Mavis R. Swerdel

43 total papers · 2.8k total citations
37 papers, 1.7k citations indexed

About

Mavis R. Swerdel is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mavis R. Swerdel has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mavis R. Swerdel's work include MicroRNA in disease regulation (7 papers), Trace Elements in Health (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). Mavis R. Swerdel is often cited by papers focused on MicroRNA in disease regulation (7 papers), Trace Elements in Health (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). Mavis R. Swerdel collaborates with scholars based in United States, Germany and Sweden. Mavis R. Swerdel's co-authors include Ronald P. Hart, Loyal A. Goff, Robert J. Cousins, Stephen K. Durham, Sérgio A. Lira, J R Megill, Anne Lewin, D S Barton, Rodrigo Bravo and María E. Fuentes and has published in prestigious journals such as The Journal of Cell Biology, Nature Neuroscience and The Journal of Immunology.

In The Last Decade

Mavis R. Swerdel

37 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Mavis R. Swerdel 812 451 249 230 177 37 1.7k
Sara Violante 1.4k 1.7× 410 0.9× 311 1.2× 245 1.1× 132 0.7× 29 2.2k
Ulrich Deschl 588 0.7× 298 0.7× 368 1.5× 160 0.7× 84 0.5× 54 2.0k
Changsheng Xing 1.2k 1.5× 275 0.6× 639 2.6× 259 1.1× 236 1.3× 38 2.2k
Nataša Kopitar‐Jerala 1.1k 1.3× 499 1.1× 419 1.7× 267 1.2× 77 0.4× 54 2.3k
Jui Pandhare 764 0.9× 366 0.8× 169 0.7× 151 0.7× 192 1.1× 47 1.4k
Pelagia Foka 946 1.2× 252 0.6× 337 1.4× 249 1.1× 60 0.3× 35 1.9k
Csaba Vízler 668 0.8× 174 0.4× 435 1.7× 223 1.0× 112 0.6× 69 1.6k
Patricia Mathieu 673 0.8× 183 0.4× 162 0.7× 112 0.5× 139 0.8× 51 1.6k
Joan Wicks 939 1.2× 169 0.4× 380 1.5× 257 1.1× 81 0.5× 36 2.3k
Vasantha L. Kolachala 500 0.6× 144 0.3× 370 1.5× 161 0.7× 89 0.5× 43 1.7k

Countries citing papers authored by Mavis R. Swerdel

Since Specialization
Citations

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

Fields of papers citing papers by Mavis R. Swerdel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mavis R. Swerdel. 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 Mavis R. Swerdel. The network helps show where Mavis R. Swerdel may publish in the future.

Co-authorship network of co-authors of Mavis R. Swerdel

This figure shows the co-authorship network connecting the top 25 collaborators of Mavis R. Swerdel. A scholar is included among the top collaborators of Mavis R. Swerdel 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 Mavis R. Swerdel. Mavis R. Swerdel 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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