Veronica L. Cavera

21 total papers · 502 total citations
12 papers, 390 citations indexed

About

Veronica L. Cavera is a scholar working on Molecular Biology, Food Science and Microbiology. According to data from OpenAlex, Veronica L. Cavera has authored 12 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Food Science and 3 papers in Microbiology. Recurrent topics in Veronica L. Cavera's work include Probiotics and Fermented Foods (4 papers), Gut microbiota and health (3 papers) and Science Education and Pedagogy (2 papers). Veronica L. Cavera is often cited by papers focused on Probiotics and Fermented Foods (4 papers), Gut microbiota and health (3 papers) and Science Education and Pedagogy (2 papers). Veronica L. Cavera collaborates with scholars based in United States, Netherlands and Russia. Veronica L. Cavera's co-authors include Michael L. Chikindas, Timothy D. Arthur, Dimitri Kashtanov, Ravit Golan Duncan, Katia Sutyak Noll, Santosh Kumar Tiwari, Yashveer Singh, Xiaoping Zhang, Patrick J. Sinko and Shiqi Xu and has published in prestigious journals such as Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and International Journal of Antimicrobial Agents.

In The Last Decade

Veronica L. Cavera

12 papers receiving 377 citations

Author Peers

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

Author						Papers	Cites
Veronica L. Cavera	223	207	93	55	40	12	390
Margaret I. Kanipes	161 0.7×	148 0.7×	26 0.3×	18 0.3×	17 0.4×	18	414
Amir Darb Emamie	200 0.9×	213 1.0×	56 0.6×	63 1.1×	45 1.1×	15	376
Timothy D. Arthur	184 0.8×	274 1.3×	58 0.6×	49 0.9×	31 0.8×	11	439
Matías Pellegrino	297 1.3×	175 0.8×	84 0.9×	42 0.8×	37 0.9×	18	431
Elaine Meade	156 0.7×	181 0.9×	77 0.8×	43 0.8×	31 0.8×	20	440
Konstantina Fotou	165 0.7×	58 0.3×	30 0.3×	16 0.3×	23 0.6×	26	333
Mami Nishie	175 0.8×	250 1.2×	75 0.8×	50 0.9×	36 0.9×	10	358
Nathalie Connil	224 1.0×	292 1.4×	43 0.5×	42 0.8×	48 1.2×	14	439
Sergio E. Pasteris	156 0.7×	168 0.8×	66 0.7×	48 0.9×	31 0.8×	23	371
Kouki Shioya	147 0.7×	295 1.4×	57 0.6×	30 0.5×	39 1.0×	15	398

Countries citing papers authored by Veronica L. Cavera

Since Specialization

Citations

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

Fields of papers citing papers by Veronica L. Cavera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica L. Cavera. 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 Veronica L. Cavera. The network helps show where Veronica L. Cavera may publish in the future.

Co-authorship network of co-authors of Veronica L. Cavera

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica L. Cavera. A scholar is included among the top collaborators of Veronica L. Cavera 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 Veronica L. Cavera. Veronica L. Cavera 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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