Yannick Djoumbou-Feunang

23.5k total citations · 4 hit papers
17 papers, 5.9k citations indexed

About

Yannick Djoumbou-Feunang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Yannick Djoumbou-Feunang has authored 17 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Spectroscopy. Recurrent topics in Yannick Djoumbou-Feunang's work include Metabolomics and Mass Spectrometry Studies (15 papers), Computational Drug Discovery Methods (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Yannick Djoumbou-Feunang is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (15 papers), Computational Drug Discovery Methods (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Yannick Djoumbou-Feunang collaborates with scholars based in Canada, United States and United Kingdom. Yannick Djoumbou-Feunang's co-authors include David S. Wishart, Craig Knox, Vanessa Neveu, Allison Pon, Vivian Law, Roman Eisner, An Chi Guo, Russell Greiner, Michael Wilson and David Arndt and has published in prestigious journals such as Nucleic Acids Research, Journal of Chemical Information and Modeling and Frontiers in Chemistry.

In The Last Decade

Yannick Djoumbou-Feunang

17 papers receiving 5.8k citations

Hit Papers

DrugBank 4.0: shedding new light on drug metabolism 2010 2026 2015 2020 2013 2010 2016 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannick Djoumbou-Feunang Canada 14 4.0k 2.1k 587 568 508 17 5.9k
An Chi Guo Canada 21 5.2k 1.3× 2.2k 1.1× 589 1.0× 617 1.1× 472 0.9× 39 7.8k
Craig Knox Canada 17 6.3k 1.6× 3.3k 1.6× 863 1.5× 755 1.3× 734 1.4× 20 9.9k
Lianyi Han China 30 4.5k 1.1× 3.0k 1.4× 723 1.2× 411 0.7× 734 1.4× 82 7.6k
Vanessa Neveu France 15 3.1k 0.8× 1.7k 0.8× 498 0.8× 214 0.4× 472 0.9× 18 6.3k
Jiyao Wang China 13 2.6k 0.6× 2.1k 1.0× 495 0.8× 263 0.5× 560 1.1× 57 5.2k
Allison Pon Canada 13 3.7k 0.9× 1.1k 0.5× 265 0.5× 427 0.8× 313 0.6× 15 5.8k
Roman Eisner Canada 17 3.0k 0.7× 1.1k 0.5× 323 0.6× 387 0.7× 364 0.7× 21 5.5k
Qingliang Li China 22 4.2k 1.0× 3.0k 1.4× 726 1.2× 391 0.7× 798 1.6× 53 8.5k
Jane He United States 7 3.9k 1.0× 1.6k 0.8× 425 0.7× 246 0.4× 546 1.1× 9 7.2k

Countries citing papers authored by Yannick Djoumbou-Feunang

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Djoumbou-Feunang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yannick Djoumbou-Feunang. 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 Yannick Djoumbou-Feunang. The network helps show where Yannick Djoumbou-Feunang may publish in the future.

Co-authorship network of co-authors of Yannick Djoumbou-Feunang

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

All Works

17 of 17 papers shown
1.
Djoumbou-Feunang, Yannick, J.H. Kinney, Pritam Chanda, et al.. (2023). Cheminformatics and artificial intelligence for accelerating agrochemical discovery. Frontiers in Chemistry. 11. 1292027–1292027. 12 indexed citations
2.
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
3.
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
4.
Djoumbou-Feunang, Yannick, Jarlei Fiamoncini, Alberto Gil-de-la-Fuente, et al.. (2019). BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification. Journal of Cheminformatics. 11(1). 2–2. 318 indexed citations breakdown →
5.
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
6.
Tian, Siyang, Yannick Djoumbou-Feunang, Russell Greiner, & David S. Wishart. (2018). CypReact: A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes. Journal of Chemical Information and Modeling. 58(6). 1282–1291. 58 indexed citations
7.
Djoumbou-Feunang, Yannick. (2017). CHEMINFORMATICS TOOLS FOR ENABLING METABOLOMICS. University of Alberta Library. 3 indexed citations
8.
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
9.
Djoumbou-Feunang, Yannick, Roman Eisner, Craig Knox, et al.. (2016). ClassyFire: automated chemical classification with a comprehensive, computable taxonomy. Journal of Cheminformatics. 8(1). 61–61. 1002 indexed citations breakdown →
10.
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
11.
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
12.
Law, Vivian, Craig Knox, Yannick Djoumbou-Feunang, et al.. (2013). DrugBank 4.0: shedding new light on drug metabolism. Nucleic Acids Research. 42(D1). D1091–D1097. 1546 indexed citations breakdown →
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.
Guo, An Chi, Timothy Jewison, Michael Wilson, et al.. (2012). ECMDB: The E. coli Metabolome Database. Nucleic Acids Research. 41(D1). D625–D630. 128 indexed citations
15.
Jewison, Timothy, Craig Knox, Vanessa Neveu, et al.. (2011). YMDB: the Yeast Metabolome Database. Nucleic Acids Research. 40(D1). D815–D820. 147 indexed citations
16.
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 →
17.
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026