Deema Rahme

32 total papers · 615 total citations
19 papers, 291 citations indexed

About

Deema Rahme is a scholar working on Applied Microbiology and Biotechnology, Epidemiology and Geriatrics and Gerontology. According to data from OpenAlex, Deema Rahme has authored 19 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Applied Microbiology and Biotechnology, 6 papers in Epidemiology and 5 papers in Geriatrics and Gerontology. Recurrent topics in Deema Rahme's work include Antibiotic Use and Resistance (7 papers), Pharmaceutical Practices and Patient Outcomes (5 papers) and Antibiotic Resistance in Bacteria (3 papers). Deema Rahme is often cited by papers focused on Antibiotic Use and Resistance (7 papers), Pharmaceutical Practices and Patient Outcomes (5 papers) and Antibiotic Resistance in Bacteria (3 papers). Deema Rahme collaborates with scholars based in Lebanon, Saudi Arabia and Jordan. Deema Rahme's co-authors include Hani M. J. Khojah, Samar Karout, Rania Itani, Lina Karout, Lama Soubra, Nathalie Lahoud, Nadine Saleh, Souheil Hallit, Patrick Maison and Pascale Salameh and has published in prestigious journals such as BMC Health Services Research, BMC Psychiatry and BMC Infectious Diseases.

In The Last Decade

Deema Rahme

17 papers receiving 283 citations

Hit Papers

Primary Dysmenorrhea: Pat... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Deema Rahme 159 45 44 43 41 19 291
Lama Soubra 148 0.9× 40 0.9× 44 1.0× 20 0.5× 6 0.1× 22 315
Vassiliki Gennimata 53 0.3× 17 0.4× 13 0.3× 72 1.7× 25 0.6× 16 297
Erenie Guirguis 23 0.1× 11 0.2× 23 0.5× 86 2.0× 12 0.3× 18 294
David E. Zimmerman 75 0.5× 34 0.8× 3 0.1× 66 1.5× 16 0.4× 30 297
Eyasu H. Tesfamariam 41 0.3× 21 0.5× 3 0.1× 56 1.3× 113 2.8× 32 319
Réka Viola 37 0.2× 19 0.4× 3 0.1× 44 1.0× 36 0.9× 37 255
Abubakr Abdelraouf Alfadl 70 0.4× 14 0.3× 6 0.1× 16 0.4× 80 2.0× 21 196
Urszula Cwalina 53 0.3× 8 0.2× 10 0.2× 21 0.5× 6 0.1× 32 316
Bojan Joksimović 28 0.2× 26 0.6× 4 0.1× 29 0.7× 28 0.7× 32 299
Jalal Kasouati 28 0.2× 20 0.4× 32 0.7× 40 0.9× 22 0.5× 29 277

Countries citing papers authored by Deema Rahme

Since Specialization
Citations

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

Fields of papers citing papers by Deema Rahme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deema Rahme

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