Steven W. Graves
- Biophysics top 2%
- Biomedical Engineering top 2%
- Microfluidic and Bio-sensing Technologies 30
- Biosensors and Analytical Detection 15
- Microfluidic and Capillary Electrophoresis Applications 12
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques 10
- Single-cell and spatial transcriptomics 9
- Clinical Biochemistry top 5%
- Immunology and Allergy top 10%
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- Soil Moisture and Remote Sensing 5
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- Molecular Junctions and Nanostructures 5
- Electrowetting and Microfluidic Technologies 5
- Co-authors
- Menake E. PiyasenaTravis A. WoodsGregory GoddardKenneth A. JohnsonAllison A. JohnsonDino Di CarloJohn P. NolanRobert W. Applegate
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Steven W. Graves
64 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 120
- Biophysics 179
- Biomedical Engineering 1.2k
- Molecular Biology 822
- Clinical Biochemistry 72
- Immunology and Allergy 55
Countries citing papers authored by Steven W. Graves
This map shows the geographic impact of Steven W. 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 Steven W. Graves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven W. Graves more than expected).
Fields of papers citing papers by Steven W. Graves
This network shows the impact of papers produced by Steven W. 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 Steven W. Graves. The network helps show where Steven W. Graves may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven W. Graves, 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 | 2020 | 6 | |
| 2 | 2016 | 12 | |
| 3 | 2015 | 4 | |
| 4 | 2015 | 9 | |
| 5 | 2014 | 28 | |
| 6 | 2012 | 41 | |
| 7 | 2012 | 16 | |
| 8 | 2009 | 17 | |
| 9 | 2009 | 12 | |
| 10 | 2009 | 37 | |
| 11 | 2009 | 17 | |
| 12 | 2007 | 25 | |
| 13 | 2007 | 20 | |
| 14 | 2006 | 95 | |
| 15 | 2005 | 14 | |
| 16 | 2003 | 43 | |
| 17 | 2003 | 67 | |
| 18 | 2002 | 27 | |
| 19 | 2000 | 5 | |
| 20 | 1995 | 9 |
About Steven W. Graves
Steven W. Graves is a scholar working on Endocrinology, Biomedical Engineering and Biophysics, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (30 papers), Biosensors and Analytical Detection (15 papers), Microfluidic and Capillary Electrophoresis Applications (12 papers), Advanced biosensing and bioanalysis techniques (10 papers), Single-cell and spatial transcriptomics (9 papers), Soil Moisture and Remote Sensing (5 papers), Molecular Junctions and Nanostructures (5 papers) and Electrowetting and Microfluidic Technologies (5 papers). The work is most often cited by research in Biophysics (179 citations), Biomedical Engineering (1.2k citations) and Molecular Biology (822 citations). Steven W. Graves has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Menake E. Piyasena, Travis A. Woods, Gregory Goddard, Kenneth A. Johnson, Allison A. Johnson, Dino Di Carlo, John P. Nolan, Robert W. Applegate, Bruce S. Edwards and Larry A. Sklar.
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.