Daniel Asarnow

4.0k total citations · 1 hit paper
22 papers, 849 citations indexed

About

Daniel Asarnow is a scholar working on Molecular Biology, Infectious Diseases and Structural Biology. According to data from OpenAlex, Daniel Asarnow has authored 22 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Structural Biology. Recurrent topics in Daniel Asarnow's work include Viral gastroenteritis research and epidemiology (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Cell Image Analysis Techniques (3 papers). Daniel Asarnow is often cited by papers focused on Viral gastroenteritis research and epidemiology (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Cell Image Analysis Techniques (3 papers). Daniel Asarnow collaborates with scholars based in United States, Denmark and United Kingdom. Daniel Asarnow's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel Asarnow

21 papers receiving 845 citations

Hit Papers

Structure of the human TRPM4 ion channel in a lipid nanodisc 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Asarnow United States 11 484 190 101 86 86 22 849
Amir Apelbaum Germany 4 595 1.2× 76 0.4× 82 0.8× 16 0.2× 6 0.1× 5 948
Manjuli R. Sharma United States 25 1.7k 3.4× 41 0.2× 339 3.4× 23 0.3× 13 0.2× 33 1.9k
Guillaume Lenoir France 19 1.1k 2.2× 40 0.2× 58 0.6× 39 0.5× 13 0.2× 42 1.3k
Alexander F. Kintzer United States 11 821 1.7× 52 0.3× 259 2.6× 21 0.2× 12 0.1× 12 1.2k
Guizhen Fan United States 15 545 1.1× 100 0.5× 130 1.3× 35 0.4× 3 0.0× 29 859
Sylviane Hoos France 18 717 1.5× 53 0.3× 193 1.9× 24 0.3× 52 0.6× 33 1.2k
I.A. Kriksunov United States 16 345 0.7× 148 0.8× 29 0.3× 12 0.1× 18 0.2× 25 895
R. Chalk United Kingdom 17 599 1.2× 41 0.2× 149 1.5× 13 0.2× 12 0.1× 36 982
Liangliang Kong China 20 869 1.8× 11 0.1× 66 0.7× 25 0.3× 47 0.5× 49 1.4k
K. Khafizov Russia 19 464 1.0× 21 0.1× 98 1.0× 38 0.4× 21 0.2× 63 834

Countries citing papers authored by Daniel Asarnow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Asarnow

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Asarnow. A scholar is included among the top collaborators of Daniel Asarnow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Asarnow. Daniel Asarnow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Addetia, Amin, Daniel Asarnow, Young‐Jun Park, et al.. (2025). SARS-CoV-2 nsp1 mediates broad inhibition of translation in mammals. Cell Reports. 44(5). 115696–115696.
2.
Lee, Jimin, Cameron Stewart, Alexandra Schäfer, et al.. (2024). A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines. Nature Communications. 15(1). 5496–5496. 7 indexed citations
3.
Asarnow, Daniel, Daija Bobe, Mykhailo Kopylov, et al.. (2024). Recent advances in infectious disease research using cryo-electron tomography. Frontiers in Molecular Biosciences. 10. 1296941–1296941. 4 indexed citations
4.
Khoroshkin, Matvei, Daniel Asarnow, Albertas Navickas, et al.. (2024). A systematic search for RNA structural switches across the human transcriptome. Nature Methods. 21(9). 1634–1645. 6 indexed citations
5.
Dadonaite, Bernadeta, Jack Brown, Ariana Ghez Farrell, et al.. (2024). Spike deep mutational scanning helps predict success of SARS-CoV-2 clades. Nature. 631(8021). 617–626. 44 indexed citations
6.
Corti, Davide, Cameron Stewart, Young‐Jun Park, et al.. (2024). A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines. UNC Libraries. 1 indexed citations
7.
Asarnow, Daniel, Ke Ding, Randall K. Mann, et al.. (2021). Dispatched uses Na+ flux to power release of lipid-modified Hedgehog. Nature. 599(7884). 320–324. 18 indexed citations
8.
Arnold, William R., Daniel Asarnow, & Yifan Cheng. (2021). Classifying liganded states in heterogeneous single-particle cryo-EM datasets. Microscopy. 71(Supplement_1). i23–i29. 2 indexed citations
9.
Palovcak, Eugene, Daniel Asarnow, Melody G. Campbell, Zanlin Yu, & Yifan Cheng. (2020). Enhancing the signal-to-noise ratio and generating contrast for cryo-EM images with convolutional neural networks. IUCrJ. 7(6). 1142–1150. 21 indexed citations
10.
Dang, Shangyu, Daniel Asarnow, Yongqiang Wang, et al.. (2019). Structural insight into TRPV5 channel function and modulation. Proceedings of the National Academy of Sciences. 116(18). 8869–8878. 85 indexed citations
11.
Zhang, Yunxiao, David Bulkley, Yao Xin, et al.. (2018). Structural Basis for Cholesterol Transport-like Activity of the Hedgehog Receptor Patched. Cell. 175(5). 1352–1364.e14. 177 indexed citations
12.
Autzen, Henriette Elisabeth, Alexander Myasnikov, Melody G. Campbell, et al.. (2017). Structure of the human TRPM4 ion channel in a lipid nanodisc. Science. 359(6372). 228–232. 207 indexed citations breakdown →
13.
Asarnow, Daniel, Eugene Palovcak, Yuan Gao, David Julius, & Yifan Cheng. (2017). Ion Channel in Lipid Nanodisc By Single Particle Cryo-EM - Pushing The Technology Limit. Microscopy and Microanalysis. 23(S1). 822–823. 1 indexed citations
14.
Rojo‐Arreola, Liliana, Thavy Long, Daniel Asarnow, et al.. (2014). Chemical and Genetic Validation of the Statin Drug Target to Treat the Helminth Disease, Schistosomiasis. PLoS ONE. 9(1). e87594–e87594. 53 indexed citations
15.
Asarnow, Daniel & Rahul Singh. (2014). Automatic classification of protein structures using low-dimensional structure space mappings. BMC Bioinformatics. 15(S2). S1–S1. 1 indexed citations
16.
Asarnow, Daniel, Liliana Rojo‐Arreola, Brian M. Suzuki, Conor R. Caffrey, & Rahul Singh. (2014). The QDREC web server: determining dose–response characteristics of complex macroparasites in phenotypic drug screens. Bioinformatics. 31(9). 1515–1518. 12 indexed citations
17.
Asarnow, Daniel & Rahul Singh. (2013). Segmenting the Etiological Agent of Schistosomiasis for High-Content Screening. IEEE Transactions on Medical Imaging. 32(6). 1007–1018. 12 indexed citations
18.
Asarnow, Daniel & Rahul Singh. (2013). The impact of structural diversity and parameterization on maps of the protein universe. BMC Proceedings. 7(S7). S1–S1. 2 indexed citations
19.
Singh, Rahul, Hui Yang, Daniel Asarnow, et al.. (2013). Towards human-computer synergetic analysis of large-scale biological data. BMC Bioinformatics. 14(S14). S10–S10. 8 indexed citations
20.
Suzuki, Brian M., Daniel Asarnow, Steven Chen, et al.. (2012). Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis. BMC Genomics. 13(S1). S4–S4. 39 indexed citations

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.

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