Rachid Massaad

53 total papers · 1.2k total citations
38 papers, 751 citations indexed

About

Rachid Massaad is a scholar working on Surgery, Economics and Econometrics and Computational Theory and Mathematics. According to data from OpenAlex, Rachid Massaad has authored 38 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 16 papers in Economics and Econometrics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Rachid Massaad's work include Lipoproteins and Cardiovascular Health (18 papers), Pharmaceutical Economics and Policy (15 papers) and Computational Drug Discovery Methods (8 papers). Rachid Massaad is often cited by papers focused on Lipoproteins and Cardiovascular Health (18 papers), Pharmaceutical Economics and Policy (15 papers) and Computational Drug Discovery Methods (8 papers). Rachid Massaad collaborates with scholars based in United States, Belgium and Spain. Rachid Massaad's co-authors include Amy O. Johnson‐Levonas, Christopher Allen, Michael J. Davies, K. Vandormael, Michel Farnier, Philippe Brudi, Robert S. Lowe, Christine McCrary Sisk, Shahnaz Shahinfar and Thomas G. Wells and has published in prestigious journals such as Journal of the American College of Cardiology, Kidney International and The American Journal of Cardiology.

In The Last Decade

Rachid Massaad

37 papers receiving 715 citations

Author Peers

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

Author Last Decade Papers Cites
Rachid Massaad 447 215 161 151 133 38 751
Maxine D. Fisher 202 0.5× 125 0.6× 77 0.5× 145 1.0× 107 0.8× 52 742
Elisavet Moutzouri 282 0.6× 98 0.5× 86 0.5× 400 2.6× 142 1.1× 48 855
Neil Hounslow 602 1.3× 167 0.8× 206 1.3× 304 2.0× 148 1.1× 35 857
Michael J. Blaha 508 1.1× 94 0.4× 127 0.8× 346 2.3× 210 1.6× 42 867
Iacopo Cricelli 123 0.3× 98 0.5× 28 0.2× 110 0.7× 96 0.7× 42 821
Yoichi Ogushi 231 0.5× 51 0.2× 60 0.4× 161 1.1× 108 0.8× 36 678
Sophie Béliard 372 0.8× 43 0.2× 111 0.7× 252 1.7× 211 1.6× 53 776
D. Sommariva 297 0.7× 49 0.2× 163 1.0× 264 1.7× 101 0.8× 51 716
Lyn D Ferguson 205 0.5× 48 0.2× 46 0.3× 199 1.3× 133 1.0× 36 824
Lina Kang 289 0.6× 93 0.4× 50 0.3× 136 0.9× 179 1.3× 43 746

Countries citing papers authored by Rachid Massaad

Since Specialization
Citations

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

Fields of papers citing papers by Rachid Massaad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachid Massaad

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