Veronica J. Peschansky

15 total papers · 1.2k total citations
11 papers, 908 citations indexed

About

Veronica J. Peschansky is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Veronica J. Peschansky has authored 11 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Veronica J. Peschansky's work include RNA modifications and cancer (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Cancer-related molecular mechanisms research (5 papers). Veronica J. Peschansky is often cited by papers focused on RNA modifications and cancer (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Cancer-related molecular mechanisms research (5 papers). Veronica J. Peschansky collaborates with scholars based in United States, China and France. Veronica J. Peschansky's co-authors include Claes Wahlestedt, Chiara Pastori, José Silva, Chiara Pastori, Nagi G. Ayad, Jann N. Sarkaria, Ricardo J. Komotar, Amadé Bregy, Claude‐Henry Volmar and Philipp Kapranov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuroscience and Cerebral Cortex.

In The Last Decade

Veronica J. Peschansky

11 papers receiving 899 citations

Author Peers

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

Author Last Decade Papers Cites
Veronica J. Peschansky 661 394 187 93 83 11 908
Jessica Becker 301 0.5× 114 0.3× 239 1.3× 109 1.2× 76 0.9× 24 725
Douglas F. Hacking 327 0.5× 38 0.1× 167 0.9× 131 1.4× 45 0.5× 15 810
R.T. Frank 269 0.4× 54 0.1× 93 0.5× 25 0.3× 171 2.1× 21 874
Isabel Tapia‐Páez 392 0.6× 40 0.1× 454 2.4× 191 2.1× 60 0.7× 28 815
Daniel A. Peiffer 553 0.8× 135 0.3× 466 2.5× 24 0.3× 18 0.2× 19 924
Lynn Ploughman 276 0.4× 28 0.1× 169 0.9× 27 0.3× 110 1.3× 21 983
Changsoo Kang 208 0.3× 75 0.2× 144 0.8× 156 1.7× 84 1.0× 27 742
Keith L. Sternes 279 0.4× 42 0.1× 272 1.5× 37 0.4× 40 0.5× 8 895
Alal Eran 599 0.9× 245 0.6× 119 0.6× 9 0.1× 114 1.4× 23 861
E D Green 509 0.8× 15 0.0× 291 1.6× 95 1.0× 29 0.3× 12 864

Countries citing papers authored by Veronica J. Peschansky

Since Specialization
Citations

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

Fields of papers citing papers by Veronica J. Peschansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica J. Peschansky

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