Rachel Hajar

110 total papers · 2.0k total citations
63 papers, 1.2k citations indexed

About

Rachel Hajar is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rachel Hajar has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 15 papers in Cardiology and Cardiovascular Medicine and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rachel Hajar's work include Lipoproteins and Cardiovascular Health (7 papers), Empathy and Medical Education (7 papers) and History of Medicine Studies (6 papers). Rachel Hajar is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Empathy and Medical Education (7 papers) and History of Medicine Studies (6 papers). Rachel Hajar collaborates with scholars based in Qatar, United States and Spain. Rachel Hajar's co-authors include Gordon M. Folger, Ahmed Mahfouz, Katafan Achkar, Andrej Robida, William C. Roberts, Sherif Helmy, Fausto J. Pinto, Chu‐Pak Lau, Rashid Mazhar and Rungroj Krittayaphong and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and Heart.

In The Last Decade

Rachel Hajar

55 papers receiving 1.1k citations

Hit Papers

Risk factors for coronary... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Rachel Hajar 332 228 205 153 142 63 1.2k
Alexander C. Razavi 305 0.9× 248 1.1× 198 1.0× 174 1.1× 88 0.6× 107 1.0k
Yuji Nishizaki 256 0.8× 194 0.9× 185 0.9× 122 0.8× 114 0.8× 149 1.2k
Sudhir Mehta 343 1.0× 252 1.1× 144 0.7× 97 0.6× 273 1.9× 87 1.3k
Martin Risch 324 1.0× 124 0.5× 78 0.4× 166 1.1× 174 1.2× 97 1.3k
Saeed Sadeghian 485 1.5× 243 1.1× 85 0.4× 94 0.6× 90 0.6× 100 1.0k
Zdenko Sonicki 244 0.7× 318 1.4× 191 0.9× 62 0.4× 138 1.0× 69 1.0k
Young Sik Kim 157 0.5× 334 1.5× 133 0.6× 148 1.0× 245 1.7× 119 1.4k
Hena Patel 728 2.2× 234 1.0× 249 1.2× 59 0.4× 108 0.8× 39 1.3k
Jina Choo 432 1.3× 128 0.6× 321 1.6× 47 0.3× 124 0.9× 105 1.4k
Ruby Gupta 233 0.7× 136 0.6× 244 1.2× 70 0.5× 135 1.0× 81 1.2k

Countries citing papers authored by Rachel Hajar

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Hajar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Hajar

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