Sujna Raval-Fernandes
- Structural Biology top 10%
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- DNA Repair Mechanisms 4
- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 2
- Metabolomics and Mass Spectrometry Studies 1
- Prion Diseases and Protein Misfolding 1
- Ecology top 10%
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- Drug Transport and Resistance Mechanisms 2
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- Cell Adhesion Molecules Research 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Leonard H. RomeValerie A. KickhoeferPhoebe L. StewartAndrew G. StephenMichael J. TorresYeshi MikyasRaymond J. MonizKathleen A. Kelly
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Sujna Raval-Fernandes
14 papers receiving 724 citations
Peers
Comparison fields: 5 of 76
- Structural Biology 20
- Molecular Biology 518
- Biomaterials 70
- Ecology 131
- Developmental Neuroscience 21
Countries citing papers authored by Sujna Raval-Fernandes
This map shows the geographic impact of Sujna Raval-Fernandes'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 Sujna Raval-Fernandes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujna Raval-Fernandes more than expected).
Fields of papers citing papers by Sujna Raval-Fernandes
This network shows the impact of papers produced by Sujna Raval-Fernandes. 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 Sujna Raval-Fernandes. The network helps show where Sujna Raval-Fernandes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sujna Raval-Fernandes, 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 | Core Administration Session Abstracts | 2013 | 1 |
| 2 | 2009 | 88 | |
| 3 | 2008 | 89 | |
| 4 | 2006 | 54 | |
| 5 | 2005 | 105 | |
| 6 | 2005 | 42 | |
| 7 | 2004 | 76 | |
| 8 | 2004 | 8 | |
| 9 | 2001 | 117 | |
| 10 | 2001 | 69 | |
| 11 | 2000 | 57 | |
| 12 | 1999 | 6 | |
| 13 | 1998 | 14 | |
| 14 | 1997 | 5 |
About Sujna Raval-Fernandes
Sujna Raval-Fernandes is a scholar working on Immunology and Allergy, Developmental Neuroscience and Microbiology, having authored 14 papers that have together received 731 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Drug Transport and Resistance Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Cell Adhesion Molecules Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Structural Biology (20 citations), Molecular Biology (518 citations) and Biomaterials (70 citations). Sujna Raval-Fernandes has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Leonard H. Rome, Valerie A. Kickhoefer, Phoebe L. Stewart, Andrew G. Stephen, Michael J. Torres, Yeshi Mikyas, Raymond J. Moniz, Kathleen A. Kelly, Jeffrey I. Zink and Erik Johansson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and ACS Nano.
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.