Travis White
Impact in
-
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Advanced biosensing and bioanalysis techniques
-
- Chromosomal and Genetic Variations
Papers in
-
- RNA and protein synthesis mechanisms 7
- DNA Repair Mechanisms 6
- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
-
- Chromosomal and Genetic Variations 9
- Co-authors
- Prescott L. Deininger (7 shared papers)Maria E. Morales (5 shared papers)Alan M. Lambowitz (3 shared papers)Dale J. Hedges (2 shared papers)Vincent A. Streva (3 shared papers)Victoria P. Belancio (4 shared papers)Géraldine Servant (2 shared papers)Fanglei Zhuang (2 shared papers)
- Journals
- PLoS Genetics (2 papers)Nucleic Acids Research (2 papers)Gene (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Travis White
17 papers receiving 351 citations
Peers
Comparison fields: 5 of 48
- Molecular Biology 319
- Plant Science 153
- Genetics 62
- Cancer Research 23
- Ecology 27
Countries citing papers authored by Travis White
This map shows the geographic impact of Travis White'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 Travis White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis White more than expected).
Fields of papers citing papers by Travis White
This network shows the impact of papers produced by Travis White. 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 Travis White. The network helps show where Travis White may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis White, 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 | 2016 | 79 | |
| 2 | 2015 | 61 | |
| 3 | 2008 | 37 | |
| 4 | 2016 | 31 | |
| 5 | 2021 | 30 | |
| 6 | 2009 | 20 | |
| 7 | 2012 | 19 | |
| 8 | 2014 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2024 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 4 | |
| 14 | 2022 | 4 | |
| 15 | Effects on host genome and structure | 1994 | 3 |
| 16 | 2017 | 2 | |
| 17 | 2025 | 1 |
About Travis White
Travis White is a scholar working on Molecular Biology, Plant Science, Genetics, Pathology and Forensic Medicine and Oncology, having authored 17 papers that have together received 352 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (9 papers), RNA and protein synthesis mechanisms (7 papers), DNA Repair Mechanisms (6 papers), CRISPR and Genetic Engineering (5 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Molecular Biology (319 citations), Plant Science (153 citations), Genetics (62 citations), Cancer Research (23 citations) and Ecology (27 citations). Travis White has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Prescott L. Deininger, Maria E. Morales, Alan M. Lambowitz, Dale J. Hedges, Vincent A. Streva, Victoria P. Belancio, Géraldine Servant, Fanglei Zhuang, Erik K. Flemington and Melody Baddoo. Their work appears in journals such as PLoS Genetics, Nucleic Acids Research, Gene, Nature Communications and Cell Reports.
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.