Maureen Laverty

25 total papers · 1.5k total citations
19 papers, 1.1k citations indexed

About

Maureen Laverty is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Maureen Laverty has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Immunology. Recurrent topics in Maureen Laverty's work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Thermoregulation and physiological responses (2 papers). Maureen Laverty is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Thermoregulation and physiological responses (2 papers). Maureen Laverty collaborates with scholars based in United States, United Kingdom and France. Maureen Laverty's co-authors include Eric L. Gustafson, Galya Vassileva, Marvin Bayne, Frederick J. Monsma, Suke Wang, Joseph A. Hedrick, Alberto Rojas-Triana, Loretta A. Bober, Maureen Maguire and Feng Zhu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Maureen Laverty

19 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Maureen Laverty 585 276 214 192 157 19 1.1k
Kenneth G. Mandel 730 1.2× 330 1.2× 237 1.1× 140 0.7× 70 0.4× 19 1.5k
S. M. Doel 591 1.0× 213 0.8× 149 0.7× 99 0.5× 83 0.5× 15 1.0k
Karen L. Valentino 553 0.9× 247 0.9× 226 1.1× 99 0.5× 89 0.6× 22 1.1k
Sanela Smajilovic 642 1.1× 161 0.6× 103 0.5× 276 1.4× 141 0.9× 20 1.2k
Philippe Delerive 543 0.9× 281 1.0× 68 0.3× 223 1.2× 169 1.1× 29 1.1k
B Hunyady 414 0.7× 192 0.7× 203 0.9× 132 0.7× 59 0.4× 34 961
Garrett Heinrich 509 0.9× 156 0.6× 86 0.4× 177 0.9× 84 0.5× 29 1.2k
Celia P. Briscoe 844 1.4× 487 1.8× 180 0.8× 218 1.1× 65 0.4× 28 1.4k
B. Ryberg 508 0.9× 649 2.4× 245 1.1× 80 0.4× 89 0.6× 28 1.3k
Ta‐Min Chang 336 0.6× 374 1.4× 499 2.3× 124 0.6× 91 0.6× 47 1.2k

Countries citing papers authored by Maureen Laverty

Since Specialization
Citations

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

Fields of papers citing papers by Maureen Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maureen Laverty

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