Christian Burks

42 papers and 2.1k indexed citations i.

About

Christian Burks is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Christian Burks has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Artificial Intelligence and 6 papers in Genetics. Recurrent topics in Christian Burks’s work include Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (15 papers) and Algorithms and Data Compression (8 papers). Christian Burks is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (15 papers) and Algorithms and Data Compression (8 papers). Christian Burks collaborates with scholars based in United States, Australia and Canada. Christian Burks's co-authors include Walter B. Goad, James W. Fickett, Chang‐Shung Tung, Chris Fields, Gary D. Stormo, Stephen M. Mount, Owen White, Wayne P. Rindone, Frances I. Lewitter and Howard S. Bilofsky and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Christian Burks i

Fields of papers citing papers by Christian Burks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Burks. 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 Christian Burks. The network helps show where Christian Burks may publish in the future.

Countries citing papers authored by Christian Burks

Since Specialization
Citations

This map shows the geographic impact of Christian Burks'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 Christian Burks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Burks more than expected).

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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2025