Jonathan Goya

15 total papers · 622 total citations
10 papers, 460 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 460 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 Mass Spectrometry 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 Mass Spectrometry 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, Patrick A. Gibney, David Botstein, Vito Riccardo Tomaso Zanotelli, Joshua D. Rabinowitz, Sean R. Hackett, Wenxin Xu, Junyoung O. Park and John D. Storey 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 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jonathan Goya	387	77	53	49	38	10	460
Tamara Kanashova	333 0.9×	122 1.6×	34 0.6×	43 0.9×	38 1.0×	10	504
Xiao Guo	353 0.9×	58 0.8×	34 0.6×	77 1.6×	15 0.4×	10	492
Benjamin D. Stein	293 0.8×	111 1.4×	23 0.4×	37 0.8×	17 0.4×	9	414
Neil C. Pomroy	298 0.8×	35 0.5×	45 0.8×	20 0.4×	17 0.4×	10	441
Takuji Nabetani	310 0.8×	88 1.1×	50 0.9×	56 1.1×	9 0.2×	19	521
C. Geeth Gunawardana	284 0.7×	89 1.2×	80 1.5×	33 0.7×	20 0.5×	10	473
Rudy Stuppard	379 1.0×	73 0.9×	98 1.8×	135 2.8×	25 0.7×	6	476
Mingming Niu	307 0.8×	118 1.5×	132 2.5×	59 1.2×	14 0.4×	14	470
Arfa Maqsood	360 0.9×	73 0.9×	32 0.6×	35 0.7×	45 1.2×	17	502
Ayşe Nur Polat	344 0.9×	111 1.4×	19 0.4×	82 1.7×	25 0.7×	7	449

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

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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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