Anna Sher

688 citations
23 papers · 506 indexed · h-index 10

Anna Sher

21 papers receiving 496 citations

Peers

Anna Sher
Comparison fields: 5 of 93
  • Electrochemistry 95
  • Cardiology and Cardiovascular Medicine 294
  • Bioengineering 44
  • Molecular Biology 249
  • Computational Theory and Mathematics 53
Replace Jennifer Pierson with:
Jennifer Pierson United States
Oliver J. Britton United Kingdom
Lucía Romero Spain
James Kramer United States
David J. Gallacher Belgium
Karel Van Ammel Belgium
Ross H. Johnstone United Kingdom
Kylie A. Beattie United Kingdom
An N. Hermans Belgium
Kevin R. DeMarco United States
Anna Sher relative to Jennifer Pierson United States Jennifer Pierson's profile →
Citations per field
00.5×8.8×
Jennifer Pierson · 1×
Citations per year

Countries citing papers authored by Anna Sher

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anna Sher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Sher Line = papers co-authored together Anna Sher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20246
5 202228
6 20229
7 20224
8 20218
9 202014
10 202020
11 20186
12 20181
13 2011242
14 201112
15 20102
16 20102
17 20106
18 201011
19 200731
20 20076

About Anna Sher

Anna Sher is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Modeling and Simulation, Electrochemistry and Small Animals, having authored 23 papers that have together received 506 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (7 papers), Receptor Mechanisms and Signaling (5 papers), Statistical Methods in Clinical Trials (4 papers), Computational Drug Discovery Methods (3 papers), Gene Regulatory Network Analysis (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Electrochemistry (95 citations), Cardiology and Cardiovascular Medicine (294 citations), Bioengineering (44 citations), Molecular Biology (249 citations) and Computational Theory and Mathematics (53 citations). Anna Sher has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David J. Gavaghan, Denis Noble, Gary R. Mirams, Bronagh Heath, Nick McMahon, Martin Fink, Jonathan Cooper, Yi Cui, Jie Zhang and Si‐Xuan Guo. Their work appears in journals such as Progress in Biophysics and Molecular Biology, CPT Pharmacometrics & Systems Pharmacology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Molecular and Cellular Cardiology and Analytical Chemistry.

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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