Daniel Goodwin
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 10%
Papers in
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- Single-cell and spatial transcriptomics 1
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- Software System Performance and Reliability 2
- Co-authors
- Heejin Choi (1 shared paper)Justin Swaney (1 shared paper)Jaehun Cho (1 shared paper)Young-Gyun Park (1 shared paper)Margaret McCue (1 shared paper)Kwanghun Chung (1 shared paper)N.A. Bakh (1 shared paper)Matthew P. Frosch (1 shared paper)
- Journals
- Brain Communications (1 paper)Cell (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)PLoS ONE (1 paper)Frontiers in Climate (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Goodwin
8 papers receiving 429 citations
Peers
Comparison fields: 5 of 87
- Biophysics 228
- Structural Biology 25
- Cellular and Molecular Neuroscience 76
- Environmental Engineering 42
- Molecular Biology 179
Countries citing papers authored by Daniel Goodwin
This map shows the geographic impact of Daniel Goodwin'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 Daniel Goodwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Goodwin more than expected).
Fields of papers citing papers by Daniel Goodwin
This network shows the impact of papers produced by Daniel Goodwin. 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 Daniel Goodwin. The network helps show where Daniel Goodwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Goodwin, 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 | 2015 | 325 | |
| 2 | 2022 | 35 | |
| 3 | 2020 | 33 | |
| 4 | 2022 | 12 | |
| 5 | 2023 | 10 | |
| 6 | 2017 | 7 | |
| 7 | 2014 | 6 | |
| 8 | Southern Slavery in Its Present Aspects: Containing a Reply to a Late Work of the Bishop of Vermont on Slavery | 1969 | 4 |
| 9 | 2016 | 2 |
About Daniel Goodwin
Daniel Goodwin is a scholar working on Molecular Biology, Computer Networks and Communications, Cellular and Molecular Neuroscience, Environmental Chemistry and Environmental Engineering, having authored 9 papers that have together received 434 indexed citations. Recurring topics across this work include CO2 Sequestration and Geologic Interactions (2 papers), Methane Hydrates and Related Phenomena (2 papers), Software System Performance and Reliability (2 papers), Genetic Neurodegenerative Diseases (2 papers), Single-cell and spatial transcriptomics (1 paper), Cell Image Analysis Techniques (1 paper), Anodic Oxide Films and Nanostructures (1 paper) and Information and Cyber Security (1 paper). The work is most often cited by research in Biophysics (228 citations), Structural Biology (25 citations), Cellular and Molecular Neuroscience (76 citations), Environmental Engineering (42 citations) and Molecular Biology (179 citations). Daniel Goodwin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Heejin Choi, Justin Swaney, Jaehun Cho, Young-Gyun Park, Margaret McCue, Kwanghun Chung, N.A. Bakh, Matthew P. Frosch, Sung‐Yon Kim and Van J. Wedeen. Their work appears in journals such as Brain Communications, Cell, Journal of Neurology Neurosurgery & Psychiatry, PLoS ONE and Frontiers in Climate.
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.