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 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
- Surgery 2
- Pancreatic function and diabetes 2
- Co-authors
- Keith Pardee (4 shared papers)James J. Collins (4 shared papers)Alexander A. Green (2 shared papers)Nina M. Donghia (3 shared papers)Jeong Wook Lee (2 shared papers)Peng Yin (1 shared paper)D. Ewen Cameron (1 shared paper)Melissa K. Takahashi (2 shared papers)
- Journals
- Cell (3 papers)Journal of the American Society of Nephrology (1 paper)The FASEB Journal (1 paper)PLoS ONE (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Tom Ferrante
8 papers receiving 2.2k citations
Tom Ferrante's Hit Papers
Peers
Comparison fields: 5 of 123
- Business and International Management 63
- Molecular Biology 1.8k
- Biomedical Engineering 691
- Infectious Diseases 264
- Biotechnology 104
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 | 1153 |
| 2 | Paper-Based Synthetic Gene Networks Hit paper breakdown → | 2014 | 567 |
| 3 | 2016 | 285 | |
| 4 | 2018 | 102 | |
| 5 | 2012 | 52 | |
| 6 | 2020 | 24 | |
| 7 | 2024 | 1 | |
| 8 | 2013 | 1 |
About Tom Ferrante
Tom Ferrante is a scholar working on Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Nephrology, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic function and diabetes (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Gene expression and cancer classification (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Business and International Management (63 citations), Molecular Biology (1.8k citations), Biomedical Engineering (691 citations), Infectious Diseases (264 citations) and Biotechnology (104 citations). Tom Ferrante has collaborated with scholars based in United States and Canada. Frequent co-authors include Keith Pardee, James J. Collins, Alexander A. Green, Nina M. Donghia, Jeong Wook Lee, Peng Yin, D. Ewen Cameron, Melissa K. Takahashi, Guillaume Lambert and Dana Braff. Their work appears in journals such as Cell, Journal of the American Society of Nephrology, The FASEB Journal, PLoS ONE 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.