Anita E. Murthy

10 total papers · 890 total citations
9 papers, 738 citations indexed

About

Anita E. Murthy is a scholar working on Neurology, Cell Biology and Molecular Biology. According to data from OpenAlex, Anita E. Murthy has authored 9 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 4 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Anita E. Murthy's work include Neurofibromatosis and Schwannoma Cases (7 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Neuroblastoma Research and Treatments (3 papers). Anita E. Murthy is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (7 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Neuroblastoma Research and Treatments (3 papers). Anita E. Murthy collaborates with scholars based in United States and United Kingdom. Anita E. Murthy's co-authors include James F. Gusella, André Bernards, Gregory E. Hannigan, Vijaya Ramesh, Matthew F. Kalady, Lawrence Weissbach, Jeffrey Settleman, Frank Solomon, Denise Pinney and Charo Gonzalez-Agosti and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Oncogene.

In The Last Decade

Anita E. Murthy

9 papers receiving 721 citations

Author Peers

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

Author Last Decade Papers Cites
Anita E. Murthy 413 295 243 86 79 9 738
Denise Pinney 275 0.7× 354 1.2× 209 0.9× 119 1.4× 124 1.6× 9 661
Kimberly A. Meyers 424 1.0× 233 0.8× 215 0.9× 55 0.6× 118 1.5× 8 810
Mei Chen 464 1.1× 227 0.8× 164 0.7× 70 0.8× 54 0.7× 12 806
Lauren M. Goddard 391 0.9× 201 0.7× 163 0.7× 51 0.6× 34 0.4× 9 861
Luca Bravi 320 0.8× 404 1.4× 107 0.4× 50 0.6× 19 0.2× 9 839
Tamara Utermark 404 1.0× 160 0.5× 98 0.4× 80 0.9× 54 0.7× 14 626
Hiroshi Tokuo 381 0.9× 128 0.4× 354 1.5× 27 0.3× 62 0.8× 16 674
Carlos Cardon‐Cardo 263 0.6× 153 0.5× 71 0.3× 114 1.3× 102 1.3× 9 755
Fei‐Yu Han 262 0.6× 361 1.2× 73 0.3× 241 2.8× 40 0.5× 11 652
Victoria A. Robb 519 1.3× 78 0.3× 129 0.5× 56 0.7× 39 0.5× 14 873

Countries citing papers authored by Anita E. Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Anita E. Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita E. Murthy

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