Daniel Gaston
Impact in
- Parasitology top 5%
- Parasitic Infections and Diagnostics
Papers in
-
- Protist diversity and phylogeny 4
- Glycosylation and Glycoproteins Research 2
- Oncology 7
- Polyomavirus and related diseases 3
- Lung Cancer Research Studies 2
- Co-authors
- Andrew J. Roger (8 shared papers)Jason N. Berman (3 shared papers)Sergey V. Prykhozhij (2 shared papers)Alexandra Stechmann (4 shared papers)Vinothkumar Rajan (2 shared papers)Anastasios D. Tsaousis (4 shared papers)Vicente Pérez‐Brocal (1 shared paper)Mark van der Giezen (1 shared paper)
- Journals
- Human Pathology (3 papers)PLoS ONE (2 papers)Bioinformatics (1 paper)Molecular Genetics and Genomics (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daniel Gaston
32 papers receiving 826 citations
Peers
Comparison fields: 5 of 86
- Parasitology 133
- Business and International Management 20
- Molecular Biology 493
- Aging 8
- Oncology 101
Countries citing papers authored by Daniel Gaston
This map shows the geographic impact of Daniel Gaston'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 Daniel Gaston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gaston more than expected).
Fields of papers citing papers by Daniel Gaston
This network shows the impact of papers produced by Daniel Gaston. 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 Daniel Gaston. The network helps show where Daniel Gaston may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gaston, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 145 | |
| 2 | 2015 | 136 | |
| 3 | 2007 | 66 | |
| 4 | 2012 | 63 | |
| 5 | 2016 | 55 | |
| 6 | 2017 | 54 | |
| 7 | 2013 | 45 | |
| 8 | 2019 | 30 | |
| 9 | 2010 | 25 | |
| 10 | 2009 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 2011 | 22 | |
| 13 | 2017 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2014 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2013 | 10 | |
| 19 | 2019 | 8 | |
| 20 | 2021 | 8 |
About Daniel Gaston
Daniel Gaston is a scholar working on Molecular Biology, Oncology, Parasitology, Infectious Diseases and Epidemiology, having authored 35 papers that have together received 836 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (4 papers), Protist diversity and phylogeny (4 papers), Polyomavirus and related diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers), Full-Duplex Wireless Communications (2 papers), Lung Cancer Research Studies (2 papers), Antenna Design and Analysis (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Parasitology (133 citations), Business and International Management (20 citations), Molecular Biology (493 citations), Aging (8 citations) and Oncology (101 citations). Daniel Gaston has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Andrew J. Roger, Jason N. Berman, Sergey V. Prykhozhij, Alexandra Stechmann, Vinothkumar Rajan, Anastasios D. Tsaousis, Vicente Pérez‐Brocal, Mark van der Giezen, Karleigh A. Hamblin and Gregory S. Richmond. Their work appears in journals such as Human Pathology, PLoS ONE, Bioinformatics, Molecular Genetics and Genomics and Molecular Microbiology.
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.