Megan S. Keiser

27 total papers · 1.2k total citations
23 papers, 860 citations indexed

About

Megan S. Keiser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Megan S. Keiser has authored 23 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Megan S. Keiser's work include Genetic Neurodegenerative Diseases (11 papers), RNA Research and Splicing (9 papers) and CRISPR and Genetic Engineering (8 papers). Megan S. Keiser is often cited by papers focused on Genetic Neurodegenerative Diseases (11 papers), RNA Research and Splicing (9 papers) and CRISPR and Genetic Engineering (8 papers). Megan S. Keiser collaborates with scholars based in United States, France and Austria. Megan S. Keiser's co-authors include Beverly L. Davidson, Alex Mas Monteys, Yong Hong Chen, Ryan L. Boudreau, Jodi L. McBride, Holly Kordasiewicz, Pedro Gonzalez‐Alegre, Alejandro Mas Monteys, James C. Geoghegan and Kim A. Lennox and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Megan S. Keiser

21 papers receiving 853 citations

Author Peers

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

Author Last Decade Papers Cites
Megan S. Keiser 716 402 215 102 54 23 860
Bas Blits 545 0.8× 313 0.8× 174 0.8× 72 0.7× 29 0.5× 22 861
Michael G. Kearse 740 1.0× 191 0.5× 211 1.0× 138 1.4× 100 1.9× 23 943
Ting Zhao 669 0.9× 303 0.8× 103 0.5× 125 1.2× 38 0.7× 26 910
G. Tennekoon 471 0.7× 305 0.8× 95 0.4× 142 1.4× 50 0.9× 31 1000
John Wolff 482 0.7× 411 1.0× 138 0.6× 154 1.5× 80 1.5× 23 845
A. Dautigny 626 0.9× 209 0.5× 136 0.6× 74 0.7× 57 1.1× 31 1.0k
Françoise Piguet 473 0.7× 230 0.6× 203 0.9× 56 0.5× 50 0.9× 28 731
Andrée Robaglia‐Schlupp 398 0.6× 418 1.0× 140 0.7× 138 1.4× 42 0.8× 30 1.0k
My N. Huynh 457 0.6× 297 0.7× 305 1.4× 131 1.3× 44 0.8× 16 945
Todd R. Klesert 863 1.2× 409 1.0× 209 1.0× 75 0.7× 33 0.6× 12 975

Countries citing papers authored by Megan S. Keiser

Since Specialization
Citations

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

Fields of papers citing papers by Megan S. Keiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan S. Keiser. 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 Megan S. Keiser. The network helps show where Megan S. Keiser may publish in the future.

Co-authorship network of co-authors of Megan S. Keiser

This figure shows the co-authorship network connecting the top 25 collaborators of Megan S. Keiser. A scholar is included among the top collaborators of Megan S. Keiser 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 Megan S. Keiser. Megan S. Keiser 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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