Ramachandra M. Bhaskara
- Cell Biology top 5%
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 4
- Physiology top 5%
- Epidemiology top 10%
- Autophagy in Disease and Therapy 5
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- Lipid Membrane Structure and Behavior 7
- Protein Structure and Dynamics 6
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 4
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- Enzyme Structure and Function 4
- Co-authors
- Gerhard HummerNarayanaswamy SrinivasanIvan ĐikićAdriana Covarrubias‐PintoPaolo GrumatiJavier García‐PardoMikhail KudryashevMartin Vögele
- Cited by
- Cell BiologyPhysiologyEpidemiology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Ramachandra M. Bhaskara
24 papers receiving 817 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cell Biology 281
- Physiology 55
- Epidemiology 268
- Structural Biology 10
- Molecular Biology 454
Countries citing papers authored by Ramachandra M. Bhaskara
This map shows the geographic impact of Ramachandra M. Bhaskara'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 Ramachandra M. Bhaskara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramachandra M. Bhaskara more than expected).
Fields of papers citing papers by Ramachandra M. Bhaskara
This network shows the impact of papers produced by Ramachandra M. Bhaskara. 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 Ramachandra M. Bhaskara. The network helps show where Ramachandra M. Bhaskara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramachandra M. Bhaskara, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | Ubiquitination regulates ER-phagy and remodelling of endoplasmic reticulumbreakdown → | 2023 | 95 |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 75 | |
| 10 | 2019 | 63 | |
| 11 | 2019 | 71 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 154 | |
| 14 | 2017 | 40 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 10 | |
| 17 | 2012 | 38 | |
| 18 | 2011 | 75 | |
| 19 | 2009 | 13 | |
| 20 | 2009 | 21 |
About Ramachandra M. Bhaskara
Ramachandra M. Bhaskara is a scholar working on Structural Biology, Physiology and Cell Biology, having authored 25 papers that have together received 824 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Protein Structure and Dynamics (6 papers), Cellular transport and secretion (6 papers), Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Cell Biology (281 citations), Physiology (55 citations) and Epidemiology (268 citations). Ramachandra M. Bhaskara has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Gerhard Hummer, Narayanaswamy Srinivasan, Ivan Đikić, Adriana Covarrubias‐Pinto, Paolo Grumati, Javier García‐Pardo, Mikhail Kudryashev, Martin Vögele, Sissy Kalayil and Wenbo Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Nature Communications, Proteins Structure Function and Bioinformatics and EMBO Reports.
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.