Flor V. Barnola

22 total papers · 519 total citations
19 papers, 419 citations indexed

About

Flor V. Barnola is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Flor V. Barnola has authored 19 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 9 papers in Environmental Chemistry. Recurrent topics in Flor V. Barnola's work include Lipid Membrane Structure and Behavior (9 papers), Marine Toxins and Detection Methods (9 papers) and Photoreceptor and optogenetics research (6 papers). Flor V. Barnola is often cited by papers focused on Lipid Membrane Structure and Behavior (9 papers), Marine Toxins and Detection Methods (9 papers) and Photoreceptor and optogenetics research (6 papers). Flor V. Barnola collaborates with scholars based in Venezuela, United States and Argentina. Flor V. Barnola's co-authors include Raimundo Villegas, Germán Camejo, Gloria M. Villegas, Carlos Sevcik, Jorge Villegas, George K. Chacko, Efraim Racker, David E. Goldman, David E. Goldman and Reinaldo DiPolo and has published in prestigious journals such as Nature, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

In The Last Decade

Flor V. Barnola

19 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Flor V. Barnola	288	199	88	47	36	19	419
Dexter M. Easton	142 0.5×	216 1.1×	21 0.2×	61 1.3×	50 1.4×	30	493
John S. Brabson	335 1.2×	138 0.7×	44 0.5×	21 0.4×	28 0.8×	9	421
Amy L. Eastwood	320 1.1×	162 0.8×	22 0.3×	47 1.0×	13 0.4×	9	430
Jean Pierre Abita	332 1.2×	144 0.7×	55 0.6×	41 0.9×	29 0.8×	14	421
Béatrice Rouzaire‐Dubois	359 1.2×	165 0.8×	23 0.3×	32 0.7×	30 0.8×	15	471
Aurelio De Santis	303 1.1×	49 0.2×	17 0.2×	18 0.4×	15 0.4×	19	443
Fayal Abderemane-Ali	368 1.3×	191 1.0×	18 0.2×	17 0.4×	11 0.3×	15	407
Dan Raveed	271 0.9×	77 0.4×	21 0.2×	17 0.4×	40 1.1×	15	401
F. H. Foppen	139 0.5×	92 0.5×	14 0.2×	34 0.7×	30 0.8×	21	441
Akira Ishikawa	76 0.3×	128 0.6×	53 0.6×	104 2.2×	18 0.5×	16	442

Countries citing papers authored by Flor V. Barnola

Since Specialization

Citations

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

Fields of papers citing papers by Flor V. Barnola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flor V. Barnola

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