Jeff Hasty
Impact in
- Biophysics top 0.2%
- Molecular Biology top 0.5%
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
Papers in
- Aging 8
- Biophysics 21
- Cell Image Analysis Techniques 14
- Co-authors
- Lev S. TsimringJames J. CollinsTal DaninoDavid R. McMillenMatthew R. BennettDmitri VolfsonOctavio Mondragón-PalominoWilliam Mather
- Journals
- ACS Synthetic Biology (11 papers)Proceedings of the National Academy of Sciences (11 papers)Nature (10 papers)Science (6 papers)Physical Review Letters (6 papers)
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Jeff Hasty
125 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Biophysics 823
- Molecular Biology 8.8k
- Aging 203
- Biotechnology 844
- Genetics 2.3k
Countries citing papers authored by Jeff Hasty
This map shows the geographic impact of Jeff Hasty'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 Jeff Hasty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Hasty more than expected).
Fields of papers citing papers by Jeff Hasty
This network shows the impact of papers produced by Jeff Hasty. 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 Jeff Hasty. The network helps show where Jeff Hasty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Hasty, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 39 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 3 | |
| 6 | The microbiome and human cancer Hit paper breakdown → | 2021 | 834 |
| 7 | 2020 | 77 | |
| 8 | 2019 | 116 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 58 | |
| 11 | 2014 | 94 | |
| 12 | 2011 | 100 | |
| 13 | 2010 | 43 | |
| 14 | 2010 | 55 | |
| 15 | 2009 | 50 | |
| 16 | 2009 | 195 | |
| 17 | 2008 | 28 | |
| 18 | 2004 | 72 | |
| 19 | 2002 | 154 | |
| 20 | 2001 | 418 |
About Jeff Hasty
Jeff Hasty is a scholar working on Aging, Biophysics, Biotechnology, Molecular Biology and Genetics, having authored 130 papers that have together received 11.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (76 papers), CRISPR and Genetic Engineering (18 papers), Single-cell and spatial transcriptomics (14 papers), Cell Image Analysis Techniques (14 papers), Cancer Research and Treatments (14 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Bacterial Genetics and Biotechnology (11 papers) and Evolution and Genetic Dynamics (11 papers). The work is most often cited by research in Biophysics (823 citations), Molecular Biology (8.8k citations), Aging (203 citations), Biotechnology (844 citations) and Genetics (2.3k citations). Jeff Hasty has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Lev S. Tsimring, James J. Collins, Tal Danino, David R. McMillen, Matthew R. Bennett, Dmitri Volfson, Octavio Mondragón-Palomino, William Mather, Farren J. Isaacs and Scott Cookson. Their work appears in journals such as ACS Synthetic Biology, Proceedings of the National Academy of Sciences, Nature, Science and Physical Review Letters.
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.