Josefina Casas

406 total papers · 19.9k total citations
288 papers, 8.5k citations indexed

About

Josefina Casas is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Josefina Casas has authored 288 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 65 papers in Physiology and 45 papers in Organic Chemistry. Recurrent topics in Josefina Casas's work include Sphingolipid Metabolism and Signaling (69 papers), Lysosomal Storage Disorders Research (37 papers) and Carbohydrate Chemistry and Synthesis (35 papers). Josefina Casas is often cited by papers focused on Sphingolipid Metabolism and Signaling (69 papers), Lysosomal Storage Disorders Research (37 papers) and Carbohydrate Chemistry and Synthesis (35 papers). Josefina Casas collaborates with scholars based in Spain, United States and France. Josefina Casas's co-authors include Gemma Fabriàs, Antonio Delgado, Joseph G. Ponterotto, Amadeu Llebaria, José Luı́s Abad, L. Cifuentes, Joseph G. Ponterotto, Lisa A. Suzuki, Charlene M. Alexander and Nancy E. Betz and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Josefina Casas

287 papers receiving 8.1k citations

Author Peers

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

Author Last Decade Papers Cites
Josefina Casas 3.4k 1.1k 1.1k 1.1k 811 288 8.5k
Jing Wang 4.0k 1.2× 1.6k 1.4× 519 0.5× 265 0.2× 659 0.8× 366 10.0k
Young S. Kim 5.7k 1.7× 1.2k 1.0× 443 0.4× 970 0.9× 2.5k 3.0× 188 14.9k
Gerald M. Rosen 3.2k 1.0× 357 0.3× 3.8k 3.4× 1.8k 1.6× 1.4k 1.7× 362 15.4k
E. Boyland 2.9k 0.9× 230 0.2× 1.1k 1.0× 1.0k 0.9× 1.5k 1.9× 326 13.0k
Huiping Zhang 3.2k 1.0× 252 0.2× 603 0.5× 817 0.7× 521 0.6× 440 9.8k
David Kipnis 4.5k 1.3× 1.3k 1.2× 4.1k 3.6× 270 0.2× 356 0.4× 163 15.8k
David M. Greenberg 2.8k 0.8× 563 0.5× 625 0.6× 234 0.2× 2.1k 2.6× 257 8.4k
Nan Zhang 3.8k 1.1× 269 0.2× 1.1k 1.0× 363 0.3× 379 0.5× 724 13.4k
Hans Selye 1.4k 0.4× 2.2k 1.9× 1.3k 1.2× 135 0.1× 2.0k 2.5× 543 14.6k
Kenneth M. Johnson 3.0k 0.9× 396 0.3× 552 0.5× 580 0.5× 273 0.3× 273 11.5k

Countries citing papers authored by Josefina Casas

Since Specialization
Citations

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

Fields of papers citing papers by Josefina Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josefina Casas

This figure shows the co-authorship network connecting the top 25 collaborators of Josefina Casas. A scholar is included among the top collaborators of Josefina Casas 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 Josefina Casas. Josefina Casas 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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2026