Yoric Gagnebin

721 total citations
14 papers, 538 citations indexed

About

Yoric Gagnebin is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Yoric Gagnebin has authored 14 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Biomedical Engineering. Recurrent topics in Yoric Gagnebin's work include Metabolomics and Mass Spectrometry Studies (12 papers), Analytical Chemistry and Chromatography (6 papers) and Advanced Chemical Sensor Technologies (5 papers). Yoric Gagnebin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (12 papers), Analytical Chemistry and Chromatography (6 papers) and Advanced Chemical Sensor Technologies (5 papers). Yoric Gagnebin collaborates with scholars based in Switzerland, France and United States. Yoric Gagnebin's co-authors include Serge Rudaz, Julien Boccard, Víctor González‐Ruiz, Julian Pezzatti, Julie Schappler, Belén Ponte, Santiago Codesido, Pierre Lescuyer, Abhinav Joshi and Didier Picard and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of Chromatography A.

In The Last Decade

Yoric Gagnebin

14 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoric Gagnebin Switzerland 11 386 215 121 56 29 14 538
Julian Pezzatti Switzerland 13 341 0.9× 304 1.4× 112 0.9× 86 1.5× 21 0.7× 20 520
Timothy Sangster United Kingdom 6 387 1.0× 130 0.6× 93 0.8× 53 0.9× 46 1.6× 8 558
Mingdu Luo China 7 363 0.9× 225 1.0× 65 0.5× 28 0.5× 28 1.0× 9 503
Leepika Tuli United States 7 547 1.4× 174 0.8× 102 0.8× 26 0.5× 58 2.0× 9 736
Martin F. Almstetter Germany 12 428 1.1× 270 1.3× 173 1.4× 54 1.0× 29 1.0× 13 708
Mónica Narváez-Rivas Spain 14 206 0.5× 97 0.5× 111 0.9× 46 0.8× 16 0.6× 34 588
Komal Kanojia Australia 9 360 0.9× 76 0.4× 99 0.8× 23 0.4× 47 1.6× 11 552
Riccardo Di Guida United Kingdom 5 291 0.8× 104 0.5× 60 0.5× 20 0.4× 18 0.6× 5 421
Vanesa Alonso‐Herranz Spain 8 260 0.7× 82 0.4× 52 0.4× 25 0.4× 22 0.8× 10 419
Anne‐Lise Royer France 16 236 0.6× 70 0.3× 78 0.6× 38 0.7× 17 0.6× 26 483

Countries citing papers authored by Yoric Gagnebin

Since Specialization
Citations

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

Fields of papers citing papers by Yoric Gagnebin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoric Gagnebin

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

All Works

14 of 14 papers shown
1.
Boccard, Julien, Domitille Schvartz, Santiago Codesido, et al.. (2021). Gaining Insights Into Metabolic Networks Using Chemometrics and Bioinformatics: Chronic Kidney Disease as a Clinical Model. Frontiers in Molecular Biosciences. 8. 682559–682559. 5 indexed citations
2.
Pezzatti, Julian, Julien Boccard, Santiago Codesido, et al.. (2020). Implementation of liquid chromatography–high resolution mass spectrometry methods for untargeted metabolomic analyses of biological samples: A tutorial. Analytica Chimica Acta. 1105. 28–44. 102 indexed citations
3.
Gagnebin, Yoric, David Jaques, Serge Rudaz, et al.. (2020). Exploring blood alterations in chronic kidney disease and haemodialysis using metabolomics. Scientific Reports. 10(1). 19502–19502. 10 indexed citations
4.
Codesido, Santiago, Mohamed Hanafi, Yoric Gagnebin, et al.. (2020). Network principal component analysis: a versatile tool for the investigation of multigroup and multiblock datasets. Bioinformatics. 37(9). 1297–1303. 8 indexed citations
5.
Pezzatti, Julian, Víctor González‐Ruiz, Santiago Codesido, et al.. (2019). A scoring approach for multi-platform acquisition in metabolomics. Journal of Chromatography A. 1592. 47–54. 46 indexed citations
6.
Gagnebin, Yoric, Julian Pezzatti, Pierre Lescuyer, et al.. (2019). Toward a better understanding of chronic kidney disease with complementary chromatographic methods hyphenated with mass spectrometry for improved polar metabolome coverage. Journal of Chromatography B. 1116. 9–18. 16 indexed citations
7.
Gagnebin, Yoric, Julian Pezzatti, Pierre Lescuyer, et al.. (2019). Combining the advantages of multilevel and orthogonal partial least squares data analysis for longitudinal metabolomics: Application to kidney transplantation. Analytica Chimica Acta. 1099. 26–38. 10 indexed citations
8.
Pezzatti, Julian, Matthieu Bergé, Julien Boccard, et al.. (2019). Choosing an Optimal Sample Preparation in Caulobacter crescentus for Untargeted Metabolomics Approaches. Metabolites. 9(10). 193–193. 11 indexed citations
9.
González‐Ruiz, Víctor, Yoric Gagnebin, Nicolas Drouin, et al.. (2018). ROMANCE: A new software tool to improve data robustness and feature identification in CE‐MS metabolomics. Electrophoresis. 39(9-10). 1222–1232. 36 indexed citations
10.
García, A., Yoric Gagnebin, Julien Boccard, et al.. (2018). Steroid profiles in both blood serum and seminal plasma are not correlated and do not reflect sperm quality: Study on the male reproductive health of fifty young Swiss men. Clinical Biochemistry. 62. 39–46. 15 indexed citations
11.
Desfontaine, Vincent, Gioacchino Luca Losacco, Yoric Gagnebin, et al.. (2018). Applicability of supercritical fluid chromatography – mass spectrometry to metabolomics. I – Optimization of separation conditions for the simultaneous analysis of hydrophilic and lipophilic substances. Journal of Chromatography A. 1562. 96–107. 74 indexed citations
12.
Drouin, Nicolas, Julian Pezzatti, Yoric Gagnebin, et al.. (2018). Effective mobility as a robust criterion for compound annotation and identification in metabolomics: Toward a mobility-based library. Analytica Chimica Acta. 1032. 178–187. 38 indexed citations
13.
Gagnebin, Yoric, Julien Boccard, Belén Ponte, & Serge Rudaz. (2018). Metabolomics in chronic kidney disease: Strategies for extended metabolome coverage. Journal of Pharmaceutical and Biomedical Analysis. 161. 313–325. 25 indexed citations
14.
Gagnebin, Yoric, David Tonoli, Pierre Lescuyer, et al.. (2016). Metabolomic analysis of urine samples by UHPLC-QTOF-MS: Impact of normalization strategies. Analytica Chimica Acta. 955. 27–35. 142 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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