Aziza El Harchi

1.3k citations
37 papers · 959 · h-index 19

Impact in

Papers in

Aziza El Harchi

36 papers receiving 941 citations

Peers

Aziza El Harchi
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 765
  • Cellular and Molecular Neuroscience 187
  • Molecular Biology 639
  • Electrochemistry 27
  • Computational Theory and Mathematics 58
Replace Mark J. Perrin with:
Mark J. Perrin Australia
Mark J. McPate United Kingdom
Karel Van Ammel Belgium
Bérengère Dumotier Switzerland
James T. Milnes United Kingdom
Chris Pollard United Kingdom
Jiqing Guo Canada
Jeffrey Fish United States
Jane A. Bursill Australia
Aziza El Harchi relative to Mark J. Perrin Australia Mark J. Perrin's profile →
Citations per field
00.5×1.5×
Mark J. Perrin · 1×
Citations per year

Countries citing papers authored by Aziza El Harchi

Since Specialization
Citations

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

Fields of papers citing papers by Aziza El Harchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aziza El Harchi. 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 Aziza El Harchi. The network helps show where Aziza El Harchi may publish in the future.

Co-authors

The 25 scholars most cited alongside Aziza El Harchi, 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 Aziza El Harchi Line = papers co-authored together Aziza El Harchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008229
2 201567
3 201548
4 200846
5 201444
6 201244
7 201840
8 201638
9 201135
10 200433
11 200932
12 201130
13 201028
14 201724
15 200923
16 202020
17 201718
18 201218
19 201318
20 201116

About Aziza El Harchi

Aziza El Harchi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases and Computational Theory and Mathematics, having authored 37 papers that have together received 959 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (36 papers), Ion channel regulation and function (26 papers), Neuroscience and Neural Engineering (8 papers), Receptor Mechanisms and Signaling (8 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Neuroscience and Neuropharmacology Research (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (765 citations), Cellular and Molecular Neuroscience (187 citations), Molecular Biology (639 citations), Electrochemistry (27 citations) and Computational Theory and Mathematics (58 citations). Aziza El Harchi has collaborated with scholars based in United Kingdom, France and China. Frequent co-authors include Jules C. Hancox, Yihong Zhang, Mark J. McPate, Christopher E. Dempsey, Henggui Zhang, Dario Melgari, Chunyun Du, Ismail Adeniran, Clive H. Orchard and Hongwei Cheng. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Biophysical Journal, Cardiovascular Research, Journal of Cardiovascular Electrophysiology and Scientific Reports.

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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