Fadia Kamal

63 total papers · 2.6k total citations
32 papers, 2.0k citations indexed

About

Fadia Kamal is a scholar working on Molecular Biology, Rheumatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fadia Kamal has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Rheumatology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fadia Kamal's work include Osteoarthritis Treatment and Mechanisms (10 papers), Receptor Mechanisms and Signaling (5 papers) and Cardiac Fibrosis and Remodeling (4 papers). Fadia Kamal is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (10 papers), Receptor Mechanisms and Signaling (5 papers) and Cardiac Fibrosis and Remodeling (4 papers). Fadia Kamal collaborates with scholars based in United States, Japan and United Kingdom. Fadia Kamal's co-authors include Burns C. Blaxall, Joshua G. Travers, Katherine E. Yutzey, Jeffrey Robbins, Michael J. Zuscik, Reyad A. Elbarbary, Vengadeshprabhu Karuppagounder, John Ketz, İbrahim T. Özbolat and Eric M. Schott and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Circulation Research.

In The Last Decade

Fadia Kamal

32 papers receiving 2.0k citations

Hit Papers

Cardiac Fibrosis 2016 2026 2019 2022 2016 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Fadia Kamal 958 870 358 258 252 32 2.0k
Lisandra E. de Castro Brás 793 0.8× 805 0.9× 383 1.1× 106 0.4× 295 1.2× 44 1.9k
M Eghbali 1.2k 1.3× 990 1.1× 482 1.3× 106 0.4× 239 0.9× 31 2.5k
Catherine Communal 1.3k 1.4× 1.6k 1.9× 278 0.8× 168 0.7× 157 0.6× 21 2.8k
Kai Hu 746 0.8× 1.1k 1.2× 249 0.7× 106 0.4× 169 0.7× 69 2.3k
Diana Lindner 1.5k 1.6× 960 1.1× 388 1.1× 104 0.4× 302 1.2× 63 2.9k
Soeun Ngoy 1.1k 1.1× 1.1k 1.2× 623 1.7× 135 0.5× 153 0.6× 31 2.2k
Jill E. Bishop 627 0.7× 798 0.9× 489 1.4× 105 0.4× 220 0.9× 42 3.0k
Christen P. Dahl 935 1.0× 1.2k 1.4× 475 1.3× 102 0.4× 188 0.7× 54 2.3k
Arti V. Shinde 996 1.0× 895 1.0× 431 1.2× 69 0.3× 284 1.1× 26 2.1k
Davy Vanhoutte 930 1.0× 940 1.1× 373 1.0× 118 0.5× 285 1.1× 33 2.0k

Countries citing papers authored by Fadia Kamal

Since Specialization
Citations

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

Fields of papers citing papers by Fadia Kamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadia Kamal

This figure shows the co-authorship network connecting the top 25 collaborators of Fadia Kamal. A scholar is included among the top collaborators of Fadia Kamal 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 Fadia Kamal. Fadia Kamal 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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