Gregory A. C. Singer
- Ecology top 1%
- Environmental DNA in Biodiversity Studies 11
- Microbial Community Ecology and Physiology 4
- Ecological Modeling top 2%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 11
- Identification and Quantification in Food 10
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 4
- Bioinformatics and Genomic Networks 2
- Genetics top 2%
- Genetic diversity and population structure 2
- Co-authors
- Dónal A. HickeyMehrdad HajibabaeiPaul D. N. HebertShadi ShokrallaJean‐François LandryIsabelle MeusnierXin ZhouDonald J. Baird
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Gregory A. C. Singer
20 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Ecology 1.5k
- Ecological Modeling 203
- Molecular Biology 2.1k
- Genetics 718
- Ecology, Evolution, Behavior and Systematics 436
Countries citing papers authored by Gregory A. C. Singer
This map shows the geographic impact of Gregory A. C. Singer'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 Gregory A. C. Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory A. C. Singer more than expected).
Fields of papers citing papers by Gregory A. C. Singer
This network shows the impact of papers produced by Gregory A. C. Singer. 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 Gregory A. C. Singer. The network helps show where Gregory A. C. Singer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory A. C. Singer, 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 | 2024 | 2 | |
| 2 | 2022 | 20 | |
| 3 | 2020 | 69 | |
| 4 | 2019 | 84 | |
| 5 | 2011 | 414 | |
| 6 | 2010 | 77 | |
| 7 | 2010 | 61 | |
| 8 | 2010 | 71 | |
| 9 | 2009 | 7 | |
| 10 | 2009 | 18 | |
| 11 | 2008 | 45 | |
| 12 | A universal DNA mini-barcode for biodiversity analysisbreakdown → | 2008 | 515 |
| 13 | 2007 | 147 | |
| 14 | DNA barcoding: how it complements taxonomy, molecular phylogenetics and population geneticsbreakdown → | 2007 | 867 |
| 15 | 2006 | 71 | |
| 16 | 2006 | 60 | |
| 17 | 2004 | 125 | |
| 18 | 2004 | 116 | |
| 19 | 2003 | 149 | |
| 20 | 2000 | 213 |
About Gregory A. C. Singer
Gregory A. C. Singer is a scholar working on Ecology, Molecular Biology and Genetics, having authored 20 papers that have together received 3.1k indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (11 papers), Genomics and Phylogenetic Studies (11 papers), Identification and Quantification in Food (10 papers), Microbial Community Ecology and Physiology (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetic diversity and population structure (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Ecology (1.5k citations), Ecological Modeling (203 citations) and Molecular Biology (2.1k citations). Gregory A. C. Singer has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Dónal A. Hickey, Mehrdad Hajibabaei, Paul D. N. Hebert, Shadi Shokralla, Jean‐François Landry, Isabelle Meusnier, Xin Zhou, Donald J. Baird, Elizabeth L. Clare and Nicole Fahner. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific 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.