Saad Shakir

212 total papers · 7.7k total citations
148 papers, 4.9k citations indexed

About

Saad Shakir is a scholar working on Toxicology, Pharmacology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Saad Shakir has authored 148 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Toxicology, 33 papers in Pharmacology and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Saad Shakir's work include Pharmacovigilance and Adverse Drug Reactions (34 papers), Pharmaceutical studies and practices (21 papers) and Drug-Induced Adverse Reactions (13 papers). Saad Shakir is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (34 papers), Pharmaceutical studies and practices (21 papers) and Drug-Induced Adverse Reactions (13 papers). Saad Shakir collaborates with scholars based in United Kingdom, United States and Netherlands. Saad Shakir's co-authors include Lorna Hazell, Lynda V. Wilton, Deborah Layton, Lynda Wilton, A. Boshier, Adrienne Einarson, Pipasha Biswas, Emma Heeley, Gideon Koren and Victoria Cornelius and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Saad Shakir

139 papers receiving 4.6k citations

Hit Papers

Under-Reporting of Advers... 2006 2026 2012 2019 2006 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Saad Shakir 1.7k 1.0k 867 651 646 148 4.9k
Gianluca Trifirò 1.3k 0.8× 986 0.9× 817 0.9× 794 1.2× 446 0.7× 268 6.9k
Eugène van Puijenbroek 2.4k 1.4× 816 0.8× 1.0k 1.2× 353 0.5× 472 0.7× 248 4.8k
Ulf Bergman 539 0.3× 1.0k 1.0× 843 1.0× 949 1.5× 759 1.2× 178 6.6k
Alexandre Pariente 1.2k 0.7× 422 0.4× 977 1.1× 1.1k 1.7× 401 0.6× 296 8.0k
Staffan Hägg 722 0.4× 624 0.6× 388 0.4× 876 1.3× 363 0.6× 99 3.8k
Annie Fourrier‐Réglat 912 0.5× 361 0.3× 794 0.9× 528 0.8× 252 0.4× 126 3.7k
Ron M. C. Herings 566 0.3× 676 0.6× 1.0k 1.2× 802 1.2× 518 0.8× 247 8.3k
Maryse Lapeyre‐Mestre 1.4k 0.8× 1.4k 1.4× 1.3k 1.5× 1.2k 1.9× 1.6k 2.5× 436 9.0k
Bernard Bégaud 562 0.3× 452 0.4× 1.1k 1.3× 1.3k 2.0× 356 0.6× 179 6.8k
Johan Ahlner 1.0k 0.6× 385 0.4× 875 1.0× 638 1.0× 611 0.9× 171 4.9k

Countries citing papers authored by Saad Shakir

Since Specialization
Citations

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

Fields of papers citing papers by Saad Shakir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Shakir

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