Mary E. Vail

28 total papers · 815 total citations
19 papers, 598 citations indexed

About

Mary E. Vail is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Mary E. Vail has authored 19 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Oncology. Recurrent topics in Mary E. Vail's work include Axon Guidance and Neuronal Signaling (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Liver physiology and pathology (5 papers). Mary E. Vail is often cited by papers focused on Axon Guidance and Neuronal Signaling (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Liver physiology and pathology (5 papers). Mary E. Vail collaborates with scholars based in Australia, United States and Belgium. Mary E. Vail's co-authors include Peter W. Janes, Andrew M. Scott, Robert H. Pierce, Nelson Fausto, Martin Lackmann, K S Evans, Cynthia C.T. Sprenger, Stephen R. Plymate, Lakmali Atapattu and N Fausto and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Cancer Research.

In The Last Decade

Mary E. Vail

19 papers receiving 585 citations

Author Peers

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

Author Last Decade Papers Cites
Mary E. Vail 334 162 161 115 83 19 598
Richard A. Rubin 379 1.1× 31 0.2× 129 0.8× 46 0.4× 50 0.6× 15 634
Nakon Aroonsakool 395 1.2× 52 0.3× 67 0.4× 64 0.6× 56 0.7× 14 646
Anice Moumen 332 1.0× 102 0.6× 78 0.5× 108 0.9× 103 1.2× 15 679
Jae–Hwi Jang 199 0.6× 43 0.3× 147 0.9× 31 0.3× 113 1.4× 24 589
Helen Callanan 227 0.7× 84 0.5× 239 1.5× 27 0.2× 93 1.1× 16 537
Andreas R. Baudy 341 1.0× 42 0.3× 90 0.6× 21 0.2× 38 0.5× 12 524
Peterson Pathrose 398 1.2× 69 0.4× 173 1.1× 68 0.6× 110 1.3× 20 654
James G. Corasanti 210 0.6× 32 0.2× 226 1.4× 51 0.4× 37 0.4× 21 598
Ann‐Kristin Arvidsson 409 1.2× 60 0.4× 117 0.7× 143 1.2× 13 0.2× 12 614
Monica Aasrum 241 0.7× 39 0.2× 260 1.6× 39 0.3× 37 0.4× 25 520

Countries citing papers authored by Mary E. Vail

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Vail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Vail. 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 Mary E. Vail. The network helps show where Mary E. Vail may publish in the future.

Co-authorship network of co-authors of Mary E. Vail

This figure shows the co-authorship network connecting the top 25 collaborators of Mary E. Vail. A scholar is included among the top collaborators of Mary E. Vail 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 Mary E. Vail. Mary E. Vail 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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