María V. Espelt

26 total papers · 863 total citations
22 papers, 658 citations indexed

About

María V. Espelt is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, María V. Espelt has authored 22 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Physiology and 6 papers in Immunology. Recurrent topics in María V. Espelt's work include Adenosine and Purinergic Signaling (6 papers), Galectins and Cancer Biology (6 papers) and Pancreatic function and diabetes (4 papers). María V. Espelt is often cited by papers focused on Adenosine and Purinergic Signaling (6 papers), Galectins and Cancer Biology (6 papers) and Pancreatic function and diabetes (4 papers). María V. Espelt collaborates with scholars based in Argentina, United States and Austria. María V. Espelt's co-authors include Kevin Strange, María F. Troncoso, Xiaoyan Yin, Ana Y. Estevez, Gabriel A. Rabinovich, Pablo J. Schwarzbaum, María L Bacigalupo, María T. Elola, Carlota Wolfenstein‐Todel and Gerhard Krumschnabel and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Hepatology.

In The Last Decade

María V. Espelt

22 papers receiving 653 citations

Author Peers

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

Author Last Decade Papers Cites
María V. Espelt 315 184 154 92 75 22 658
Rie Kajino‐Sakamoto 359 1.1× 186 1.0× 167 1.1× 84 0.9× 58 0.8× 15 702
Hanna Salmonowicz 385 1.2× 152 0.8× 128 0.8× 64 0.7× 40 0.5× 11 757
Kaisa Selesniemi 321 1.0× 78 0.4× 93 0.6× 42 0.5× 38 0.5× 16 720
Lixin Wang 380 1.2× 74 0.4× 34 0.2× 140 1.5× 55 0.7× 17 699
Milos Simic 459 1.5× 71 0.4× 275 1.8× 78 0.8× 112 1.5× 18 779
Deborah C. I. Goberdhan 452 1.4× 68 0.4× 45 0.3× 17 0.2× 35 0.5× 15 785
Youli Jian 321 1.0× 64 0.3× 76 0.5× 19 0.2× 22 0.3× 18 604
Yuxuan Lu 239 0.8× 101 0.5× 113 0.7× 41 0.4× 35 0.5× 31 702
György Csikós 308 1.0× 73 0.4× 188 1.2× 30 0.3× 12 0.2× 16 681
Xiaoyue Wang 353 1.1× 27 0.1× 104 0.7× 36 0.4× 51 0.7× 36 718

Countries citing papers authored by María V. Espelt

Since Specialization
Citations

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

Fields of papers citing papers by María V. Espelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María V. Espelt. 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 María V. Espelt. The network helps show where María V. Espelt may publish in the future.

Co-authorship network of co-authors of María V. Espelt

This figure shows the co-authorship network connecting the top 25 collaborators of María V. Espelt. A scholar is included among the top collaborators of María V. Espelt 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 María V. Espelt. María V. Espelt 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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