Daniel Goodwin
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
Papers in
-
- Mitochondrial Function and Pathology 1
-
- Software System Performance and Reliability 2
- Co-authors
- Jaehun Cho (1 shared paper)Evan Murray (1 shared paper)Young-Gyun Park (1 shared paper)Margaret McCue (1 shared paper)Kwanghun Chung (1 shared paper)Sung‐Yon Kim (1 shared paper)Taeyun Ku (1 shared paper)H. Sebastian Seung (1 shared paper)
- Journals
- PLoS ONE (1 paper)Cell (1 paper)Brain Communications (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)Frontiers in Climate (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Goodwin
8 papers receiving 463 citations
Peers
Comparison fields: 5 of 96
- Biophysics 235
- Structural Biology 26
- Cellular and Molecular Neuroscience 79
- Environmental Engineering 48
- Molecular Biology 180
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 | 346 | |
| 2 | 2022 | 43 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 12 | |
| 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 | 3 |
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 468 indexed citations. Recurring topics across this work include Software System Performance and Reliability (2 papers), CO2 Sequestration and Geologic Interactions (2 papers), Genetic Neurodegenerative Diseases (2 papers), Methane Hydrates and Related Phenomena (2 papers), Neurological disorders and treatments (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Mitochondrial Function and Pathology (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (235 citations), Structural Biology (26 citations), Cellular and Molecular Neuroscience (79 citations), Environmental Engineering (48 citations) and Molecular Biology (180 citations). Daniel Goodwin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jaehun Cho, Evan Murray, Young-Gyun Park, Margaret McCue, Kwanghun Chung, Sung‐Yon Kim, Taeyun Ku, H. Sebastian Seung, Jeong Yoon Park and Heejin Choi. Their work appears in journals such as PLoS ONE, Cell, Brain Communications, Journal of Neurology Neurosurgery & Psychiatry 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.