Anita E. Murthy
Impact in
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
-
- Neurofibromatosis and Schwannoma Cases 7
- Neuroblastoma Research and Treatments 3
- Vascular Malformations Diagnosis and Treatment 1
-
- Hippo pathway signaling and YAP/TAZ 3
- Microtubule and mitosis dynamics 1
- Co-authors
- James F. Gusella (7 shared papers)André Bernards (6 shared papers)Gregory E. Hannigan (3 shared papers)Vijaya Ramesh (2 shared papers)Lawrence Weissbach (1 shared paper)Jeffrey Settleman (1 shared paper)Matthew F. Kalady (1 shared paper)Charo Gonzalez-Agosti (1 shared paper)
- Journals
- DNA and Cell Biology (2 papers)Journal of Biological Chemistry (2 papers)Oncogene (1 paper)Nature Genetics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Anita E. Murthy
9 papers receiving 721 citations
Peers
Comparison fields: 5 of 68
- Neurology 294
- Cell Biology 243
- Immunology and Allergy 37
- Molecular Biology 413
- Aging 8
Countries citing papers authored by Anita E. Murthy
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
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-authors
The 25 scholars most cited alongside Anita E. Murthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 212 | |
| 2 | 1994 | 202 | |
| 3 | 1993 | 128 | |
| 4 | 2004 | 54 | |
| 5 | 1993 | 50 | |
| 6 | 1996 | 34 | |
| 7 | 1992 | 32 | |
| 8 | 1998 | 14 | |
| 9 | 1996 | 11 |
About Anita E. Murthy
Anita E. Murthy is a scholar working on Neurology, Cell Biology, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 9 papers that have together received 737 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (7 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Neuroblastoma Research and Treatments (3 papers), Genomics and Chromatin Dynamics (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Microtubule and mitosis dynamics (1 paper), Meningioma and schwannoma management (1 paper) and Vascular Malformations Diagnosis and Treatment (1 paper). The work is most often cited by research in Neurology (294 citations), Cell Biology (243 citations), Immunology and Allergy (37 citations), Molecular Biology (413 citations) and Aging (8 citations). Anita E. Murthy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James F. Gusella, André Bernards, Gregory E. Hannigan, Vijaya Ramesh, Lawrence Weissbach, Jeffrey Settleman, Matthew F. Kalady, Charo Gonzalez-Agosti, Denise Pinney and Frank Solomon. Their work appears in journals such as DNA and Cell Biology, Journal of Biological Chemistry, Oncogene, Nature Genetics and Human Molecular Genetics.
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.