Anthony Kulesa
- Molecular Biology top 10%
- Advanced Biosensing Techniques and Applications 1
- Single-cell and spatial transcriptomics 1
- CRISPR and Genetic Engineering 1
- Biomedical Engineering top 5%
- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Microfluidic and Capillary Electrophoresis Applications 2
- Biophysics top 5%
- Cell Image Analysis Techniques 3
- Structural Biology top 10%
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- Microbial Community Ecology and Physiology 1
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- Insect symbiosis and bacterial influences 1
- Co-authors
- Paul C. BlaineyJared KeheSri Gowtham ThakkuCheri M. AckermanAnthony Ortiz LopezJonathan FriedmanJeff GoreDavid Yang
- Journals
- Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Anthony Kulesa
10 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Business and International Management 32
- Molecular Biology 774
- Biomedical Engineering 479
- Biophysics 61
- Structural Biology 13
Countries citing papers authored by Anthony Kulesa
This map shows the geographic impact of Anthony Kulesa'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 Anthony Kulesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Kulesa more than expected).
Fields of papers citing papers by Anthony Kulesa
This network shows the impact of papers produced by Anthony Kulesa. 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 Anthony Kulesa. The network helps show where Anthony Kulesa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anthony Kulesa, 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 | Positive interactions are common among culturable bacteriabreakdown → | 2021 | 140 |
| 2 | Massively multiplexed nucleic acid detection with Cas13breakdown → | 2020 | 592 |
| 3 | 2019 | 59 | |
| 4 | 2019 | 185 | |
| 5 | 2018 | 102 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 79 | |
| 8 | 2015 | 95 | |
| 9 | 2014 | 4 | |
| 10 | 2012 | 19 |
About Anthony Kulesa
Anthony Kulesa is a scholar working on Biophysics, Biomedical Engineering, Molecular Biology, Insect Science and Cell Biology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Cell Image Analysis Techniques (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Advanced Biosensing Techniques and Applications (1 paper), Microbial Community Ecology and Physiology (1 paper), Single-cell and spatial transcriptomics (1 paper), CRISPR and Genetic Engineering (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Business and International Management (32 citations), Molecular Biology (774 citations), Biomedical Engineering (479 citations), Biophysics (61 citations) and Structural Biology (13 citations). Anthony Kulesa has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Paul C. Blainey, Jared Kehe, Sri Gowtham Thakku, Cheri M. Ackerman, Anthony Ortiz Lopez, Jonathan Friedman, Jeff Gore, David Yang, John Barnes and Vivien G. Dugan. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, SLAS DISCOVERY, Scientific Reports and Nature Methods.
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.