Pradeep Ramesh
Impact in
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- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
- RNA Interference and Gene Delivery
Papers in
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- RNA and protein synthesis mechanisms 4
- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 2
- Geomagnetism and Paleomagnetism Studies 2
- Machine Learning in Bioinformatics 1
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Mikhail G. Shapiro (5 shared papers)Max A. English (5 shared papers)Jacqueline A. Valeri (2 shared papers)Diogo M. Camacho (2 shared papers)Katherine M. Collins (2 shared papers)Timothy K. Lu (2 shared papers)Miguel A. Alcantar (1 shared paper)Audrey Lee‐Gosselin (4 shared papers)
- Journals
- Advanced Materials (2 papers)Nature Biomedical Engineering (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesIranBangladesh
In The Last Decade
Pradeep Ramesh
11 papers receiving 318 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 237
- Biophysics 11
- Cell Biology 31
- Biomedical Engineering 75
- Biotechnology 10
Countries citing papers authored by Pradeep Ramesh
This map shows the geographic impact of Pradeep Ramesh'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 Pradeep Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Ramesh more than expected).
Fields of papers citing papers by Pradeep Ramesh
This network shows the impact of papers produced by Pradeep Ramesh. 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 Pradeep Ramesh. The network helps show where Pradeep Ramesh may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Ramesh, 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 | 2020 | 75 | |
| 2 | 2021 | 58 | |
| 3 | 2013 | 48 | |
| 4 | 2021 | 37 | |
| 5 | 2017 | 28 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 19 | |
| 8 | 2018 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2018 | 3 | |
| 11 | 2021 | 1 |
About Pradeep Ramesh
Pradeep Ramesh is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 318 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Geomagnetism and Paleomagnetism Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Electron Spin Resonance Studies (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Magnetic and Electromagnetic Effects (1 paper). The work is most often cited by research in Molecular Biology (237 citations), Biophysics (11 citations), Cell Biology (31 citations), Biomedical Engineering (75 citations) and Biotechnology (10 citations). Pradeep Ramesh has collaborated with scholars based in United States, Iran and Bangladesh. Frequent co-authors include Mikhail G. Shapiro, Max A. English, Jacqueline A. Valeri, Diogo M. Camacho, Katherine M. Collins, Timothy K. Lu, Miguel A. Alcantar, Audrey Lee‐Gosselin, Dimitrios Stamou and Poul Martin Bendix. Their work appears in journals such as Advanced Materials, Nature Biomedical Engineering, Scientific Reports, Nature Communications and Cell Systems.
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.