Anas M. Saad

243 total papers · 7.3k total citations
120 papers, 2.0k citations indexed

About

Anas M. Saad is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Oncology. According to data from OpenAlex, Anas M. Saad has authored 120 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cardiology and Cardiovascular Medicine, 48 papers in Epidemiology and 34 papers in Oncology. Recurrent topics in Anas M. Saad's work include Cardiac Valve Diseases and Treatments (35 papers), Infective Endocarditis Diagnosis and Management (29 papers) and Aortic Disease and Treatment Approaches (12 papers). Anas M. Saad is often cited by papers focused on Cardiac Valve Diseases and Treatments (35 papers), Infective Endocarditis Diagnosis and Management (29 papers) and Aortic Disease and Treatment Approaches (12 papers). Anas M. Saad collaborates with scholars based in United States, Egypt and Syria. Anas M. Saad's co-authors include Muneer J. Al‐Husseini, Mohamed M. Gad, Omar Abdel‐Rahman, Mohamad Bassam Sonbol, Tarek Turk, Firas Baidoun, Ahmed Afifi, George Khoudari, Zahi Merjaneh and Muhammad Talal Sarmini and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Anas M. Saad

113 papers receiving 2.0k citations

Hit Papers

Colorectal Cancer Epidemi... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Anas M. Saad 715 557 478 395 370 120 2.0k
Uğur Çoşkun 862 1.2× 556 1.0× 335 0.7× 289 0.7× 535 1.4× 174 2.3k
Ladislav Pecen 552 0.8× 711 1.3× 424 0.9× 765 1.9× 245 0.7× 132 2.5k
Hajime Fujimoto 398 0.6× 742 1.3× 584 1.2× 223 0.6× 347 0.9× 145 2.2k
Maddalena Barba 914 1.3× 470 0.8× 429 0.9× 829 2.1× 522 1.4× 118 3.3k
Bee‐Choo Tai 537 0.8× 771 1.4× 732 1.5× 247 0.6× 376 1.0× 65 2.7k
Andrea Imperatori 507 0.7× 801 1.4× 415 0.9× 213 0.5× 392 1.1× 117 2.2k
Dimitrios Dimitroulis 505 0.7× 534 1.0× 998 2.1× 287 0.7× 713 1.9× 175 2.7k
Codruța Chiuzan 963 1.3× 748 1.3× 526 1.1× 414 1.0× 582 1.6× 79 2.3k
Gernot Beutel 607 0.8× 432 0.8× 481 1.0× 329 0.8× 635 1.7× 79 2.9k
Niels Nygaard Rossing 397 0.6× 497 0.9× 482 1.0× 214 0.5× 315 0.9× 98 2.5k

Countries citing papers authored by Anas M. Saad

Since Specialization
Citations

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

Fields of papers citing papers by Anas M. Saad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anas M. Saad. 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 Anas M. Saad. The network helps show where Anas M. Saad may publish in the future.

Co-authorship network of co-authors of Anas M. Saad

This figure shows the co-authorship network connecting the top 25 collaborators of Anas M. Saad. A scholar is included among the top collaborators of Anas M. Saad 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 Anas M. Saad. Anas M. Saad 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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