Ryan Green
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
-
- Phytochemicals and Medicinal Plants
Papers in
-
- Acoustic Wave Resonator Technologies 4
- Wireless Body Area Networks 3
- Microfluidic and Bio-sensing Technologies 3
- 3D Printing in Biomedical Research 3
- Co-authors
- Shyam S. Mohapatra (18 shared papers)Subhra Mohapatra (16 shared papers)Rinku Dutta (7 shared papers)Mark Howell (13 shared papers)Steven R. Lawyer (1 shared paper)Rajesh R. Nair (4 shared papers)Rasim Guldiken (3 shared papers)Erdem Topsakal (6 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Immunology (2 papers)Sensors (2 papers)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Ryan Green
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 138
- General Decision Sciences 47
- Complementary and alternative medicine 90
- Oncology 183
- Cancer Research 92
- Neurology 90
Countries citing papers authored by Ryan Green
This map shows the geographic impact of Ryan Green'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 Ryan Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Green more than expected).
Fields of papers citing papers by Ryan Green
This network shows the impact of papers produced by Ryan Green. 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 Ryan Green. The network helps show where Ryan Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2014 | 108 | |
| 3 | 2013 | 106 | |
| 4 | 2011 | 76 | |
| 5 | 2020 | 63 | |
| 6 | 2019 | 50 | |
| 7 | 2015 | 43 | |
| 8 | 2016 | 40 | |
| 9 | 2017 | 36 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2021 | 23 | |
| 14 | 2007 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2018 | 19 | |
| 18 | 2012 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2012 | 17 |
About Ryan Green
Ryan Green is a scholar working on Biomedical Engineering, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Electrical and Electronic Engineering, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (4 papers), Cancer Cells and Metastasis (3 papers), Wireless Body Area Networks (3 papers), Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (3 papers), Energy Harvesting in Wireless Networks (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in General Decision Sciences (47 citations), Complementary and alternative medicine (90 citations), Oncology (183 citations), Cancer Research (92 citations) and Neurology (90 citations). Ryan Green has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Shyam S. Mohapatra, Subhra Mohapatra, Rinku Dutta, Mark Howell, Steven R. Lawyer, Rajesh R. Nair, Rasim Guldiken, Erdem Topsakal, Vladimir N. Uversky and Jaya Mallela. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Molecular Sciences, Frontiers in Immunology and Sensors.
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.