Allison Pon

21.5k total citations · 3 hit papers
15 papers, 5.8k citations indexed

About

Allison Pon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Allison Pon has authored 15 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Spectroscopy. Recurrent topics in Allison Pon's work include Metabolomics and Mass Spectrometry Studies (10 papers), Bioinformatics and Genomic Networks (6 papers) and Computational Drug Discovery Methods (5 papers). Allison Pon is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Bioinformatics and Genomic Networks (6 papers) and Computational Drug Discovery Methods (5 papers). Allison Pon collaborates with scholars based in Canada, Netherlands and United Kingdom. Allison Pon's co-authors include David S. Wishart, David Arndt, Tanvir Sajed, Yongjie Liang, Ana Marcu, Jason R. Grant, Yannick Djoumbou-Feunang, Craig Knox, An Chi Guo and Vanessa Neveu and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Journal of Visualized Experiments.

In The Last Decade

Allison Pon

15 papers receiving 5.7k citations

Hit Papers

PHASTER: a better, faster version of the PHAST phage s... 2010 2026 2015 2020 2016 2010 2014 500 1000 1.5k 2.0k 2.5k
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.

  1. PHASTER: a better, faster version of the PHAST phage search tool
    2016 2.6k citations David Arndt, Jason R. Grant et al. Nucleic Acids Research profile →
  2. DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs
    2010 1.5k citations Craig Knox, Vivian Law et al. Nucleic Acids Research profile →
  3. CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra
    2014 346 citations Felicity Allen, Allison Pon et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Pon Canada 13 3.7k 1.2k 1.1k 642 546 15 5.8k
David Arndt Canada 12 4.3k 1.2× 1.4k 1.1× 956 0.9× 756 1.2× 661 1.2× 19 7.2k
You Zhou China 25 3.8k 1.0× 819 0.7× 809 0.7× 383 0.6× 393 0.7× 110 6.2k
Athanasios Typas Germany 40 5.8k 1.6× 1.4k 1.1× 239 0.2× 667 1.0× 852 1.6× 77 8.4k
Markus Krummenacker United States 26 7.6k 2.1× 1.1k 0.9× 459 0.4× 442 0.7× 380 0.7× 41 9.5k
Suzanne Paley United States 28 6.8k 1.9× 1.1k 0.9× 400 0.4× 458 0.7× 393 0.7× 60 8.8k
Shigehiko Kanaya Japan 43 5.7k 1.5× 858 0.7× 557 0.5× 368 0.6× 179 0.3× 286 8.1k
Ingrid M. Keseler United States 22 5.9k 1.6× 1.1k 0.9× 308 0.3× 394 0.6× 350 0.6× 28 7.6k
Tjaart de Beer United Kingdom 14 6.5k 1.8× 582 0.5× 716 0.6× 273 0.4× 1.1k 2.0× 25 10.7k
Gerardo Tauriello Switzerland 15 6.4k 1.8× 600 0.5× 686 0.6× 278 0.4× 1.1k 2.0× 22 10.5k
Mario Latendresse United States 23 5.3k 1.5× 951 0.8× 359 0.3× 363 0.6× 314 0.6× 46 7.0k

Countries citing papers authored by Allison Pon

Since Specialization
Citations

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

Fields of papers citing papers by Allison Pon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Pon

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

All Works

15 of 15 papers shown
1.
Djoumbou-Feunang, Yannick, Allison Pon, Naama Karu, et al.. (2019). CFM-ID 3.0: Significantly Improved ESI-MS/MS Prediction and Compound Identification. Metabolites. 9(4). 72–72. 194 indexed citations
2.
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
3.
Ramirez-Gaona, Miguel, et al.. (2017). A Web Tool for Generating High Quality Machine-readable Biological Pathways. Journal of Visualized Experiments. 6 indexed citations
4.
Ramirez-Gaona, Miguel, et al.. (2017). A Web Tool for Generating High Quality Machine-readable Biological Pathways. Journal of Visualized Experiments. 1 indexed citations
5.
Ramirez-Gaona, Miguel, Ana Marcu, Allison Pon, et al.. (2016). YMDB 2.0: a significantly expanded version of the yeast metabolome database. Nucleic Acids Research. 45(D1). D440–D445. 122 indexed citations
6.
Arndt, David, Jason R. Grant, Ana Marcu, et al.. (2016). PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Research. 44(W1). W16–W21. 2553 indexed citations breakdown →
7.
Neveu, Vanessa, Roland Wedekind, Allison Pon, et al.. (2016). Exposome-Explorer: a manually-curated database on biomarkers of exposure to dietary and environmental factors. Nucleic Acids Research. 45(D1). D979–D984. 103 indexed citations
8.
Allen, Felicity, Allison Pon, Russell Greiner, & David S. Wishart. (2016). Computational Prediction of Electron Ionization Mass Spectra to Assist in GC/MS Compound Identification. Analytical Chemistry. 88(15). 7689–7697. 111 indexed citations
9.
Sajed, Tanvir, Ana Marcu, Miguel Ángel Ramírez, et al.. (2015). ECMDB 2.0: A richer resource for understanding the biochemistry ofE. coli. Nucleic Acids Research. 44(D1). D495–D501. 109 indexed citations
10.
Pon, Allison, Timothy Jewison, Yilu Su, et al.. (2015). Pathways with PathWhiz. Nucleic Acids Research. 43(W1). W552–W559. 19 indexed citations
11.
Allen, Felicity, Allison Pon, Michael Wilson, Russell Greiner, & David S. Wishart. (2014). CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra. Nucleic Acids Research. 42(W1). W94–W99. 346 indexed citations breakdown →
12.
Wishart, David S., David Arndt, Allison Pon, et al.. (2014). T3DB: the toxic exposome database. Nucleic Acids Research. 43(D1). D928–D934. 217 indexed citations
13.
Jewison, Timothy, Yilu Su, Yongjie Liang, et al.. (2013). SMPDB 2.0: Big Improvements to the Small Molecule Pathway Database. Nucleic Acids Research. 42(D1). D478–D484. 309 indexed citations
14.
Knox, Craig, Vivian Law, Timothy Jewison, et al.. (2010). DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs. Nucleic Acids Research. 39(Database). D1035–D1041. 1475 indexed citations breakdown →
15.
Lim, Emilia L., Allison Pon, Yannick Djoumbou-Feunang, et al.. (2009). T3DB: a comprehensively annotated database of common toxins and their targets. Nucleic Acids Research. 38(suppl_1). D781–D786. 112 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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