Ravi Manjithaya
- Epidemiology top 2%
- Molecular Biology top 10%
- Cell Biology top 5%
- Physiology top 10%
- Pharmacology top 5%
- Co-authors
- Suresh SubramaniJean‐Claude FarréChristophe AnjardWilliam F. LoomisSomya VatsTaras Y. NazarkoShuo DengCelestial T. Yap
- Topics
- Autophagy in Disease and Therapy (43 papers)Endoplasmic Reticulum Stress and Disease (19 papers)Parkinson's Disease Mechanisms and Treatments (12 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Ravi Manjithaya
59 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Epidemiology 1.2k
- Molecular Biology 1.2k
- Cell Biology 442
- Physiology 307
- Pharmacology 184
Countries citing papers authored by Ravi Manjithaya
This map shows the geographic impact of Ravi Manjithaya'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 Ravi Manjithaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Manjithaya more than expected).
Fields of papers citing papers by Ravi Manjithaya
This network shows the impact of papers produced by Ravi Manjithaya. 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 Ravi Manjithaya. The network helps show where Ravi Manjithaya may publish in the future.
Co-authorship network of co-authors of Ravi Manjithaya
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Manjithaya. A scholar is included among the top collaborators of Ravi Manjithaya 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 Ravi Manjithaya. Ravi Manjithaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 160 | |
| 12 | 39 | |
| 13 | 20 | |
| 14 | 18 | |
| 15 | Dual role of autophagy in hallmarks of cancerbreakdown → | 444 |
| 16 | 86 | |
| 17 | 19 | |
| 18 | 54 | |
| 19 | 28 | |
| 20 | 38 |
About Ravi Manjithaya
Ravi Manjithaya is a scholar working on Cell Biology, Epidemiology and Parasitology, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (43 papers), Endoplasmic Reticulum Stress and Disease (19 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). The work is most often cited by research in Physiology (174 citations), Epidemiology (1.2k citations) and Cell Biology (442 citations). Ravi Manjithaya has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Suresh Subramani, Jean‐Claude Farré, Christophe Anjard, William F. Loomis, Somya Vats, Taras Y. Nazarko, Shuo Deng, Celestial T. Yap, Gautam Sethi and Boon Cher Goh. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.