E. Vila

19 papers receiving 409 citations

Peers

E. Vila
Comparison fields: 5 of 82
  • Computational Theory and Mathematics 125
  • Physiology 99
  • Biochemistry 25
  • Pharmacology 27
  • Molecular Biology 184
Replace Xiaojing Yuan with:
Xiaojing Yuan China
Mahmoud H. Elbatreek Egypt
Toshiji Igarashi Japan
Uyen Thao Nguyen United States
Muhammad Rafehi Germany
Declan Flynn United States
Jeanine Ballard United States
Matthew Heindel United States
Daniel Sauter Denmark
Minoru Tsuboi Japan
E. Vila relative to Xiaojing Yuan China Xiaojing Yuan's profile →
Citations per field
00.5×1.5×1.8×
Xiaojing Yuan · 1×
Citations per year

Countries citing papers authored by E. Vila

Since Specialization
Citations

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

Fields of papers citing papers by E. Vila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Vila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Vila Line = papers co-authored together E. Vila links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 201358
3 200529
4 201126
5 201321
6 199117
7 199916
8 199515
9 199213
10 20238
11 19907
12 20007
13 19906
14 19864
15 20162
16 20231
17 20251
18 19821
19
3-dimensional analysis of vascular structure, function & receptor distribution using confocal laser scanning microscopy
20001
20 20140

About E. Vila

E. Vila is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 418 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Computational Drug Discovery Methods (3 papers), Pain Mechanisms and Treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Hormonal Regulation and Hypertension (2 papers) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (125 citations), Physiology (99 citations), Biochemistry (25 citations), Pharmacology (27 citations) and Molecular Biology (184 citations). E. Vila has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Luca Pinzi, Ola Engkvist, Annachiara Tinivella, Hongming Chen, Noé Sturm, Giulio Rastelli, Jesús Giraldo, Pilar D’Ocón, I. Mhairi Macrae and Ana M. Briones. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacy and Pharmacology, Frontiers in Pharmacology, Journal of Pharmacology and Experimental Therapeutics and ALTEX.

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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