Daniel‐Adriano Silva
Impact in
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- DNA and Nucleic Acid Chemistry
Papers in
-
- Protein Structure and Dynamics 16
- RNA and protein synthesis mechanisms 9
- Photosynthetic Processes and Mechanisms 4
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- Spectroscopy and Quantum Chemical Studies 7
- Co-authors
- Xuhui Huang (14 shared papers)Lin‐Tai Da (4 shared papers)Gregory R. Bowman (3 shared papers)Alejandro Sosa‐Peinado (4 shared papers)Luming Meng (3 shared papers)Lu Zhang (4 shared papers)Sijie Chen (1 shared paper)Ben Zhong Tang (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Science (3 papers)Cancer Research (2 papers)FEBS Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Daniel‐Adriano Silva
32 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Spectroscopy 337
- Molecular Biology 1.3k
- Materials Chemistry 494
- Biomaterials 99
- Computational Theory and Mathematics 116
Countries citing papers authored by Daniel‐Adriano Silva
This map shows the geographic impact of Daniel‐Adriano 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 Daniel‐Adriano Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel‐Adriano Silva more than expected).
Fields of papers citing papers by Daniel‐Adriano Silva
This network shows the impact of papers produced by Daniel‐Adriano 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 Daniel‐Adriano Silva. The network helps show where Daniel‐Adriano Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel‐Adriano 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 358 | |
| 2 | 2011 | 194 | |
| 3 | 2017 | 166 | |
| 4 | 2014 | 125 | |
| 5 | 2017 | 99 | |
| 6 | 2016 | 79 | |
| 7 | 2014 | 67 | |
| 8 | 2016 | 66 | |
| 9 | 2011 | 65 | |
| 10 | 2012 | 59 | |
| 11 | 2013 | 56 | |
| 12 | 2022 | 53 | |
| 13 | 2017 | 52 | |
| 14 | 2011 | 48 | |
| 15 | 2014 | 48 | |
| 16 | 2016 | 38 | |
| 17 | 2018 | 37 | |
| 18 | 2014 | 36 | |
| 19 | 2013 | 30 | |
| 20 | 2020 | 22 |
About Daniel‐Adriano Silva
Daniel‐Adriano Silva is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Spectroscopy, Oncology and Immunology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), RNA and protein synthesis mechanisms (9 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Enzyme Structure and Function (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Spectroscopy (337 citations), Molecular Biology (1.3k citations), Materials Chemistry (494 citations), Biomaterials (99 citations) and Computational Theory and Mathematics (116 citations). Daniel‐Adriano Silva has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Xuhui Huang, Lin‐Tai Da, Gregory R. Bowman, Alejandro Sosa‐Peinado, Luming Meng, Lu Zhang, Sijie Chen, Ben Zhong Tang, Jacky W. Y. Lam and Chris Wai Tung Leung. Their work appears in journals such as PLoS Computational Biology, Science, Cancer Research, FEBS Journal and Proceedings of the National Academy of Sciences.
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.