Sally Esmail

497 total citations
12 papers, 257 citations indexed

About

Sally Esmail is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Sally Esmail has authored 12 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Immunology. Recurrent topics in Sally Esmail's work include SARS-CoV-2 and COVID-19 Research (4 papers), CRISPR and Genetic Engineering (3 papers) and ATP Synthase and ATPases Research (3 papers). Sally Esmail is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), CRISPR and Genetic Engineering (3 papers) and ATP Synthase and ATPases Research (3 papers). Sally Esmail collaborates with scholars based in Canada and Myanmar. Sally Esmail's co-authors include Morris F. Manolson, Wayne R. Danter, Norbert Kartner, Reinhart A.F. Reithmeier, Yeqi Yao, Jing Li, Suzanne Ackloo, Lori E. Lowes, Almagul Seitova and Shawn S.‐C. Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Cellular Biochemistry and FEBS Journal.

In The Last Decade

Sally Esmail

12 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sally Esmail Canada 8 179 51 32 25 23 12 257
Matti F. Pronker Netherlands 10 216 1.2× 42 0.8× 27 0.8× 15 0.6× 28 1.2× 17 337
Ingrid Almlöf Sweden 11 156 0.9× 42 0.8× 17 0.5× 9 0.4× 34 1.5× 14 245
Kyoko Kojima‐Aikawa Japan 12 221 1.2× 88 1.7× 39 1.2× 23 0.9× 35 1.5× 21 328
Zhihe Kuang Australia 10 298 1.7× 79 1.5× 26 0.8× 41 1.6× 31 1.3× 18 393
Simone Schleeger Switzerland 6 216 1.2× 64 1.3× 13 0.4× 38 1.5× 46 2.0× 6 337
Mathieu Neault Canada 9 243 1.4× 43 0.8× 64 2.0× 42 1.7× 14 0.6× 11 343
Thi Nhu Ngoc Van France 11 175 1.0× 40 0.8× 26 0.8× 30 1.2× 51 2.2× 16 284
Elliot R. Thomsen United States 5 176 1.0× 25 0.5× 9 0.3× 8 0.3× 24 1.0× 5 261
Yuqi Zhu China 8 225 1.3× 59 1.2× 28 0.9× 23 0.9× 38 1.7× 21 291
Tamas Yelland United Kingdom 11 156 0.9× 38 0.7× 10 0.3× 17 0.7× 59 2.6× 16 234

Countries citing papers authored by Sally Esmail

Since Specialization
Citations

This map shows the geographic impact of Sally Esmail'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 Sally Esmail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally Esmail more than expected).

Fields of papers citing papers by Sally Esmail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally Esmail. 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 Sally Esmail. The network helps show where Sally Esmail may publish in the future.

Co-authorship network of co-authors of Sally Esmail

This figure shows the co-authorship network connecting the top 25 collaborators of Sally Esmail. A scholar is included among the top collaborators of Sally Esmail 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 Sally Esmail. Sally Esmail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Esmail, Sally & Wayne R. Danter. (2021). NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression. Frontiers in Aging Neuroscience. 13. 643889–643889. 10 indexed citations
2.
Esmail, Sally & Wayne R. Danter. (2021). Lung organoid simulations for modelling and predicting the effect of mutations on SARS-CoV-2 infectivity. Computational and Structural Biotechnology Journal. 19. 1701–1712. 3 indexed citations
3.
Esmail, Sally, Michael J. Knauer, Courtney Voss, et al.. (2021). Rapid and accurate agglutination-based testing for SARS-CoV-2 antibodies. Cell Reports Methods. 1(2). 100011–100011. 11 indexed citations
4.
Esmail, Sally & Morris F. Manolson. (2021). Advances in understanding N-glycosylation structure, function, and regulation in health and disease. European Journal of Cell Biology. 100(7-8). 151186–151186. 145 indexed citations
6.
8.
Esmail, Sally & Wayne R. Danter. (2020). Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing. Stem Cells Translational Medicine. 10(2). 239–250. 20 indexed citations
10.
Esmail, Sally, et al.. (2018). Molecular mechanisms of cutis laxa– and distal renal tubular acidosis–causing mutations in V-ATPase a subunits, ATP6V0A2 and ATP6V0A4. Journal of Biological Chemistry. 293(8). 2787–2800. 20 indexed citations
11.
Esmail, Sally, et al.. (2017). N‐linked glycosylation of a subunit isoforms is critical for vertebrate vacuolar H+‐ATPase (V‐ATPase) biosynthesis. Journal of Cellular Biochemistry. 119(1). 861–875. 10 indexed citations
12.
Esmail, Sally, Yeqi Yao, Norbert Kartner, et al.. (2016). N‐Linked Glycosylation Is Required for Vacuolar H+‐ATPase (V‐ATPase) a4 Subunit Stability, Assembly, and Cell Surface Expression. Journal of Cellular Biochemistry. 117(12). 2757–2768. 15 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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