Tom Ferrante
Impact in
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
- Gene Regulatory Network Analysis
Papers in
-
- CRISPR and Genetic Engineering 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Glycosylation and Glycoproteins Research 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- James J. Collins (4 shared papers)Keith Pardee (4 shared papers)Alexander A. Green (2 shared papers)Nina M. Donghia (3 shared papers)Jeong Wook Lee (2 shared papers)Melissa K. Takahashi (2 shared papers)D. Ewen Cameron (1 shared paper)Peng Yin (1 shared paper)
- Journals
- Cell (3 papers)The FASEB Journal (1 paper)Lab on a Chip (1 paper)Nature Biomedical Engineering (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Tom Ferrante
9 papers receiving 2.3k citations
Tom Ferrante's Hit Papers
Peers
Comparison fields: 5 of 124
- Business and International Management 66
- Molecular Biology 1.8k
- Biomedical Engineering 750
- Infectious Diseases 288
- Biotechnology 105
Countries citing papers authored by Tom Ferrante
This map shows the geographic impact of Tom Ferrante'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 Tom Ferrante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ferrante more than expected).
Fields of papers citing papers by Tom Ferrante
This network shows the impact of papers produced by Tom Ferrante. 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 Tom Ferrante. The network helps show where Tom Ferrante may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Ferrante, 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 | Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components Hit paper breakdown → | 2016 | 1199 |
| 2 | Paper-Based Synthetic Gene Networks Hit paper breakdown → | 2014 | 585 |
| 3 | 2016 | 300 | |
| 4 | 2018 | 107 | |
| 5 | 2022 | 70 | |
| 6 | 2012 | 52 | |
| 7 | 2020 | 26 | |
| 8 | 2024 | 2 | |
| 9 | 2013 | 1 |
About Tom Ferrante
Tom Ferrante is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems, Nephrology and Biochemistry, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Pancreatic function and diabetes (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mosquito-borne diseases and control (2 papers), Biosensors and Analytical Detection (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Business and International Management (66 citations), Molecular Biology (1.8k citations), Biomedical Engineering (750 citations), Infectious Diseases (288 citations) and Biotechnology (105 citations). Tom Ferrante has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include James J. Collins, Keith Pardee, Alexander A. Green, Nina M. Donghia, Jeong Wook Lee, Melissa K. Takahashi, D. Ewen Cameron, Peng Yin, Irene Bosch and David H. O’Connor. Their work appears in journals such as Cell, The FASEB Journal, Lab on a Chip, Nature Biomedical Engineering and Science Advances.
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.