Jonathan D. Vaught

2.9k citations
6 papers · 625 · h-index 6

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Advanced Biosensing Techniques and Applications
    • Biosensors and Analytical Detection

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • Advanced Biosensing Techniques and Applications 2
    • DNA and Nucleic Acid Chemistry 2
    • RNA and protein synthesis mechanisms 2
    • Advanced Proteomics Techniques and Applications 1

Jonathan D. Vaught

6 papers receiving 590 citations

Peers

Jonathan D. Vaught
Comparison fields: 5 of 65
  • Molecular Biology 482
  • Biomedical Engineering 109
  • Reproductive Medicine 19
  • Spectroscopy 37
  • Radiology, Nuclear Medicine and Imaging 36
Replace Fong Fong Liew with:
Fong Fong Liew Malaysia
Rachel Yuan Nong Sweden
Yiran Huang China
Yibin Liu China
Gokhan Demirkan United States
Maria Hammond Sweden
Frank Kleinjung Germany
Bárbara Cardinali Italy
Judith Nicholson United Kingdom
Subashinie Jayasena Sri Lanka
Jonathan D. Vaught relative to Fong Fong Liew Malaysia Fong Fong Liew's profile →
Citations per field
00.5×2×2.6×
Fong Fong Liew · 1×
Citations per year

Countries citing papers authored by Jonathan D. Vaught

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Vaught

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Vaught. 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 Jonathan D. Vaught. The network helps show where Jonathan D. Vaught may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan D. Vaught, 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 Jonathan D. Vaught Line = papers co-authored together Jonathan D. Vaught links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2010274
2 2011238
3 200457
4 200922
5 201318
6 200516

About Jonathan D. Vaught

Jonathan D. Vaught is a scholar working on Molecular Biology, Spectroscopy, Oncology, Physical and Theoretical Chemistry and Biomedical Engineering, having authored 6 papers that have together received 625 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Advanced Biosensing Techniques and Applications (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Biosensors and Analytical Detection (1 paper), Photochemistry and Electron Transfer Studies (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Molecular Biology (482 citations), Biomedical Engineering (109 citations), Reproductive Medicine (19 citations), Spectroscopy (37 citations) and Radiology, Nuclear Medicine and Imaging (36 citations). Jonathan D. Vaught has collaborated with scholars based in United States. Frequent co-authors include Bruce E. Eaton, Sheri K. Wilcox, Sheela Waugh, Jeff Carter, Dan Schneider, Justin C. Rolando, Tim Fitzwater, C. Bock, Stephan Kräemer and Larry Gold. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE, The Journal of Physical Chemistry B and JALA Journal of the Association for Laboratory Automation.

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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