Randolph Lopez
Impact in
- Molecular Biology top 10%
- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- vaccines and immunoinformatics approaches
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- Cellular Automata and Applications
Papers in
-
- Advanced biosensing and bioanalysis techniques 8
- DNA and Biological Computing 8
- vaccines and immunoinformatics approaches 2
- Ecology 4
- Environmental DNA in Biodiversity Studies 4
- Co-authors
- Georg Seelig (8 shared papers)Luís Ceze (8 shared papers)Karin Strauß (8 shared papers)James Bornholt (6 shared papers)Douglas M. Carmean (6 shared papers)Ruofan Wang (1 shared paper)Yuan-Jyue Chen (2 shared papers)Siena Dumas Ang (2 shared papers)
- Journals
- Nature Communications (3 papers)IEEE Micro (2 papers)mAbs (1 paper)Nature Chemistry (1 paper)Scientific Data (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Randolph Lopez
13 papers receiving 749 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 668
- Computational Theory and Mathematics 118
- Mechanical Engineering 154
- Artificial Intelligence 131
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Randolph Lopez
This map shows the geographic impact of Randolph Lopez'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 Randolph Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randolph Lopez more than expected).
Fields of papers citing papers by Randolph Lopez
This network shows the impact of papers produced by Randolph Lopez. 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 Randolph Lopez. The network helps show where Randolph Lopez may publish in the future.
Co-authors
The 25 scholars most cited alongside Randolph Lopez, 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 | 189 | |
| 2 | 2018 | 128 | |
| 3 | 2019 | 101 | |
| 4 | 2020 | 87 | |
| 5 | 2023 | 57 | |
| 6 | 2017 | 51 | |
| 7 | 2016 | 41 | |
| 8 | 2016 | 41 | |
| 9 | 2016 | 33 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 10 | |
| 12 | 2017 | 6 | |
| 13 | 2025 | 2 | |
| 14 | Data Management in the LoanSTAR Program | 1992 | 1 |
| 15 | 2026 | 0 |
About Randolph Lopez
Randolph Lopez is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Oncology, having authored 15 papers that have together received 769 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), DNA and Biological Computing (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Environmental DNA in Biodiversity Studies (4 papers), CAR-T cell therapy research (2 papers), Algorithms and Data Compression (2 papers), vaccines and immunoinformatics approaches (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Biology (668 citations), Computational Theory and Mathematics (118 citations), Mechanical Engineering (154 citations), Artificial Intelligence (131 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Randolph Lopez has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Georg Seelig, Luís Ceze, Karin Strauß, James Bornholt, Douglas M. Carmean, Ruofan Wang, Yuan-Jyue Chen, Siena Dumas Ang, Xiaomeng Liu and Lee Organick. Their work appears in journals such as Nature Communications, IEEE Micro, mAbs, Nature Chemistry and Scientific Data.
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.