Mona M. Salem

33 total papers · 681 total citations
23 papers, 494 citations indexed

About

Mona M. Salem is a scholar working on Nephrology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Mona M. Salem has authored 23 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nephrology, 9 papers in Surgery and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Mona M. Salem's work include Parathyroid Disorders and Treatments (12 papers), Pancreatitis Pathology and Treatment (6 papers) and Vitamin D Research Studies (6 papers). Mona M. Salem is often cited by papers focused on Parathyroid Disorders and Treatments (12 papers), Pancreatitis Pathology and Treatment (6 papers) and Vitamin D Research Studies (6 papers). Mona M. Salem collaborates with scholars based in Egypt, United States and Lebanon. Mona M. Salem's co-authors include Dina O. Abdulazim, Usama A. Sharaf El Din, M. M. Nasrallah, Tarek Fayad, Ahmed Soliman, Ahmed A. Heikal, Mohamed A. Marie, Olfat Shaker, Karim Soliman and Éva Csongrádi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Advanced Research and ˜The œNephron journals/Nephron journals.

In The Last Decade

Mona M. Salem

21 papers receiving 482 citations

Hit Papers

Uric acid in the pathogen... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Mona M. Salem 313 132 109 77 66 23 494
Dina O. Abdulazim 292 0.9× 127 1.0× 107 1.0× 76 1.0× 69 1.0× 27 470
Ming Jin 194 0.6× 128 1.0× 93 0.9× 66 0.9× 62 0.9× 20 440
Chun‐Wu Tung 228 0.7× 165 1.3× 63 0.6× 70 0.9× 82 1.2× 22 455
Porntip H. Lolekha 258 0.8× 121 0.9× 67 0.6× 99 1.3× 92 1.4× 27 478
Lukáš Pácal 84 0.3× 129 1.0× 90 0.8× 49 0.6× 49 0.7× 32 541
Qin Lv 222 0.7× 220 1.7× 134 1.2× 100 1.3× 60 0.9× 19 517
Thomas M. Kitzler 281 0.9× 89 0.7× 44 0.4× 46 0.6× 79 1.2× 30 469
Yongchun Ge 263 0.8× 129 1.0× 43 0.4× 55 0.7× 55 0.8× 34 523
Raoudha Slim 134 0.4× 77 0.6× 70 0.6× 58 0.8× 92 1.4× 26 489
Wenxiu Chang 266 0.8× 113 0.9× 84 0.8× 49 0.6× 108 1.6× 35 465

Countries citing papers authored by Mona M. Salem

Since Specialization
Citations

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

Fields of papers citing papers by Mona M. Salem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona M. Salem

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