Alejandro J. Vila

188 papers receiving 6.3k citations

Peers

Alejandro J. Vila
Comparison fields: 5 of 137
  • Molecular Medicine 2.8k
  • Endocrinology 743
  • Applied Microbiology and Biotechnology 173
  • Pharmacology 969
  • Molecular Biology 2.8k
Replace Grant K. Walkup with:
Grant K. Walkup United States
Paul J. Hergenrother United States
Ryosuke Nakashima Japan
Marvin J. Miller United States
Peter J. F. Henderson United Kingdom
S G Waley United Kingdom
Donald W. Hughes Canada
Albert M. Berghuis Canada
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Citations per year

Countries citing papers authored by Alejandro J. Vila

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro J. Vila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alejandro J. 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 Alejandro J. Vila Line = papers co-authored together Alejandro J. Vila links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993357
2 2006322
3 2017290
4 2021157
5 2016112
6 1994110
7 2015108
8 2017108
9 199898
10 200897
11 201596
12 201096
13 200885
14 200083
15 200580
16 201979
17 200477
18
Cyan fluorescent protein expression in ganglion and amacrine cells in a thy1-CFP transgenic mouse retina.
200876
19 201974
20 201470

About Alejandro J. Vila

Alejandro J. Vila is a scholar working on Molecular Biology, Molecular Medicine, Endocrinology, Pharmacology and Epidemiology, having authored 192 papers that have together received 6.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (88 papers), Photosynthetic Processes and Mechanisms (35 papers), Bacterial biofilms and quorum sensing (25 papers), Vibrio bacteria research studies (24 papers), Antibiotics Pharmacokinetics and Efficacy (21 papers), Trace Elements in Health (17 papers), Electrochemical Analysis and Applications (15 papers) and Metal-Catalyzed Oxygenation Mechanisms (14 papers). The work is most often cited by research in Molecular Medicine (2.8k citations), Endocrinology (743 citations), Applied Microbiology and Biotechnology (173 citations), Pharmacology (969 citations) and Molecular Biology (2.8k citations). Alejandro J. Vila has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include Ivano Bertini, Lisandro J. González, Leticia I. Llarrull, James Spencer, Luciano A. Abriata, Robert A. Bonomo, Paola Turano, Michael W. Crowder, Rodolfo M. Rasia and Paolo Carloni. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of the American Chemical Society, Biochemistry, Journal of Biological Chemistry and Inorganic Chemistry.

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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