David J. Galas
Impact in
- Cancer Research top 0.1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.1%
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- Extracellular vesicles in disease
Papers in
-
- RNA and protein synthesis mechanisms 25
- Bioinformatics and Genomic Networks 25
- Gene Regulatory Network Analysis 19
- Advanced biosensing and bioanalysis techniques 14
- Genomics and Phylogenetic Studies 13
-
- MicroRNA in disease regulation 23
- Cancer-related molecular mechanisms research 18
- Co-authors
- Albert SchmitzKai WangShile ZhangDavid BaxterLeroy HoodJessica A. WeberMichaël ChandlerDavid Huang
- Journals
- Journal of Molecular Biology (15 papers)Nucleic Acids Research (11 papers)Journal of Computational Biology (8 papers)Proceedings of the National Academy of Sciences (7 papers)PLoS ONE (7 papers)
- Partner nations
- United StatesLuxembourgSwitzerland
In The Last Decade
David J. Galas
143 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Cancer Research 5.7k
- Molecular Biology 13.9k
- Genetics 4.1k
- Immunology 2.5k
- Physiology 2.0k
Countries citing papers authored by David J. Galas
This map shows the geographic impact of David J. Galas'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 David J. Galas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Galas more than expected).
Fields of papers citing papers by David J. Galas
This network shows the impact of papers produced by David J. Galas. 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 David J. Galas. The network helps show where David J. Galas may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Galas, 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 | 2021 | 5 | |
| 2 | 2020 | 9 | |
| 3 | 2018 | 58 | |
| 4 | 2017 | 57 | |
| 5 | 2015 | 20 | |
| 6 | 2014 | 120 | |
| 7 | 2012 | 144 | |
| 8 | 2012 | 9 | |
| 9 | 2012 | 5 | |
| 10 | 2011 | 140 | |
| 11 | RELATION BETWEEN THE SET-COMPLEXITY OF A GRAPH AND ITS STRUCTURE | 2011 | 1 |
| 12 | 2011 | 498 | |
| 13 | 2011 | 107 | |
| 14 | Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing Hit paper breakdown → | 2010 | 722 |
| 15 | 2010 | 27 | |
| 16 | 2003 | 10 | |
| 17 | 2003 | 464 | |
| 18 | Bacterial insertion sequences. | 1989 | 370 |
| 19 | A simple method for site-directed mutagenesis using the polymerase chain reaction Hit paper breakdown → | 1989 | 532 |
| 20 | 1987 | 22 |
About David J. Galas
David J. Galas is a scholar working on Molecular Biology, Cancer Research, Genetics, Computational Theory and Mathematics and Molecular Medicine, having authored 144 papers that have together received 20.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (25 papers), Bioinformatics and Genomic Networks (25 papers), MicroRNA in disease regulation (23 papers), Bacterial Genetics and Biotechnology (21 papers), Gene Regulatory Network Analysis (19 papers), Cancer-related molecular mechanisms research (18 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Genomics and Phylogenetic Studies (13 papers). The work is most often cited by research in Cancer Research (5.7k citations), Molecular Biology (13.9k citations), Genetics (4.1k citations), Immunology (2.5k citations) and Physiology (2.0k citations). David J. Galas has collaborated with scholars based in United States, Luxembourg and Switzerland. Frequent co-authors include Albert Schmitz, Kai Wang, Shile Zhang, David Baxter, Leroy Hood, Jessica A. Weber, Michaël Chandler, David Huang, Ming‐Jen Lee and Kuo‐How Huang. Their work appears in journals such as Journal of Molecular Biology, Nucleic Acids Research, Journal of Computational Biology, Proceedings of the National Academy of Sciences and PLoS ONE.
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.