Laura Revel

58 total papers · 1.0k total citations
43 papers, 801 citations indexed

About

Laura Revel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology. According to data from OpenAlex, Laura Revel has authored 43 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Laura Revel's work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (4 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Laura Revel is often cited by papers focused on Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (4 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Laura Revel collaborates with scholars based in Italy, Germany and Poland. Laura Revel's co-authors include Francesco Makovec, I Setnikar, R. Cereda, Renan Campos Chisté, Lucio C. Rovati, Massimo Bani, Laura Mennuni, Carla Divieto, Paolo Garofalo and M Impicciatore and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Medicinal Chemistry and Life Sciences.

In The Last Decade

Laura Revel

43 papers receiving 726 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Revel 357 264 171 110 106 43 801
Jiancheng Wang 391 1.1× 462 1.8× 205 1.2× 39 0.4× 76 0.7× 40 938
Marco Criscuoli 371 1.0× 418 1.6× 66 0.4× 68 0.6× 62 0.6× 76 1.0k
Roman Korolkiewicz 130 0.4× 177 0.7× 211 1.2× 65 0.6× 171 1.6× 53 914
Peter J. Bungay 113 0.3× 423 1.6× 86 0.5× 66 0.6× 103 1.0× 35 941
Koji Ueshima 247 0.7× 282 1.1× 276 1.6× 134 1.2× 20 0.2× 43 908
James M. Reynolds 164 0.5× 320 1.2× 166 1.0× 48 0.4× 117 1.1× 37 1.0k
Yasuhide Morioka 133 0.4× 391 1.5× 103 0.6× 201 1.8× 61 0.6× 50 966
T. M. Lin 165 0.5× 302 1.1× 307 1.8× 38 0.3× 82 0.8× 52 975
Ayman E. El-Sahar 131 0.4× 259 1.0× 53 0.3× 92 0.8× 59 0.6× 35 781
Maria João Gama 161 0.5× 597 2.3× 163 1.0× 52 0.5× 113 1.1× 35 1.0k

Countries citing papers authored by Laura Revel

Since Specialization
Citations

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

Fields of papers citing papers by Laura Revel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Revel

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Revel. A scholar is included among the top collaborators of Laura Revel 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 Laura Revel. Laura Revel 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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