Dan Close
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Biomedical Engineering top 10%
- Biofuel production and bioconversion
- 3D Printing in Biomedical Research
- Biosensors and Analytical Detection
Papers in
-
- bioluminescence and chemiluminescence research 27
- Gene Regulatory Network Analysis 5
- Viral Infectious Diseases and Gene Expression in Insects 4
- Microbial Metabolic Engineering and Bioproduction 4
-
- 3D Printing in Biomedical Research 12
- Biofuel production and bioconversion 6
- Co-authors
- Steven Ripp (29 shared papers)Gary S. Sayler (26 shared papers)Tingting Xu (23 shared papers)Hannah Akinosho (2 shared papers)Arthur J. Ragauskas (2 shared papers)Kelsey L. Yee (1 shared paper)Stacey S. Patterson (3 shared papers)Seung Joon Baek (2 shared papers)
- Journals
- Sensors (4 papers)Ecotoxicology (2 papers)PLoS ONE (2 papers)Journal of Visualized Experiments (2 papers)Biomass and Bioenergy (1 paper)
- Partner nations
- United StatesCanadaMalawi
In The Last Decade
Dan Close
36 papers receiving 915 citations
Peers
Comparison fields: 5 of 99
- Biophysics 129
- Biomedical Engineering 453
- Molecular Biology 662
- Biotechnology 66
- Cellular and Molecular Neuroscience 94
Countries citing papers authored by Dan Close
This map shows the geographic impact of Dan Close'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 Dan Close with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Close more than expected).
Fields of papers citing papers by Dan Close
This network shows the impact of papers produced by Dan Close. 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 Dan Close. The network helps show where Dan Close may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Close, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 160 | |
| 2 | 2014 | 138 | |
| 3 | 2010 | 104 | |
| 4 | 2016 | 69 | |
| 5 | 2012 | 68 | |
| 6 | 2012 | 67 | |
| 7 | 2009 | 61 | |
| 8 | 2014 | 45 | |
| 9 | 2011 | 35 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2016 | 13 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2017 | 7 |
About Dan Close
Dan Close is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Cellular and Molecular Neuroscience and Genetics, having authored 39 papers that have together received 943 indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (27 papers), Cell Image Analysis Techniques (13 papers), 3D Printing in Biomedical Research (12 papers), Biofuel production and bioconversion (6 papers), Gene Regulatory Network Analysis (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Biophysics (129 citations), Biomedical Engineering (453 citations), Molecular Biology (662 citations), Biotechnology (66 citations) and Cellular and Molecular Neuroscience (94 citations). Dan Close has collaborated with scholars based in United States, Canada and Malawi. Frequent co-authors include Steven Ripp, Gary S. Sayler, Tingting Xu, Hannah Akinosho, Arthur J. Ragauskas, Kelsey L. Yee, Stacey S. Patterson, Seung Joon Baek, John Sanseverino and Abby E. Smartt. Their work appears in journals such as Sensors, Ecotoxicology, PLoS ONE, Journal of Visualized Experiments and Biomass and Bioenergy.
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.