Ramila S. Patel‐King
- Immunology and Allergy top 0.5%
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 32
- Cellular transport and secretion 5
- Molecular Biology top 5%
- Protist diversity and phylogeny 19
- Photosynthetic Processes and Mechanisms 11
- Planarian Biology and Electrostimulation 4
- Genetics top 2%
- Genetic and Kidney Cyst Diseases 15
- Cancer Research top 10%
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- Micro and Nano Robotics 7
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- Photoreceptor and optogenetics research 3
- Co-authors
- Stephen M. KingRichard O. HynesElizabeth GeorgeHelen RayburnElisabeth Georges‐LabouesseSharon E. BenashskiAlistair HarrisonK. Kevin Pfister
- Journals
- Molecular Biology of the Cell (13 papers)Journal of Biological Chemistry (10 papers)The Journal of Cell Biology (4 papers)
- Partner nations
- United StatesJapanDenmark
In The Last Decade
Ramila S. Patel‐King
44 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology and Allergy 634
- Cell Biology 1.7k
- Molecular Biology 2.3k
- Genetics 750
- Cancer Research 253
Countries citing papers authored by Ramila S. Patel‐King
This map shows the geographic impact of Ramila S. Patel‐King'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 Ramila S. Patel‐King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramila S. Patel‐King more than expected).
Fields of papers citing papers by Ramila S. Patel‐King
This network shows the impact of papers produced by Ramila S. Patel‐King. 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 Ramila S. Patel‐King. The network helps show where Ramila S. Patel‐King may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramila S. Patel‐King, 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 | 2024 | 6 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 13 | |
| 4 | 2019 | 21 | |
| 5 | 2017 | 23 | |
| 6 | 2016 | 10 | |
| 7 | 2015 | 34 | |
| 8 | 2012 | 21 | |
| 9 | 2011 | 8 | |
| 10 | 2010 | 72 | |
| 11 | 2009 | 36 | |
| 12 | 2007 | 77 | |
| 13 | 2005 | 30 | |
| 14 | 2004 | 29 | |
| 15 | 2004 | 73 | |
| 16 | 2002 | 40 | |
| 17 | 2002 | 36 | |
| 18 | 1997 | 115 | |
| 19 | 1996 | 174 | |
| 20 | 1996 | 117 |
About Ramila S. Patel‐King
Ramila S. Patel‐King is a scholar working on Cell Biology, Condensed Matter Physics and Molecular Biology, having authored 45 papers that have together received 3.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (32 papers), Protist diversity and phylogeny (19 papers), Genetic and Kidney Cyst Diseases (15 papers), Photosynthetic Processes and Mechanisms (11 papers), Micro and Nano Robotics (7 papers), Cellular transport and secretion (5 papers), Planarian Biology and Electrostimulation (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Immunology and Allergy (634 citations), Cell Biology (1.7k citations) and Molecular Biology (2.3k citations). Ramila S. Patel‐King has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Stephen M. King, Richard O. Hynes, Elizabeth George, Helen Rayburn, Elisabeth Georges‐Labouesse, Sharon E. Benashski, Alistair Harrison, K. Kevin Pfister, James F. Dillman and Panteleimon Rompolas. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, The Journal of Cell Biology, Journal of Cell Science and Development.
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.