oler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Mandal, Rupasri, Jiamin Zheng, Lun Zhang, et al.. (2025). Comprehensive, Quantitative Analysis of SRM 1950: the NIST Human Plasma Reference Material. Analytical Chemistry. 97(1). 667–675. 8 indexed citations

2.

Poelzer, Jenna, et al.. (2025). BASys2: a next-generation bacterial genome annotation system. Nucleic Acids Research. 53(W1). W57–W67.

3.

Poelzer, Jenna, Samuel Stuart, Eponine Oler, et al.. (2025). WEGAN: a web-based community ecology platform. Frontiers in Ecology and Evolution. 13.

4.

López‐Hernández, Yamilé, Rupasri Mandal, Jiamin Zheng, et al.. (2024). The Urinary Metabolome of Newborns with Perinatal Complications. Metabolites. 14(1). 41–41. 3 indexed citations

5.

Anjum, Afia, Tanvir Sajed, Eponine Oler, et al.. (2024). GCMS-ID: a webserver for identifying compounds from gas chromatography mass spectrometry experiments. Nucleic Acids Research. 52(W1). W381–W389. 4 indexed citations

6.

Wishart, David S., Jason R. Grant, Paul Stothard, et al.. (2023). PlasMapper 3.0—a web server for generating, editing, annotating and visualizing publication quality plasmid maps. Nucleic Acids Research. 51(W1). W459–W467. 8 indexed citations

7.

Wishart, David S., Scott Han, Eponine Oler, et al.. (2023). PHASTEST: faster than PHASTER, better than PHAST. Nucleic Acids Research. 51(W1). W443–W450. 206 indexed citations breakdown →

8.

Rout, Manoj Kumar, Matthias Lipfert, Brian L. Lee, et al.. (2023). MagMet: A fully automated web server for targeted nuclear magnetic resonance metabolomics of plasma and serum. Magnetic Resonance in Chemistry. 61(12). 681–704. 15 indexed citations

9.

Pasin, Daniel, Michael A. Skinnider, Jaanus Liigand, et al.. (2023). Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances. Analytical Chemistry. 95(50). 18326–18334. 20 indexed citations

10.

Wishart, David S., Harrison Peters, Eponine Oler, et al.. (2022). ChemFOnt: the chemical functional ontology resource. Nucleic Acids Research. 51(D1). D1220–D1229. 10 indexed citations

11.

Dambrova, Maija, Marina Makrecka‐Kuka, Janis Kuka, et al.. (2022). Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Potential, Drug Targets, and Clinical Trials. Pharmacological Reviews. 74(3). 506–551. 272 indexed citations breakdown →

12.

Wishart, David S., Siyang Tian, Dana G. Allen, et al.. (2022). BioTransformer 3.0—a web server for accurately predicting metabolic transformation products. Nucleic Acids Research. 50(W1). W115–W123. 106 indexed citations

13.

Wishart, David S., Eponine Oler, Harrison Peters, et al.. (2022). MiMeDB: the Human Microbial Metabolome Database. Nucleic Acids Research. 51(D1). D611–D620. 56 indexed citations

14.

Wang, Fei, Dana G. Allen, Siyang Tian, et al.. (2022). CFM-ID 4.0 – a web server for accurate MS-based metabolite identification. Nucleic Acids Research. 50(W1). W165–W174. 71 indexed citations

15.

Wishart, David S., Eponine Oler, Kevin Y. H. Liang, et al.. (2020). MarkerDB: an online database of molecular biomarkers. Nucleic Acids Research. 49(D1). D1259–D1267. 77 indexed citations

16.

Wishart, David S., Carin Li, Ana Marcu, et al.. (2019). PathBank: a comprehensive pathway database for model organisms. Nucleic Acids Research. 48(D1). D470–D478. 81 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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