Amal Aqul

27 total papers · 459 total citations
13 papers, 283 citations indexed

About

Amal Aqul is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Amal Aqul has authored 13 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Amal Aqul's work include Lysosomal Storage Disorders Research (4 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). Amal Aqul is often cited by papers focused on Lysosomal Storage Disorders Research (4 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). Amal Aqul collaborates with scholars based in United States, Canada and Iran. Amal Aqul's co-authors include Becky Liu, Joyce J. Repa, Dennis K. Burns, S D Turley, John Dietschy, Andrew A. Pieper, Cristina M. Ramírez, Sandi Jo Estill, Stephen D. Turley and Anna M. Taylor and has published in prestigious journals such as Journal of Neuroscience, Journal of Lipid Research and The Journal of Pediatrics.

In The Last Decade

Amal Aqul

10 papers receiving 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amal Aqul 169 75 72 52 51 13 283
Susanne Theiß 111 0.7× 121 1.6× 42 0.6× 40 0.8× 24 0.5× 13 274
Rosaria Buccoliero 131 0.8× 163 2.2× 23 0.3× 17 0.3× 37 0.7× 15 312
Line Borgwardt 126 0.7× 77 1.0× 12 0.2× 39 0.8× 57 1.1× 22 261
Sandra Obikawa Kyosen 240 1.4× 40 0.5× 16 0.2× 45 0.9× 93 1.8× 20 293
William R. Leahy 197 1.2× 77 1.0× 25 0.3× 59 1.1× 82 1.6× 9 313
Natan Brand 89 0.5× 109 1.5× 17 0.2× 25 0.5× 55 1.1× 14 319
Manuela Nascimento de Lemos 237 1.4× 35 0.5× 12 0.2× 67 1.3× 122 2.4× 10 295
Zsuzsanna Almássy 132 0.8× 54 0.7× 25 0.3× 23 0.4× 71 1.4× 15 285
D. David Pifer 67 0.4× 169 2.3× 18 0.3× 15 0.3× 42 0.8× 15 331
Federica Todaro 56 0.3× 130 1.7× 29 0.4× 14 0.3× 25 0.5× 19 315

Countries citing papers authored by Amal Aqul

Since Specialization
Citations

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

Fields of papers citing papers by Amal Aqul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amal Aqul

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

All Works

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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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