Chas Leichner
Impact in
Papers in
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- Advanced biosensing and bioanalysis techniques 1
- CRISPR and Genetic Engineering 1
- RNA and protein synthesis mechanisms 1
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- Advanced Neural Network Applications 1
- Co-authors
- Paul A. Clemons (1 shared paper)Luke W. Koblan (1 shared paper)Lena K. Afeyan (1 shared paper)David R. Liu (1 shared paper)Vlado Dančík (1 shared paper)David B. Thompson (1 shared paper)Łukasz Lew (1 shared paper)Shan Li (1 shared paper)
- Journals
- Nature Communications (1 paper)
- Partner nations
- United States
In The Last Decade
Chas Leichner
2 papers receiving 30 citations
Peers
Comparison fields: 5 of 16
- Aging 2
- Business and International Management 1
- Molecular Biology 28
- Genetics 10
- Virology 1
Countries citing papers authored by Chas Leichner
This map shows the geographic impact of Chas Leichner'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 Chas Leichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chas Leichner more than expected).
Fields of papers citing papers by Chas Leichner
This network shows the impact of papers produced by Chas Leichner. 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 Chas Leichner. The network helps show where Chas Leichner may publish in the future.
Co-authors
The 10 scholars most cited alongside Chas Leichner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Chas Leichner
Chas Leichner is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 2 papers that have together received 31 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (1 paper), CRISPR and Genetic Engineering (1 paper), Adversarial Robustness in Machine Learning (1 paper), COVID-19 diagnosis using AI (1 paper), Advanced Neural Network Applications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (2 citations), Business and International Management (1 citation), Molecular Biology (28 citations), Genetics (10 citations) and Virology (1 citation). Chas Leichner has collaborated with scholars based in United States. Frequent co-authors include Paul A. Clemons, Luke W. Koblan, Lena K. Afeyan, David R. Liu, Vlado Dančík, David B. Thompson, Łukasz Lew, Shan Li, Andrew Howard and Sherief Reda. Their work appears in journals such as Nature Communications.
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.