Jonathan Goya

625 total citations
10 papers, 461 citations indexed

About

Jonathan Goya is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Jonathan Goya has authored 10 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Spectroscopy. Recurrent topics in Jonathan Goya's work include Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). Jonathan Goya is often cited by papers focused on Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). Jonathan Goya collaborates with scholars based in United States, Switzerland and Italy. Jonathan Goya's co-authors include Evgeny Berdyshev, Viswanathan Natarajan, Sean R. Hackett, Joshua D. Rabinowitz, John D. Storey, Wenxin Xu, David Botstein, Junyoung O. Park, Vito Riccardo Tomaso Zanotelli and Patrick A. Gibney and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jonathan Goya

9 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Goya United States 8 388 77 53 49 39 10 461
Rudy Stuppard United States 4 379 1.0× 73 0.9× 97 1.8× 135 2.8× 25 0.6× 6 482
Jixian Xiong China 12 258 0.7× 112 1.5× 20 0.4× 54 1.1× 12 0.3× 18 375
Hans-Christoph Schneider Germany 8 559 1.4× 38 0.5× 94 1.8× 58 1.2× 5 0.1× 8 684
Chia-Feng Tsai Taiwan 8 290 0.7× 137 1.8× 16 0.3× 47 1.0× 17 0.4× 8 388
Sungwon Bae South Korea 8 191 0.5× 37 0.5× 32 0.6× 31 0.6× 19 0.5× 12 334
Louise Reilly United States 15 437 1.1× 21 0.3× 50 0.9× 72 1.5× 9 0.2× 22 580
Marion Herrmann Germany 7 307 0.8× 131 1.7× 39 0.7× 44 0.9× 9 0.2× 8 396
Christian B. Billesbølle United States 9 232 0.6× 25 0.3× 25 0.5× 15 0.3× 38 1.0× 12 504
Joshua Wilson‐Grady United States 9 385 1.0× 102 1.3× 55 1.0× 101 2.1× 7 0.2× 9 546
Tomoko Shibata Japan 6 190 0.5× 16 0.2× 70 1.3× 44 0.9× 13 0.3× 9 529

Countries citing papers authored by Jonathan Goya

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Goya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Goya

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

All Works

10 of 10 papers shown
1.
Hackett, Sean R., Vito Riccardo Tomaso Zanotelli, Wenxin Xu, et al.. (2016). Systems-level analysis of mechanisms regulating yeast metabolic flux. Science. 354(6311). 206 indexed citations
2.
Goya, Jonathan, et al.. (2015). FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Research. 43(W1). W182–W187. 19 indexed citations
3.
Molden, Rosalynn C., et al.. (2014). Stable Isotope Labeling of Phosphoproteins for Large-scale Phosphorylation Rate Determination. Molecular & Cellular Proteomics. 13(4). 1106–1118. 25 indexed citations
4.
Горшкова, И. А., Huashan Wang, Gerasim A. Orbelyan, et al.. (2013). Inhibition of sphingosine-1-phosphate lyase rescues sphingosine kinase-1-knockout phenotype following murine cardiac arrest. Life Sciences. 93(9-11). 359–366. 23 indexed citations
5.
Coant, Nicolas, И. А. Горшкова, Paola Giussani, et al.. (2012). Role of palmitate-induced sphingoid base-1-phosphate biosynthesis in INS-1 β-cell survival. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1831(2). 251–262. 34 indexed citations
6.
Li, Wenzhou, et al.. (2011). SQID: An Intensity-Incorporated Protein Identification Algorithm for Tandem Mass Spectrometry. Journal of Proteome Research. 10(4). 1593–1602. 48 indexed citations
7.
Goya, Jonathan, et al.. (2011). Correlations Of Lung Ceramide Expression With Clinical Parameters In COPD. A6368–A6368. 1 indexed citations
8.
Qin, Jingdong, Evgeny Berdyshev, Jonathan Goya, Viswanathan Natarajan, & Glyn Dawson. (2010). Neurons and Oligodendrocytes Recycle Sphingosine 1-Phosphate to Ceramide. Journal of Biological Chemistry. 285(19). 14134–14143. 69 indexed citations
9.
Berdyshev, Evgeny, Jonathan Goya, И. А. Горшкова, et al.. (2010). Characterization of sphingosine-1-phosphate lyase activity by electrospray ionization–liquid chromatography/tandem mass spectrometry quantitation of (2E)-hexadecenal. Analytical Biochemistry. 408(1). 12–18. 35 indexed citations
10.
Zhao, Yutong, Donghong He, Evgeny Berdyshev, et al.. (2010). Deletion of Lysophosphatidic acid Receptors 1 and 2 Protects Against Lipopolysaccharide‐Induced Acute Lung Injury in Mice. The FASEB Journal. 24(S1). 1 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