Anthony Kulesa

1.8k total citations · 2 hit papers
10 papers, 1.3k citations indexed

About

Anthony Kulesa is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Anthony Kulesa has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Biophysics. Recurrent topics in Anthony Kulesa's work include Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Cell Image Analysis Techniques (3 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). Anthony Kulesa is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Cell Image Analysis Techniques (3 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). Anthony Kulesa collaborates with scholars based in United States, Israel and South Korea. Anthony Kulesa's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Anthony Kulesa

10 papers receiving 1.3k citations

Hit Papers

Massively multiplexed nucleic acid detection with Cas13 2020 2026 2022 2024 2020 2021 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anthony Kulesa United States 8 774 479 168 159 96 10 1.3k
Jared Kehe United States 5 684 0.9× 405 0.8× 153 0.9× 147 0.9× 89 0.9× 5 1.0k
Sri Gowtham Thakku United States 5 648 0.8× 350 0.7× 173 1.0× 84 0.5× 70 0.7× 5 885
Tom Ferrante United States 6 1.7k 2.1× 647 1.4× 258 1.5× 170 1.1× 44 0.5× 7 2.0k
Ravi U. Sheth United States 15 1.1k 1.4× 160 0.3× 114 0.7× 234 1.5× 141 1.5× 18 1.4k
D. Ewen Cameron United States 12 1.8k 2.4× 448 0.9× 114 0.7× 367 2.3× 104 1.1× 13 2.5k
Shuqiang Huang China 17 518 0.7× 294 0.6× 49 0.3× 158 1.0× 36 0.4× 28 1.1k
Yunhao Wang China 16 871 1.1× 222 0.5× 63 0.4× 160 1.0× 211 2.2× 41 1.5k
Jingdong Tian United States 16 1.4k 1.8× 282 0.6× 42 0.3× 148 0.9× 62 0.6× 22 1.8k

Countries citing papers authored by Anthony Kulesa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Anthony Kulesa

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Kulesa. A scholar is included among the top collaborators of Anthony Kulesa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anthony Kulesa. Anthony Kulesa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kehe, Jared, Anthony Ortiz Lopez, Anthony Kulesa, et al.. (2021). Positive interactions are common among culturable bacteria. Science Advances. 7(45). eabi7159–eabi7159. 140 indexed citations breakdown →
2.
Ackerman, Cheri M., Cameron Myhrvold, Sri Gowtham Thakku, et al.. (2020). Massively multiplexed nucleic acid detection with Cas13. Nature. 582(7811). 277–282. 592 indexed citations breakdown →
3.
Guo, Syuan-Ming, Rémi Veneziano, Simon Gordonov, et al.. (2019). Multiplexed and high-throughput neuronal fluorescence imaging with diffusible probes. Nature Communications. 10(1). 4377–4377. 59 indexed citations
4.
Kehe, Jared, Anthony Kulesa, Anthony Ortiz Lopez, et al.. (2019). Massively parallel screening of synthetic microbial communities. Proceedings of the National Academy of Sciences. 116(26). 12804–12809. 185 indexed citations
5.
Kulesa, Anthony, et al.. (2018). Combinatorial drug discovery in nanoliter droplets. Proceedings of the National Academy of Sciences. 115(26). 6685–6690. 102 indexed citations
6.
Kim, Joseph J., Neal K. Bennett, Satish E. Viswanath, et al.. (2017). Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells. Scientific Reports. 7(1). 39406–39406. 4 indexed citations
7.
Kim, Soohong, Joachim De Jonghe, Anthony Kulesa, et al.. (2017). High-throughput automated microfluidic sample preparation for accurate microbial genomics. Nature Communications. 8(1). 13919–13919. 79 indexed citations
8.
Kulesa, Anthony, Martin Krzywinski, Paul C. Blainey, & Naomi Altman. (2015). Sampling distributions and the bootstrap. Nature Methods. 12(6). 477–478. 95 indexed citations
9.
Kulesa, Anthony, Henry H. Yu, Tim Maguire, et al.. (2014). Development of a low-volume, highly sensitive microimmunoassay using computational fluid dynamics-driven multiobjective optimization. Microfluidics and Nanofluidics. 18(2). 199–214. 4 indexed citations
10.
Vega, Sebastián L., Er Liu, Anthony Kulesa, et al.. (2012). High-Content Imaging-Based Screening of Microenvironment-Induced Changes to Stem Cells. SLAS DISCOVERY. 17(9). 1151–1162. 19 indexed citations

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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