Jeffery T. Davis
- Molecular Biology top 1%
- Organic Chemistry top 0.5%
- Spectroscopy top 0.1%
- Biomaterials top 0.5%
- Materials Chemistry top 2%
- Co-authors
- Roberto QuesadaGian Piero SpadaJames C. FettingerPhilip A. GaleGretchen Marie PetersOluyomi A. OkunolaFrank W. KotchSatoru Masamune
- Topics
- DNA and Nucleic Acid Chemistry (47 papers)Molecular Sensors and Ion Detection (34 papers)Advanced biosensing and bioanalysis techniques (30 papers)
- Journals
- Journal of the American Chemical SocietyChemical Society ReviewsJournal of Biological Chemistry
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Jeffery T. Davis
110 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 5.3k
- Organic Chemistry 3.1k
- Spectroscopy 2.9k
- Biomaterials 1.8k
- Materials Chemistry 1.7k
Countries citing papers authored by Jeffery T. Davis
This map shows the geographic impact of Jeffery T. Davis'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 Jeffery T. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffery T. Davis more than expected).
Fields of papers citing papers by Jeffery T. Davis
This network shows the impact of papers produced by Jeffery T. Davis. 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 Jeffery T. Davis. The network helps show where Jeffery T. Davis may publish in the future.
Co-authorship network of co-authors of Jeffery T. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffery T. Davis. A scholar is included among the top collaborators of Jeffery T. Davis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffery T. Davis. Jeffery T. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 1 | |
| 3 | 244 | |
| 4 | 39 | |
| 5 | 32 | |
| 6 | 37 | |
| 7 | 129 | |
| 8 | 25 | |
| 9 | 45 | |
| 10 | Supramolecular architectures generated by self-assembly of guanosine derivativesbreakdown → | 591 |
| 11 | 71 | |
| 12 | 108 | |
| 13 | 88 | |
| 14 | 223 | |
| 15 | G‐Quartets 40 Years Later: From 5′‐GMP to Molecular Biology and Supramolecular Chemistrybreakdown → | 1440 |
| 16 | 65 | |
| 17 | 71 | |
| 18 | 10 | |
| 19 | 56 | |
| 20 | Applications of biocatalysts in the synthesis of phospholipids | 1 |
About Jeffery T. Davis
Jeffery T. Davis is a scholar working on Spectroscopy, Biomaterials and Organic Chemistry, having authored 113 papers that have together received 9.0k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (47 papers), Molecular Sensors and Ion Detection (34 papers) and Advanced biosensing and bioanalysis techniques (30 papers). The work is most often cited by research in Spectroscopy (2.9k citations), Biomaterials (1.8k citations) and Organic Chemistry (3.1k citations). Jeffery T. Davis has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Roberto Quesada, Gian Piero Spada, James C. Fettinger, Philip A. Gale, Gretchen Marie Peters, Oluyomi A. Okunola, Frank W. Kotch, Satoru Masamune, Mark S. Kaucher and William Choy. Their work appears in journals such as Journal of the American Chemical Society, Chemical Society Reviews and Journal of Biological Chemistry.
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.