Daniel Figeys

20.2k total citations · 1 hit paper
257 papers, 10.8k citations indexed

About

Daniel Figeys is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Daniel Figeys has authored 257 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Molecular Biology, 106 papers in Spectroscopy and 29 papers in Biomedical Engineering. Recurrent topics in Daniel Figeys's work include Advanced Proteomics Techniques and Applications (94 papers), Mass Spectrometry Techniques and Applications (57 papers) and Metabolomics and Mass Spectrometry Studies (47 papers). Daniel Figeys is often cited by papers focused on Advanced Proteomics Techniques and Applications (94 papers), Mass Spectrometry Techniques and Applications (57 papers) and Metabolomics and Mass Spectrometry Studies (47 papers). Daniel Figeys collaborates with scholars based in Canada, United States and China. Daniel Figeys's co-authors include Ruedi Aebersold, Devanand M. Pinto, Xu Zhang, Zhibin Ning, Janice Mayne, Alain Stintzi, Leyuan Li, Jean‐Philippe Lambert, Hu Zhou and Jeffrey C. Smith and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Daniel Figeys

253 papers receiving 10.5k 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.

Butyrate’s role in human health and the current progress towards its clinical application to treat gastrointestinal disease

2022 193 citations Kendra Hodgkinson, Peter Dobranowski et al. Clinical Nutrition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Figeys Canada	58	6.6k	3.0k	2.0k	921	745	257	10.8k
David Camp United States	61	7.5k 1.1×	5.0k 1.6×	702 0.3×	662 0.7×	285 0.4×	152	11.7k
Jean‐Charles Sanchez Switzerland	61	8.3k 1.3×	4.5k 1.5×	607 0.3×	997 1.1×	302 0.4×	225	13.3k
Yufeng Shen United States	64	6.8k 1.0×	5.1k 1.7×	1.4k 0.7×	509 0.6×	313 0.4×	253	15.1k
Nicola Zamboni Switzerland	56	9.0k 1.4×	1.0k 0.3×	1.0k 0.5×	1.5k 1.6×	268 0.4×	143	12.4k
Thierry Rabilloud France	50	6.2k 0.9×	2.8k 0.9×	846 0.4×	488 0.5×	160 0.2×	181	9.9k
M. Arthur Moseley United States	41	2.6k 0.4×	1.7k 0.6×	764 0.4×	604 0.7×	386 0.5×	144	5.4k
Ying Ge United States	55	6.0k 0.9×	4.4k 1.4×	854 0.4×	368 0.4×	174 0.2×	257	9.8k
Joshua J. Coon United States	73	13.6k 2.1×	10.3k 3.4×	2.4k 1.2×	1.2k 1.3×	235 0.3×	359	22.0k
Katja Dettmer Germany	39	4.1k 0.6×	1.4k 0.5×	833 0.4×	449 0.5×	258 0.3×	115	7.1k
Mark P. Molloy Australia	42	4.4k 0.7×	2.2k 0.7×	426 0.2×	548 0.6×	174 0.2×	223	8.0k

Countries citing papers authored by Daniel Figeys

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Figeys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Figeys

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Figeys. A scholar is included among the top collaborators of Daniel Figeys 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 Daniel Figeys. Daniel Figeys 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:

20 of 20 papers shown

Sané, Alain Théophile, Valérie Marcil, James Butcher, et al.. (2025). Therapeutic Potential of Cranberry Proanthocyanidins in Addressing the Pathophysiology of Metabolic Syndrome: A Scrutiny of Select Mechanisms of Action. Antioxidants. 14(3). 268–268.

Sané, Alain Théophile, Natalie Patey, Schohraya Spahis, et al.. (2024). Glycomacropeptide as an Efficient Agent to Fight Pathophysiological Mechanisms of Metabolic Syndrome. Nutrients. 16(6). 871–871. 4 indexed citations

Gao, Fangyuan, Zhibin Ning, Dorota Skowronska‐Krawczyk, et al.. (2024). Retinal Proteome Profiling of Inherited Retinal Degeneration Across Three Different Mouse Models Suggests Common Drug Targets in Retinitis Pigmentosa. Molecular & Cellular Proteomics. 23(11). 100855–100855. 1 indexed citations

Duong, Van‐An, Lakmini Senavirathna, Kristi L. Hoffman, et al.. (2024). A complementary metaproteomic approach to interrogate microbiome cultivated from clinical colon biopsies. PROTEOMICS. 24(21-22). e2400078–e2400078.

Wang, Tong, Leyuan Li, Daniel Figeys, & Yang‐Yu Liu. (2024). Pairing metagenomics and metaproteomics to characterize ecological niches and metabolic essentiality of gut microbiomes. ISME Communications. 4(1). ycae063–ycae063. 3 indexed citations

Zhang, Xu, Krystal Walker, Janice Mayne, et al.. (2022). Evaluating live microbiota biobanking using an ex vivo microbiome assay and metaproteomics. Gut Microbes. 14(1). 2035658–2035658. 14 indexed citations

Hodgkinson, Kendra, Peter Dobranowski, James Butcher, et al.. (2022). Butyrate’s role in human health and the current progress towards its clinical application to treat gastrointestinal disease. Clinical Nutrition. 42(2). 61–75. 193 indexed citations breakdown →

Chang, Lu, Feifei Lin, Kai Cheng, et al.. (2021). A simultaneous identification and quantification strategy for determination of sulfhydryl-containing metabolites in normal- and high-fat diet hamsters using stable isotope labeling combined with LC-MS. Analytica Chimica Acta. 1184. 339016–339016. 7 indexed citations

Ning, Zhibin, Xu Zhang, Leyuan Li, et al.. (2020). pepFunk: a tool for peptide-centric functional analysis of metaproteomic human gut microbiome studies. Bioinformatics. 36(14). 4171–4179. 11 indexed citations

10.

Sulaiman, Andrew, Sara El‐Sahli, Li Li, et al.. (2019). Co-targeting Bulk Tumor and CSCs in Clinically Translatable TNBC Patient-Derived Xenografts via Combination Nanotherapy. Molecular Cancer Therapeutics. 18(10). 1755–1764. 21 indexed citations

11.

Mayne, Janice, et al.. (2019). Therapeutic Targeting of Casein Kinase 1δ/ε in an Alzheimer’s Disease Mouse Model. Journal of Proteome Research. 18(9). 3383–3393. 28 indexed citations

12.

Zhang, Xu, Shelley A. Deeke, Zhibin Ning, et al.. (2018). Metaproteomics reveals associations between microbiome and intestinal extracellular vesicle proteins in pediatric inflammatory bowel disease. Nature Communications. 9(1). 2873–2873. 191 indexed citations

13.

Catelas, Isabelle, et al.. (2018). Differential proteomic analysis of synovial fluid from hip arthroplasty patients with a pseudotumor vs. Periprosthetic osteolysis. Journal of Orthopaedic Research®. 36(7). 1849–1859. 5 indexed citations

14.

Tworak, Aleksander, Brian M. Kevany, Bo Xu, et al.. (2017). Quantitative phosphoproteomics reveals involvement of multiple signaling pathways in early phagocytosis by the retinal pigmented epithelium. Journal of Biological Chemistry. 292(48). 19826–19839. 14 indexed citations

15.

Fowler, Stephanie L., et al.. (2013). The Liver Connexin32 Interactome Is a Novel Plasma Membrane-Mitochondrial Signaling Nexus. Journal of Proteome Research. 12(6). 2597–2610. 43 indexed citations

16.

Lambert, Jean‐Philippe, Kristin Baetz, & Daniel Figeys. (2009). Of proteins and DNA—proteomic role in the field of chromatin research. Molecular BioSystems. 6(1). 30–37. 4 indexed citations

17.

Sopko, Richelle, Dongqing Huang, Jeffrey C. Smith, Daniel Figeys, & Brenda Andrews. (2007). Activation of the Cdc42p GTPase by cyclin‐dependent protein kinases in budding yeast. The EMBO Journal. 26(21). 4487–4500. 74 indexed citations

18.

Smith, Jeffrey C. & Daniel Figeys. (2006). Proteomics technology in systems biology. Molecular BioSystems. 2(8). 364–370. 25 indexed citations

19.

Figeys, Daniel. (2005). Industrial proteomics : applications for biotechnology and pharmaceuticals. Wiley-Interscience eBooks. 3 indexed citations

20.

Figeys, Daniel & Devanand M. Pinto. (2000). Lab-on-a-Chip: A Revolution in Biological and Medical Sciences.. Analytical Chemistry. 72(9). 330 A–335 A. 434 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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