Eric de Silva
Impact in
- Virology top 10%
- HIV Research and Treatment
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
Papers in
-
- Bioinformatics and Genomic Networks 5
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- Genetics 5
- Genetic Associations and Epidemiology 3
- Evolution and Genetic Dynamics 2
- Co-authors
- Michael P. H. Stumpf (7 shared papers)Thomas Thorne (2 shared papers)Carsten Wiuf (2 shared papers)Michael Lappé (1 shared paper)R. J. C. Stewart (1 shared paper)Neil M. Ferguson (2 shared papers)Christophe Fraser (2 shared papers)Ian Stansfield (3 shared papers)
- Journals
- Brain Communications (2 papers)Journal of The Royal Society Interface (2 papers)RNA (2 papers)BMC Biology (1 paper)Human Genomics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Eric de Silva
16 papers receiving 982 citations
Eric de Silva's Hit Papers
Peers
Comparison fields: 5 of 112
- Virology 50
- Molecular Biology 651
- Computational Theory and Mathematics 137
- Modeling and Simulation 37
- Statistical and Nonlinear Physics 79
Countries citing papers authored by Eric de Silva
This map shows the geographic impact of Eric de Silva'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 Eric de Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric de Silva more than expected).
Fields of papers citing papers by Eric de Silva
This network shows the impact of papers produced by Eric de Silva. 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 Eric de Silva. The network helps show where Eric de Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric de Silva, 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 | Estimating the size of the human interactome Hit paper breakdown → | 2008 | 565 |
| 2 | 2005 | 90 | |
| 3 | 2004 | 71 | |
| 4 | 2011 | 54 | |
| 5 | 2006 | 53 | |
| 6 | 2019 | 35 | |
| 7 | 2002 | 35 | |
| 8 | 2012 | 34 | |
| 9 | 2010 | 24 | |
| 10 | 2012 | 9 | |
| 11 | 2010 | 9 | |
| 12 | 2004 | 9 | |
| 13 | 2006 | 8 | |
| 14 | 2005 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 1 |
About Eric de Silva
Eric de Silva is a scholar working on Molecular Biology, Genetics, Epidemiology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), RNA and protein synthesis mechanisms (4 papers), Genetic Associations and Epidemiology (3 papers), RNA Research and Splicing (3 papers), COVID-19 epidemiological studies (2 papers), Dementia and Cognitive Impairment Research (2 papers), Evolution and Genetic Dynamics (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Virology (50 citations), Molecular Biology (651 citations), Computational Theory and Mathematics (137 citations), Modeling and Simulation (37 citations) and Statistical and Nonlinear Physics (79 citations). Eric de Silva has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael P. H. Stumpf, Thomas Thorne, Carsten Wiuf, Michael Lappé, R. J. C. Stewart, Neil M. Ferguson, Christophe Fraser, Ian Stansfield, Russell Betney and Piers J. Ingram. Their work appears in journals such as Brain Communications, Journal of The Royal Society Interface, RNA, BMC Biology and Human Genomics.
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.