Daniel E. Asarnow
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 4
- COVID-19 Clinical Research Studies 4
-
- Advanced Electron Microscopy Techniques and Applications 3
- Co-authors
- Yifan Cheng (8 shared papers)David J. Julius (3 shared papers)Melody G. Campbell (3 shared papers)Henriette Elisabeth Autzen (1 shared paper)Alexander Myasnikov (1 shared paper)Rahul Singh (9 shared papers)Yunxiao Zhang (2 shared papers)Philip A. Beachy (2 shared papers)
- Journals
- Cell (3 papers)Science (3 papers)Nature (2 papers)BMC Bioinformatics (2 papers)Microscopy and Microanalysis (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daniel E. Asarnow
30 papers receiving 1.8k citations
Daniel E. Asarnow's Hit Papers
Peers
Comparison fields: 5 of 107
- Sensory Systems 193
- Infectious Diseases 704
- Structural Biology 49
- Parasitology 86
- Molecular Biology 841
Countries citing papers authored by Daniel E. Asarnow
This map shows the geographic impact of Daniel E. 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 E. 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 E. Asarnow more than expected).
Fields of papers citing papers by Daniel E. Asarnow
This network shows the impact of papers produced by Daniel E. 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 E. Asarnow. The network helps show where Daniel E. Asarnow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms Hit paper breakdown → | 2020 | 536 |
| 2 | 2020 | 312 | |
| 3 | 2017 | 218 | |
| 4 | 2018 | 179 | |
| 5 | 2019 | 89 | |
| 6 | 2020 | 78 | |
| 7 | Spike deep mutational scanning helps predict success of SARS-CoV-2 clades Hit paper breakdown → | 2024 | 71 |
| 8 | 2014 | 59 | |
| 9 | 2021 | 58 | |
| 10 | 2012 | 43 | |
| 11 | 2020 | 26 | |
| 12 | Multiple independent acquisitions of ACE2 usage in MERS-related coronaviruses Hit paper breakdown → | 2025 | 26 |
| 13 | 2021 | 21 | |
| 14 | 2018 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2024 | 10 | |
| 18 | 2013 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2024 | 7 |
About Daniel E. Asarnow
Daniel E. Asarnow is a scholar working on Infectious Diseases, Structural Biology, Animal Science and Zoology, Biophysics and Molecular Biology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Immunology Research (3 papers), Cell Image Analysis Techniques (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Sensory Systems (193 citations), Infectious Diseases (704 citations), Structural Biology (49 citations), Parasitology (86 citations) and Molecular Biology (841 citations). Daniel E. Asarnow has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yifan Cheng, David J. Julius, Melody G. Campbell, Henriette Elisabeth Autzen, Alexander Myasnikov, Rahul Singh, Yunxiao Zhang, Philip A. Beachy, Yao Xin and Ashutosh Sharma. Their work appears in journals such as Cell, Science, Nature, BMC Bioinformatics 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.