Timothy Burcham
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
Papers in
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- Prenatal Screening and Diagnostics 2
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- COVID-19 epidemiological studies 1
- Co-authors
- Sydney Brenner (2 shared papers)Jing-Zhong Lin (1 shared paper)Eddy Bruyns (1 shared paper)Jeannette Reinartz (1 shared paper)Richard P. Woychik (1 shared paper)Ben Bowen (1 shared paper)Thorsten Storck (1 shared paper)James J. Kirchner (1 shared paper)
- Journals
- Clinical Chemistry (1 paper)Nature Biotechnology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Med (1 paper)Briefings in Functional Genomics (1 paper)
- Partner nations
- United States
In The Last Decade
Timothy Burcham
6 papers receiving 1.3k citations
Timothy Burcham's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 809
- Plant Science 298
- Cancer Research 72
- Genetics 149
- Developmental Neuroscience 9
Countries citing papers authored by Timothy Burcham
This map shows the geographic impact of Timothy Burcham'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 Timothy Burcham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Burcham more than expected).
Fields of papers citing papers by Timothy Burcham
This network shows the impact of papers produced by Timothy Burcham. 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 Timothy Burcham. The network helps show where Timothy Burcham may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy Burcham, 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 | Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays Hit paper breakdown → | 2000 | 1018 |
| 2 | 2000 | 182 | |
| 3 | 2002 | 128 | |
| 4 | 2022 | 21 | |
| 5 | 2015 | 14 | |
| 6 | 2016 | 7 |
About Timothy Burcham
Timothy Burcham is a scholar working on Pediatrics, Perinatology and Child Health, Modeling and Simulation, Molecular Biology, Infectious Diseases and Nuclear Energy and Engineering, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (3 papers), Prenatal Screening and Diagnostics (2 papers), COVID-19 epidemiological studies (1 paper), SARS-CoV-2 detection and testing (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (809 citations), Plant Science (298 citations), Cancer Research (72 citations), Genetics (149 citations) and Developmental Neuroscience (9 citations). Timothy Burcham has collaborated with scholars based in United States. Frequent co-authors include Sydney Brenner, Jing-Zhong Lin, Eddy Bruyns, Jeannette Reinartz, Richard P. Woychik, Ben Bowen, Thorsten Storck, James J. Kirchner, Shujun J. Luo and Glenn R. Albrecht. Their work appears in journals such as Clinical Chemistry, Nature Biotechnology, Proceedings of the National Academy of Sciences, Med and Briefings in Functional Genomics.
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.