Tom Ferrante

2.8k citations
7 papers · 2.0k indexed · 2 hit papers · h-index 6

Tom Ferrante

7 papers receiving 2.0k citations

Hit Papers

Rapid, Low-Cost Detection of Zika Virus Using Programmabl...1.1k20142026201820222505007501000

Peers

Tom Ferrante
Comparison fields: 5 of 120
  • Business and International Management 62
  • Molecular Biology 1.7k
  • Biomedical Engineering 647
  • Infectious Diseases 258
  • Biotechnology 104
Replace Melissa K. Takahashi with:
Melissa K. Takahashi United States
Royce A. Wilkinson United States
Mitchell R. O’Connell United States
Muhammad Tehseen Saudi Arabia
Liben Chen United States
Nicolaas M. Angenent-Mari United States
Zhiwei Huang China
Huahua Yue China
Joshua C. Cofsky United States
Tom Ferrante relative to Melissa K. Takahashi United States Melissa K. Takahashi's profile →
Citations per field
00.5×1.5×
Melissa K. Takahashi · 1×
Citations per year

Countries citing papers authored by Tom Ferrante

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Tom Ferrante Line = papers co-authored together Tom Ferrante links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202022
2 201896
3 2016270
4
Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Componentsbreakdown →
20161066
5
Paper-Based Synthetic Gene Networksbreakdown →
2014521
6 20131
7 201252

About Tom Ferrante

Tom Ferrante is a scholar working on Endocrine and Autonomic Systems, Nephrology, Biochemistry, Biotechnology and Molecular Biology, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Pancreatic function and diabetes (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), vaccines and immunoinformatics approaches (1 paper), Biomedical and Engineering Education (1 paper), Gene Regulatory Network Analysis (1 paper), Mosquito-borne diseases and control (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Business and International Management (62 citations), Molecular Biology (1.7k citations), Biomedical Engineering (647 citations), Infectious Diseases (258 citations) and Biotechnology (104 citations). Tom Ferrante has collaborated with scholars based in United States and Canada. 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, Lee Gehrke and Duo Ma. Their work appears in journals such as Cell, Science Advances, Journal of the American Society of Nephrology, The FASEB Journal and PLoS ONE.

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.

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