Danielle Buchanan
Impact in
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- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- Advanced Biosensing Techniques and Applications
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
- Microfluidic and Capillary Electrophoresis Applications
Papers in
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- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 1
- Angiogenesis and VEGF in Cancer 1
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Biosensors and Analytical Detection 3
- Microfluidic and Bio-sensing Technologies 1
- Co-authors
- Robert T. Kennedy (4 shared papers)Igor German (2 shared papers)Qing Deng (1 shared paper)Abdul Malik (1 shared paper)Petra Burgstaller (1 shared paper)Thomas R. Battersby (1 shared paper)Steven A. Benner (1 shared paper)Darwin Ang (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Electrophoresis (1 paper)Journal of the American Chemical Society (1 paper)Journal of Chromatography B (1 paper)Peptides (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle Buchanan
6 papers receiving 578 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 524
- Biomedical Engineering 323
- Electrochemistry 14
- Spectroscopy 33
- Bioengineering 11
Countries citing papers authored by Danielle Buchanan
This map shows the geographic impact of Danielle Buchanan'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 Danielle Buchanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Buchanan more than expected).
Fields of papers citing papers by Danielle Buchanan
This network shows the impact of papers produced by Danielle Buchanan. 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 Danielle Buchanan. The network helps show where Danielle Buchanan may publish in the future.
Co-authors
The 22 scholars most cited alongside Danielle Buchanan, 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 | 1998 | 235 | |
| 2 | 2001 | 157 | |
| 3 | 1999 | 100 | |
| 4 | 2003 | 75 | |
| 5 | 2003 | 19 | |
| 6 | 2006 | 10 |
About Danielle Buchanan
Danielle Buchanan is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Biophysics and Immunology, having authored 6 papers that have together received 596 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (3 papers), Microfluidic and Bio-sensing Technologies (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Molecular Junctions and Nanostructures (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Molecular Biology (524 citations), Biomedical Engineering (323 citations), Electrochemistry (14 citations), Spectroscopy (33 citations) and Bioengineering (11 citations). Danielle Buchanan has collaborated with scholars based in United States. Frequent co-authors include Robert T. Kennedy, Igor German, Qing Deng, Abdul Malik, Petra Burgstaller, Thomas R. Battersby, Steven A. Benner, Darwin Ang, Michael T. Bowser and James J. Bao. Their work appears in journals such as Analytical Chemistry, Electrophoresis, Journal of the American Chemical Society, Journal of Chromatography B and Peptides.
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.