Daniel Asarnow
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
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- Protein Structure and Dynamics 2
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- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Yifan Cheng (9 shared papers)Eugene Palovcak (3 shared papers)David Julius (3 shared papers)Melody G. Campbell (3 shared papers)Alexander Myasnikov (1 shared paper)Henriette Elisabeth Autzen (1 shared paper)Rahul Singh (9 shared papers)Yunxiao Zhang (2 shared papers)
- Journals
- Nature (2 papers)BMC Bioinformatics (2 papers)Bioinformatics (1 paper)Nature Methods (1 paper)Science (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Daniel Asarnow
24 papers receiving 896 citations
Daniel Asarnow's Hit Papers
Peers
Comparison fields: 5 of 102
- Structural Biology 66
- Sensory Systems 193
- Parasitology 86
- Physiology 43
- Molecular Biology 487
Countries citing papers authored by Daniel Asarnow
This map shows the geographic impact of Daniel Asarnow'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 Asarnow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Asarnow more than expected).
Fields of papers citing papers by Daniel Asarnow
This network shows the impact of papers produced by Daniel Asarnow. 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 Asarnow. The network helps show where Daniel Asarnow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Asarnow, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure of the human TRPM4 ion channel in a lipid nanodisc Hit paper breakdown → | 2017 | 214 |
| 2 | 2018 | 178 | |
| 3 | 2019 | 153 | |
| 4 | 2019 | 89 | |
| 5 | 2014 | 58 | |
| 6 | 2024 | 52 | |
| 7 | 2012 | 43 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 20 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2013 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2017 | 1 |
About Daniel Asarnow
Daniel Asarnow is a scholar working on Molecular Biology, Infectious Diseases, Structural Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 903 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (4 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cell Image Analysis Techniques (3 papers), Viral Infections and Immunology Research (3 papers), Digital Imaging for Blood Diseases (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Structural Biology (66 citations), Sensory Systems (193 citations), Parasitology (86 citations), Physiology (43 citations) and Molecular Biology (487 citations). Daniel Asarnow has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Yifan Cheng, Eugene Palovcak, David Julius, Melody G. Campbell, Alexander Myasnikov, Henriette Elisabeth Autzen, Rahul Singh, Yunxiao Zhang, Philip A. Beachy and Benjamin R. Myers. Their work appears in journals such as Nature, BMC Bioinformatics, Bioinformatics, Nature Methods and Science.
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.