Mona Elsafadi

681 citations
25 papers · 480 · h-index 14

Impact in

Papers in

    • TGF-β signaling in diseases 6
    • Pluripotent Stem Cells Research 5
    • Renal and related cancers 3
    • Bone Metabolism and Diseases 3
    • Mesenchymal stem cell research 7

Mona Elsafadi

23 papers receiving 476 citations

Peers

Mona Elsafadi
Comparison fields: 5 of 93
  • Genetics 81
  • Cancer Research 87
  • Oral Surgery 37
  • Reproductive Medicine 38
  • Molecular Biology 240
Replace Andia N. Redpath with:
Andia N. Redpath United Kingdom
Xiao-Rong An China
Catia Bellucci Italy
Frank M. Riemers Netherlands
Katarzyna Stefańska Poland
Jung-Woo Kim South Korea
Manish V. Bais United States
Tsouria Berbar France
Riccardo Villa Italy
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Citations per field
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Citations per year

Countries citing papers authored by Mona Elsafadi

Since Specialization
Citations

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

Fields of papers citing papers by Mona Elsafadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mona Elsafadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mona Elsafadi Line = papers co-authored together Mona Elsafadi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201947
3 201641
4 202038
5 201734
6 201832
7 201429
8 201824
9 201722
10 201921
11 201918
12 201816
13 201214
14 201314
15 201713
16 20225
17 20214
18 20184
19 20143
20 20193

About Mona Elsafadi

Mona Elsafadi is a scholar working on Molecular Biology, Genetics, Oncology, Oral Surgery and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 480 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), TGF-β signaling in diseases (6 papers), Endodontics and Root Canal Treatments (5 papers), Pluripotent Stem Cells Research (5 papers), Renal and related cancers (3 papers), Reproductive Biology and Fertility (3 papers), Bone Metabolism and Diseases (3 papers) and Bee Products Chemical Analysis (2 papers). The work is most often cited by research in Genetics (81 citations), Cancer Research (87 citations), Oral Surgery (37 citations), Reproductive Medicine (38 citations) and Molecular Biology (240 citations). Mona Elsafadi has collaborated with scholars based in Saudi Arabia, Egypt and Denmark. Frequent co-authors include Amer Mahmood, Musaad Alfayez, Abdullah Aldahmash, Moustapha Kassem, Muthurangan Manikandan, Nehad M. Alajez, Raed Abu Dawud, Abdullah N. Alowaimer, Islam M. Saadeldin and Ayman A. Swelum. Their work appears in journals such as Scientific Reports, Cell Death and Disease, Journal of Dental Sciences, Cellular Reprogramming and Differentiation.

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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