David J. Graves
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Steven E. McKenzieVincent ChanMark A. BurnsPaolo FortinaDaniel A. HammerSaul SurreyValeria T. MilamDouglas A. Lauffenburger
- Topics
- Advancements in Transdermal Drug Delivery (7 papers)Advanced biosensing and bioanalysis techniques (7 papers)Thermoregulation and physiological responses (6 papers)
- Journals
- ScienceAnalytical ChemistryLangmuir
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
David J. Graves
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 782
- Biomedical Engineering 547
- Electrical and Electronic Engineering 172
- Materials Chemistry 137
- Radiology, Nuclear Medicine and Imaging 100
Countries citing papers authored by David J. Graves
This map shows the geographic impact of David J. Graves'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 David J. Graves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Graves more than expected).
Fields of papers citing papers by David J. Graves
This network shows the impact of papers produced by David J. Graves. 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 David J. Graves. The network helps show where David J. Graves may publish in the future.
Co-authorship network of co-authors of David J. Graves
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Graves. A scholar is included among the top collaborators of David J. Graves 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 David J. Graves. David J. Graves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 112 | |
| 2 | 16 | |
| 3 | 51 | |
| 4 | 46 | |
| 5 | 25 | |
| 6 | 8 | |
| 7 | 105 | |
| 8 | 59 | |
| 9 | 24 | |
| 10 | 23 | |
| 11 | 34 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 49 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 9 |
About David J. Graves
David J. Graves is a scholar working on Pharmaceutical Science, Physiology and Surfaces, Coatings and Films, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Thermoregulation and physiological responses (6 papers). The work is most often cited by research in Biomedical Engineering (547 citations), Molecular Biology (782 citations) and Surfaces, Coatings and Films (79 citations). David J. Graves has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Steven E. McKenzie, Vincent Chan, Mark A. Burns, Paolo Fortina, Daniel A. Hammer, Saul Surrey, Valeria T. Milam, Douglas A. Lauffenburger, Larry J. Kricka and Amy L. Hiddessen. Their work appears in journals such as Science, Analytical Chemistry and Langmuir.
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.