Rashmi Ravichandran
- Molecular Biology top 10%
- Ecology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Materials Chemistry
- Infectious Diseases
- Co-authors
- David BakerNeil P. KingJacob B. BaleUna NattermannLauren CarterInna GoreshnikWilliam ShefflerC.H. Arrowsmith
- Topics
- RNA and protein synthesis mechanisms (5 papers)Bacteriophages and microbial interactions (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Rashmi Ravichandran
13 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 735
- Ecology 246
- Radiology, Nuclear Medicine and Imaging 219
- Materials Chemistry 138
- Infectious Diseases 103
Countries citing papers authored by Rashmi Ravichandran
This map shows the geographic impact of Rashmi Ravichandran'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 Rashmi Ravichandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashmi Ravichandran more than expected).
Fields of papers citing papers by Rashmi Ravichandran
This network shows the impact of papers produced by Rashmi Ravichandran. 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 Rashmi Ravichandran. The network helps show where Rashmi Ravichandran may publish in the future.
Co-authorship network of co-authors of Rashmi Ravichandran
This figure shows the co-authorship network connecting the top 25 collaborators of Rashmi Ravichandran. A scholar is included among the top collaborators of Rashmi Ravichandran 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 Rashmi Ravichandran. Rashmi Ravichandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 49 | |
| 6 | 25 | |
| 7 | 40 | |
| 8 | 9 | |
| 9 | 30 | |
| 10 | Global analysis of protein folding using massively parallel design, synthesis, and testingbreakdown → | 305 |
| 11 | Evolution of a designed protein assembly encapsulating its own RNA genomebreakdown → | 151 |
| 12 | 81 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | Design of a hyperstable 60-subunit protein icosahedronbreakdown → | 322 |
About Rashmi Ravichandran
Rashmi Ravichandran is a scholar working on Structural Biology, Biotechnology and Virology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Structural Biology (19 citations), Molecular Biology (735 citations) and Ecology (246 citations). Rashmi Ravichandran has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David Baker, Neil P. King, Jacob B. Bale, Una Nattermann, Lauren Carter, Inna Goreshnik, William Sheffler, C.H. Arrowsmith, Tamuka M. Chidyausiku and Alex Ford. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.