Kausalya Murthy
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
Papers in
-
- Microtubule and mitosis dynamics 6
- Cellular Mechanics and Interactions 3
- Cellular transport and secretion 2
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Patricia Wadsworth (4 shared papers)Carey J. Fagerstrom (1 shared paper)U. Serdar Tulu (1 shared paper)Sandhya Padmanabhan Koushika (4 shared papers)Gautam I. Menon (2 shared papers)Ethan O. Perlstein (1 shared paper)Graeme J. Preston (1 shared paper)Michael L. Nonet (1 shared paper)
- Journals
- Journal of Cell Science (3 papers)Current Biology (2 papers)Traffic (2 papers)Genetics (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Kausalya Murthy
9 papers receiving 472 citations
Peers
Comparison fields: 5 of 62
- Aging 50
- Cell Biology 355
- Biophysics 45
- Molecular Biology 255
- Cardiology and Cardiovascular Medicine 39
Countries citing papers authored by Kausalya Murthy
This map shows the geographic impact of Kausalya 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 Kausalya Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kausalya Murthy more than expected).
Fields of papers citing papers by Kausalya Murthy
This network shows the impact of papers produced by Kausalya 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 Kausalya Murthy. The network helps show where Kausalya Murthy may publish in the future.
Co-authors
The 15 scholars most cited alongside Kausalya 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 | 2005 | 232 | |
| 2 | 2005 | 73 | |
| 3 | 2008 | 71 | |
| 4 | 2019 | 50 | |
| 5 | 2017 | 27 | |
| 6 | 2005 | 11 | |
| 7 | 2010 | 10 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 2 |
About Kausalya Murthy
Kausalya Murthy is a scholar working on Cell Biology, Aging, Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 9 papers that have together received 479 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Cellular Mechanics and Interactions (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Alzheimer's disease research and treatments (2 papers), Cellular transport and secretion (2 papers), Photoreceptor and optogenetics research (2 papers), Mitochondrial Function and Pathology (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Aging (50 citations), Cell Biology (355 citations), Biophysics (45 citations), Molecular Biology (255 citations) and Cardiology and Cardiovascular Medicine (39 citations). Kausalya Murthy has collaborated with scholars based in United States and India. Frequent co-authors include Patricia Wadsworth, Carey J. Fagerstrom, U. Serdar Tulu, Sandhya Padmanabhan Koushika, Gautam I. Menon, Ethan O. Perlstein, Graeme J. Preston, Michael L. Nonet, Jessica P. Lao and Vinod Kumar. Their work appears in journals such as Journal of Cell Science, Current Biology, Traffic, Genetics and Disease Models & Mechanisms.
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.