Christian Burks
- Molecular Biology top 5%
- Genetics top 5%
- Plant Science top 10%
- Artificial Intelligence top 5%
- Ecology top 10%
- Co-authors
- Walter B. GoadJames W. FickettChang‐Shung TungChris FieldsStephen M. MountGary D. StormoOwen WhiteMichael S. Waterman
- Topics
- Genomics and Phylogenetic Studies (17 papers)RNA and protein synthesis mechanisms (15 papers)Algorithms and Data Compression (8 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Christian Burks
41 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.8k
- Genetics 460
- Plant Science 302
- Artificial Intelligence 214
- Ecology 176
Countries citing papers authored by Christian Burks
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).
Fields of papers citing papers by Christian Burks
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.
Co-authorship network of co-authors of Christian Burks
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Burks. A scholar is included among the top collaborators of Christian Burks 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 Christian Burks. Christian Burks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 3 | |
| 3 | 66 | |
| 4 | 138 | |
| 5 | 12 | |
| 6 | 21 | |
| 7 | 9 | |
| 8 | 41 | |
| 9 | 40 | |
| 10 | 338 | |
| 11 | 95 | |
| 12 | 52 | |
| 13 | 6 | |
| 14 | 165 | |
| 15 | 3 | |
| 16 | 21 | |
| 17 | 11 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 154 |
About Christian Burks
Christian Burks is a scholar working on Molecular Biology, Biochemistry and Information Systems and Management, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), RNA and protein synthesis mechanisms (15 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Genetics (460 citations) and Endocrinology (50 citations). Christian Burks has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Walter B. Goad, James W. Fickett, Chang‐Shung Tung, Chris Fields, Stephen M. Mount, Gary D. Stormo, Owen White, Michael S. Waterman, Temple F. Smith and Howard S. Bilofsky. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.