Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein
20205.9k citationsAlexandra C. Walls, Young‐Jun Park et al.Cellprofile →
Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding
20201.1k citationsTyler N. Starr, Allison J. Greaney et al.Cellprofile →
Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein
2020697 citationsAlexandra C. Walls, Young‐Jun Park et al.Cellprofile →
De novo design of picomolar SARS-CoV-2 miniprotein inhibitors
2020451 citationsLongxing Cao, Inna Goreshnik et al.Scienceprofile →
Structural basis for human coronavirus attachment to sialic acid receptors
2019419 citationsM. Alejandra Tortorici, Alexandra C. Walls et al.Nature Structural & Molecular Biologyprofile →
Cryo-electron microscopy structure of a coronavirus spike glycoprotein trimer
2016386 citationsAlexandra C. Walls, M. Alejandra Tortorici et al.Natureprofile →
Tectonic conformational changes of a coronavirus spike glycoprotein promote membrane fusion
2017372 citationsAlexandra C. Walls, M. Alejandra Tortorici et al.profile →
Unexpected Receptor Functional Mimicry Elucidates Activation of Coronavirus Fusion
2019370 citationsAlexandra C. Walls, Xiaoli Xiong et al.Cellprofile →
Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagement
2022311 citationsMatthew McCallum, Nadine Czudnochowski et al.Scienceprofile →
Glycan shield and epitope masking of a coronavirus spike protein observed by cryo-electron microscopy
2016306 citationsAlexandra C. Walls, M. Alejandra Tortorici et al.Nature Structural & Molecular Biologyprofile →
ACE2 binding is an ancestral and evolvable trait of sarbecoviruses
2022108 citationsTyler N. Starr, Samantha K. Zepeda et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Alexandra C. Walls
Since
Specialization
Citations
This map shows the geographic impact of Alexandra C. Walls'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 Alexandra C. Walls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra C. Walls more than expected).
Fields of papers citing papers by Alexandra C. Walls
This network shows the impact of papers produced by Alexandra C. Walls. 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 Alexandra C. Walls. The network helps show where Alexandra C. Walls may publish in the future.
Co-authorship network of co-authors of Alexandra C. Walls
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra C. Walls.
A scholar is included among the top collaborators of Alexandra C. Walls 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 Alexandra C. Walls. Alexandra C. Walls is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McCallum, Matthew, Nadine Czudnochowski, Laura E. Rosen, et al.. (2022). Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagement. Science. 375(6583). 864–868.311 indexed citations breakdown →
3.
Starr, Tyler N., Samantha K. Zepeda, Alexandra C. Walls, et al.. (2022). ACE2 binding is an ancestral and evolvable trait of sarbecoviruses. Nature. 603(7903). 913–918.108 indexed citations breakdown →
Cao, Longxing, Inna Goreshnik, Brian Coventry, et al.. (2020). De novo design of picomolar SARS-CoV-2 miniprotein inhibitors. Science. 370(6515). 426–431.451 indexed citations breakdown →
Walls, Alexandra C., Young‐Jun Park, M. Alejandra Tortorici, et al.. (2020). Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein. Cell. 181(2). 281–292.e6.5918 indexed citations breakdown →
12.
Starr, Tyler N., Allison J. Greaney, Sarah K. Hilton, et al.. (2020). Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding. Cell. 182(5). 1295–1310.e20.1130 indexed citations breakdown →
13.
Walls, Alexandra C., Xiaoli Xiong, Young‐Jun Park, et al.. (2019). Unexpected Receptor Functional Mimicry Elucidates Activation of Coronavirus Fusion. Cell. 176(5). 1026–1039.e15.370 indexed citations breakdown →
Tortorici, M. Alejandra, Alexandra C. Walls, Yifei Lang, et al.. (2019). Structural basis for human coronavirus attachment to sialic acid receptors. Nature Structural & Molecular Biology. 26(6). 481–489.419 indexed citations breakdown →
Walls, Alexandra C., M. Alejandra Tortorici, Brandon Frenz, et al.. (2016). Glycan shield and epitope masking of a coronavirus spike protein observed by cryo-electron microscopy. Nature Structural & Molecular Biology. 23(10). 899–905.306 indexed citations breakdown →
19.
Walls, Alexandra C., M. Alejandra Tortorici, Berend‐Jan Bosch, et al.. (2016). Cryo-electron microscopy structure of a coronavirus spike glycoprotein trimer. Nature. 531(7592). 114–117.386 indexed citations breakdown →
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.