Ria Sircar
Impact in
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- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Genomics and Chromatin Dynamics
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Genetic and Kidney Cyst Diseases
Papers in
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- Hedgehog Signaling Pathway Studies 6
- Lipid Membrane Structure and Behavior 3
- Photosynthetic Processes and Mechanisms 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Genetics 6
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Giovanni Luchetti (5 shared papers)Rajat Rohatgi (6 shared papers)Christian Siebold (4 shared papers)Sigrid Nachtergaele (3 shared papers)Eamon F.X. Byrne (3 shared papers)Douglas F. Covey (3 shared papers)Andreas Sagner (2 shared papers)Jennifer H. Kong (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)eLife (2 papers)Journal of Biological Chemistry (1 paper)Science Advances (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Ria Sircar
12 papers receiving 753 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 641
- Genetics 248
- Structural Biology 9
- Cellular and Molecular Neuroscience 97
- Endocrinology 23
Countries citing papers authored by Ria Sircar
This map shows the geographic impact of Ria Sircar'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 Ria Sircar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ria Sircar more than expected).
Fields of papers citing papers by Ria Sircar
This network shows the impact of papers produced by Ria Sircar. 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 Ria Sircar. The network helps show where Ria Sircar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ria Sircar, 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 | 2016 | 268 | |
| 2 | 2016 | 191 | |
| 3 | 2017 | 52 | |
| 4 | 2018 | 49 | |
| 5 | 2021 | 37 | |
| 6 | 2012 | 36 | |
| 7 | 2014 | 35 | |
| 8 | 2013 | 33 | |
| 9 | 2022 | 31 | |
| 10 | 2012 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2017 | 2 |
About Ria Sircar
Ria Sircar is a scholar working on Molecular Biology, Genetics, Atomic and Molecular Physics, and Optics, Cell Biology and Biophysics, having authored 12 papers that have together received 760 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (6 papers), Lipid Membrane Structure and Behavior (3 papers), Bacterial Genetics and Biotechnology (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Electron Spin Resonance Studies (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Genomics and Chromatin Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (641 citations), Genetics (248 citations), Structural Biology (9 citations), Cellular and Molecular Neuroscience (97 citations) and Endocrinology (23 citations). Ria Sircar has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Giovanni Luchetti, Rajat Rohatgi, Christian Siebold, Sigrid Nachtergaele, Eamon F.X. Byrne, Douglas F. Covey, Andreas Sagner, Jennifer H. Kong, Brian R. Crane and Simon Newstead. Their work appears in journals such as Journal of Molecular Biology, eLife, Journal of Biological Chemistry, Science Advances and Nature.
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.