Daniel Asarnow
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Yifan Cheng (9 shared papers)Eugene Palovcak (3 shared papers)David Julius (3 shared papers)Melody G. Campbell (3 shared papers)Henriette Elisabeth Autzen (1 shared paper)Alexander Myasnikov (1 shared paper)Rahul Singh (8 shared papers)Philip A. Beachy (2 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Nature (2 papers)Nature Methods (1 paper)IUCrJ (1 paper)Microscopy and Microanalysis (1 paper)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Daniel Asarnow
21 papers receiving 845 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Structural Biology 61
- Sensory Systems 190
- Parasitology 86
- Physiology 43
- Molecular Biology 484
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 22 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 | 207 |
| 2 | 2018 | 177 | |
| 3 | 2019 | 145 | |
| 4 | 2019 | 85 | |
| 5 | 2014 | 53 | |
| 6 | 2024 | 44 | |
| 7 | 2012 | 39 | |
| 8 | 2020 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2013 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2013 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2013 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2014 | 1 |
About Daniel Asarnow
Daniel Asarnow is a scholar working on Molecular Biology, Infectious Diseases, Structural Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 22 papers that have together received 849 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Cell Image Analysis Techniques (3 papers), Viral Infections and Immunology Research (3 papers), Parasites and Host Interactions (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Computational Drug Discovery Methods (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Structural Biology (61 citations), Sensory Systems (190 citations), Parasitology (86 citations), Physiology (43 citations) and Molecular Biology (484 citations). Daniel Asarnow has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Yifan Cheng, Eugene Palovcak, David Julius, Melody G. Campbell, Henriette Elisabeth Autzen, Alexander Myasnikov, Rahul Singh, Philip A. Beachy, Yunxiao Zhang and David Bulkley. Their work appears in journals such as BMC Bioinformatics, Nature, Nature Methods, IUCrJ and Microscopy and Microanalysis.
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.