Rana Malek

72 total papers · 1.4k total citations
40 papers, 1.0k citations indexed

About

Rana Malek is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Rana Malek has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 8 papers in Genetics. Recurrent topics in Rana Malek's work include Diabetes Management and Research (8 papers), Diabetes Treatment and Management (7 papers) and Diabetes and associated disorders (6 papers). Rana Malek is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes Treatment and Management (7 papers) and Diabetes and associated disorders (6 papers). Rana Malek collaborates with scholars based in United States, United Kingdom and Sint Maarten. Rana Malek's co-authors include Monica C. Skarulis, Stephen N. Davis, Anne E. Sumner, Scott Lonning, Elizabeth C. Wright, Oksana Gavrilova, Celia Quijano, Weiping Chen, Hariom Yadav and Patricia M. Zerfas and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

Rana Malek

34 papers receiving 1.0k citations

Hit Papers

Protection from Obesity a... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Rana Malek 378 354 254 237 154 40 1.0k
Guangda Xiang 366 1.0× 428 1.2× 220 0.9× 128 0.5× 129 0.8× 47 1.1k
Koon Soon Kim 407 1.1× 443 1.3× 227 0.9× 208 0.9× 86 0.6× 48 1.2k
Anette Bachmann 306 0.8× 484 1.4× 308 1.2× 156 0.7× 103 0.7× 35 1.2k
Shiro Fukuda 282 0.7× 421 1.2× 330 1.3× 130 0.5× 137 0.9× 57 1.1k
Marjorie Poggi 322 0.9× 367 1.0× 484 1.9× 104 0.4× 111 0.7× 29 1.2k
Zhelong Liu 388 1.0× 398 1.1× 125 0.5× 187 0.8× 105 0.7× 45 1.1k
Sandra Romero‐Hidalgo 181 0.5× 243 0.7× 179 0.7× 146 0.6× 177 1.1× 39 836
Yuya Fujishima 335 0.9× 439 1.2× 406 1.6× 190 0.8× 170 1.1× 49 1.2k
Richard Reneland 172 0.5× 355 1.0× 154 0.6× 206 0.9× 155 1.0× 29 929
Emily K. Anderson‐Baucum 243 0.6× 254 0.7× 222 0.9× 121 0.5× 157 1.0× 22 832

Countries citing papers authored by Rana Malek

Since Specialization
Citations

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

Fields of papers citing papers by Rana Malek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rana Malek

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