Félix M. Goñi

493 total papers · 21.5k total citations
374 papers, 15.5k citations indexed

About

Félix M. Goñi is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Félix M. Goñi has authored 374 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 318 papers in Molecular Biology, 65 papers in Physiology and 53 papers in Organic Chemistry. Recurrent topics in Félix M. Goñi's work include Lipid Membrane Structure and Behavior (253 papers), Sphingolipid Metabolism and Signaling (101 papers) and Surfactants and Colloidal Systems (50 papers). Félix M. Goñi is often cited by papers focused on Lipid Membrane Structure and Behavior (253 papers), Sphingolipid Metabolism and Signaling (101 papers) and Surfactants and Colloidal Systems (50 papers). Félix M. Goñi collaborates with scholars based in Spain, United States and United Kingdom. Félix M. Goñi's co-authors include Alicia Alonso, José Luis R. Arrondo, Jesús Sot, Arturo Muga, José L. R. Arrondo, José L. Nieva, Helena Ostolaza, Dov Lichtenberg, José Castresana and Hasna Ahyayauch and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Félix M. Goñi

369 papers receiving 15.2k citations

Hit Papers

Quantitative studies of t... 1993 2026 2004 2015 1993 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Félix M. Goñi 12.0k 2.2k 2.0k 1.7k 1.2k 374 15.5k
Paavo K.J. Kinnunen 9.2k 0.8× 1.9k 0.9× 1.2k 0.6× 1.5k 0.8× 1.1k 0.9× 260 12.5k
Arie J. Verkleij 11.1k 0.9× 2.1k 1.0× 809 0.4× 2.5k 1.4× 950 0.8× 260 16.8k
Richard M. Epand 19.3k 1.6× 1.5k 0.7× 2.8k 1.4× 2.1k 1.2× 1.2k 1.0× 543 25.4k
Robert Bittman 11.3k 0.9× 1.7k 0.8× 2.7k 1.3× 2.3k 1.3× 578 0.5× 380 16.0k
H. Häuser 10.8k 0.9× 1.0k 0.5× 1.8k 0.9× 930 0.5× 1.3k 1.1× 420 18.0k
L.L.M. Van Deenen 18.0k 1.5× 3.9k 1.8× 1.8k 0.9× 2.7k 1.5× 1.3k 1.1× 316 24.0k
Erwin London 15.6k 1.3× 2.2k 1.0× 1.4k 0.7× 3.5k 2.0× 1.7k 1.4× 192 19.3k
Alicia Alonso 8.1k 0.7× 1.6k 0.7× 1.6k 0.8× 1.3k 0.8× 712 0.6× 258 9.8k
Thomas M. Jovin 11.8k 1.0× 2.3k 1.1× 1.0k 0.5× 1.4k 0.8× 955 0.8× 298 19.4k
Meir Shinitzky 7.8k 0.6× 1.8k 0.8× 1.1k 0.5× 809 0.5× 812 0.7× 171 12.6k

Countries citing papers authored by Félix M. Goñi

Since Specialization
Citations

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

Fields of papers citing papers by Félix M. Goñi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Félix M. Goñi. 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 Félix M. Goñi. The network helps show where Félix M. Goñi may publish in the future.

Co-authorship network of co-authors of Félix M. Goñi

This figure shows the co-authorship network connecting the top 25 collaborators of Félix M. Goñi. A scholar is included among the top collaborators of Félix M. Goñi 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 Félix M. Goñi. Félix M. Goñi 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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