Rushika M. Perera
- Molecular Biology top 2%
- Oncology top 1%
- Cancer Research top 0.5%
- Cell Biology top 0.5%
- Epidemiology top 2%
- Co-authors
- Roberto ZoncuNabeel BardeesyAlec C. KimmelmanPietro De CamilliCristina R. FerroneDerek ToomreMatteo LigorioXiaoxu Wang
- Topics
- Cellular transport and secretion (11 papers)Autophagy in Disease and Therapy (11 papers)Calcium signaling and nucleotide metabolism (8 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Rushika M. Perera
38 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.8k
- Oncology 1.7k
- Cancer Research 1.7k
- Cell Biology 1.5k
- Epidemiology 1.4k
Countries citing papers authored by Rushika M. Perera
This map shows the geographic impact of Rushika M. Perera'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 Rushika M. Perera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rushika M. Perera more than expected).
Fields of papers citing papers by Rushika M. Perera
This network shows the impact of papers produced by Rushika M. Perera. 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 Rushika M. Perera. The network helps show where Rushika M. Perera may publish in the future.
Co-authorship network of co-authors of Rushika M. Perera
This figure shows the co-authorship network connecting the top 25 collaborators of Rushika M. Perera. A scholar is included among the top collaborators of Rushika M. Perera 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 Rushika M. Perera. Rushika M. Perera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Lysosomes as coordinators of cellular catabolism, metabolic signalling and organ physiologybreakdown → | 113 |
| 3 | 62 | |
| 4 | 50 | |
| 5 | 1 | |
| 6 | 49 | |
| 7 | 132 | |
| 8 | Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-Ibreakdown → | 844 |
| 9 | 51 | |
| 10 | Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complexbreakdown → | 394 |
| 11 | The Lysosome as a Regulatory Hubbreakdown → | 446 |
| 12 | Transcriptional control of autophagy–lysosome function drives pancreatic cancer metabolismbreakdown → | 615 |
| 13 | 90 | |
| 14 | Glutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathwaybreakdown → | 1491 |
| 15 | 91 | |
| 16 | 281 | |
| 17 | 64 | |
| 18 | 129 | |
| 19 | 84 | |
| 20 | 73 |
About Rushika M. Perera
Rushika M. Perera is a scholar working on Physiology, Cell Biology and Oncology, having authored 38 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Autophagy in Disease and Therapy (11 papers) and Calcium signaling and nucleotide metabolism (8 papers). The work is most often cited by research in Physiology (685 citations), Cancer Research (1.7k citations) and Cell Biology (1.5k citations). Rushika M. Perera has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Roberto Zoncu, Nabeel Bardeesy, Alec C. Kimmelman, Pietro De Camilli, Cristina R. Ferrone, Derek Toomre, Matteo Ligorio, Xiaoxu Wang, Lewis C. Cantley and Costas A. Lyssiotis. Their work appears in journals such as Nature, Science and Cell.
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.