Ashley M. Newbigging

1.4k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 8

Ashley M. Newbigging

10 papers receiving 1.1k citations

Hit Papers

CRISPR technology incorporating amplification strategies:...232202120262022202450100150200

Peers

Ashley M. Newbigging
Comparison fields: 5 of 95
  • Infectious Diseases 265
  • Molecular Biology 943
  • Biomedical Engineering 588
  • Business and International Management 12
  • Electrochemistry 35
Replace Jeffrey Tao with:
Jeffrey Tao Canada
Zhuo Hao China
Ru Huang China
André Kling Switzerland
Shengwei Zhang United States
Ruben R. G. Soares Portugal
Piyush Jain United States
Anant S. Gurung United States
Haicong Shen China
Ashley M. Newbigging relative to Jeffrey Tao Canada Jeffrey Tao's profile →
Citations per field
00.5×10×13.5×
Jeffrey Tao · 1×
Citations per year

Countries citing papers authored by Ashley M. Newbigging

Since Specialization
Citations

This map shows the geographic impact of Ashley M. Newbigging'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 Ashley M. Newbigging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley M. Newbigging more than expected).

Fields of papers citing papers by Ashley M. Newbigging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashley M. Newbigging. 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 Ashley M. Newbigging. The network helps show where Ashley M. Newbigging may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ashley M. Newbigging, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashley M. Newbigging Line = papers co-authored together Ashley M. Newbigging links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20260
2 20250
3 20241
4 20230
5
CRISPR technology incorporating amplification strategies: molecular assays for nucleic acids, proteins, and small moleculesbreakdown →
2021232
6 2020296
7 20192
8 2019178
9 2017198
10 201515
11 201518
12 201511
13 2014186

About Ashley M. Newbigging

Ashley M. Newbigging is a scholar working on Biochemistry, Health, Toxicology and Mutagenesis and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Biosensors and Analytical Detection (4 papers), CRISPR and Genetic Engineering (2 papers), Molecular Biology Techniques and Applications (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), RNA and protein synthesis mechanisms (2 papers), SARS-CoV-2 detection and testing (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (265 citations), Molecular Biology (943 citations) and Biomedical Engineering (588 citations). Ashley M. Newbigging has collaborated with scholars based in Canada, China and United States. Frequent co-authors include X. Chris Le, Hongquan Zhang, Hanyong Peng, Jeffrey Tao, Michael S. Reid, Yiren Cao, Bo Pang, Connie Le, Wei Feng and D. Lorne Tyrrell. Their work appears in journals such as Analytical Chemistry, Chemical Communications and Chemical Science.

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.

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