Michael A. Crone
Impact in
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- Biosensors and Analytical Detection
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- SARS-CoV-2 detection and testing 3
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Paul S. Freemont (11 shared papers)David Sharp (2 shared papers)Kirsten Jensen (3 shared papers)Bing Li (2 shared papers)Bruno M. G. Rosa (1 shared paper)Loren Cameron (1 shared paper)Laura Gonzalez‐Macia (1 shared paper)Eric M. Yeatman (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)npj Systems Biology and Applications (1 paper)Nature Communications (1 paper)Molecular Microbiology (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- United KingdomItalySingapore
In The Last Decade
Michael A. Crone
12 papers receiving 287 citations
Peers
Comparison fields: 5 of 73
- Structural Biology 5
- Biomedical Engineering 123
- Molecular Biology 178
- Infectious Diseases 42
- Bioengineering 13
Countries citing papers authored by Michael A. Crone
This map shows the geographic impact of Michael A. Crone'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 Michael A. Crone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Crone more than expected).
Fields of papers citing papers by Michael A. Crone
This network shows the impact of papers produced by Michael A. Crone. 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 Michael A. Crone. The network helps show where Michael A. Crone may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael A. Crone, 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 | 2022 | 125 | |
| 2 | 2020 | 64 | |
| 3 | 2020 | 36 | |
| 4 | 2019 | 23 | |
| 5 | 2024 | 12 | |
| 6 | 2021 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 3 |
About Michael A. Crone
Michael A. Crone is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Ecology and Epidemiology, having authored 12 papers that have together received 289 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Bacteriophages and microbial interactions (3 papers), CRISPR and Genetic Engineering (3 papers), Viral gastroenteritis research and epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Structural Biology (5 citations), Biomedical Engineering (123 citations), Molecular Biology (178 citations), Infectious Diseases (42 citations) and Bioengineering (13 citations). Michael A. Crone has collaborated with scholars based in United Kingdom, Italy and Singapore. Frequent co-authors include Paul S. Freemont, David Sharp, Kirsten Jensen, Bing Li, Bruno M. G. Rosa, Loren Cameron, Laura Gonzalez‐Macia, Eric M. Yeatman, Firat Güder and Kwang‐Leong Choy. Their work appears in journals such as npj Digital Medicine, npj Systems Biology and Applications, Nature Communications, Molecular Microbiology and Biosensors and Bioelectronics.
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.