Dina Raafat

2.5k total citations · 2 hit papers
23 papers, 1.8k citations indexed

About

Dina Raafat is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Dina Raafat has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Dina Raafat's work include Antimicrobial Peptides and Activities (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Bacterial biofilms and quorum sensing (5 papers). Dina Raafat is often cited by papers focused on Antimicrobial Peptides and Activities (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Bacterial biofilms and quorum sensing (5 papers). Dina Raafat collaborates with scholars based in Germany, Egypt and United States. Dina Raafat's co-authors include Hans‐Georg Sahl, Kristine von Bargen, Albert Haas, Silva Holtfreter, Amal H. El‐Kamel, Hanan M. El‐Gowelli, Michaël Otto, Daniel M. Mrochen, Youping Sun and Caterina Bianco and has published in prestigious journals such as Applied and Environmental Microbiology, Oncogene and Journal of Cell Science.

In The Last Decade

Dina Raafat

22 papers receiving 1.7k citations

Hit Papers

Chitosan and its antimicr... 2008 2026 2014 2020 2009 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dina Raafat Germany 13 798 429 376 277 219 23 1.8k
Cornelia Wiegand Germany 32 755 0.9× 385 0.9× 356 0.9× 129 0.5× 334 1.5× 122 3.0k
Randy Chi Fai Cheung Hong Kong 19 563 0.7× 951 2.2× 181 0.5× 176 0.6× 300 1.4× 35 2.4k
Jonathan Rhoades Greece 17 1.0k 1.3× 428 1.0× 384 1.0× 926 3.3× 207 0.9× 29 2.2k
Gracia Mendoza Spain 29 660 0.8× 648 1.5× 203 0.5× 201 0.7× 673 3.1× 83 2.4k
Vishnu Agarwal India 17 422 0.5× 457 1.1× 117 0.3× 252 0.9× 292 1.3× 80 1.6k
Freni K. Tavaria Portugal 29 554 0.7× 727 1.7× 267 0.7× 924 3.3× 217 1.0× 84 2.5k
Xia Jiang China 12 974 1.2× 270 0.6× 347 0.9× 196 0.7× 411 1.9× 31 2.0k
Antonella Piozzi Italy 31 745 0.9× 736 1.7× 803 2.1× 111 0.4× 535 2.4× 117 2.9k
Rejane Celi Goy Brazil 5 1.0k 1.3× 218 0.5× 350 0.9× 246 0.9× 232 1.1× 6 1.7k
Katja E. Hill United Kingdom 30 427 0.5× 1.3k 3.0× 320 0.9× 220 0.8× 355 1.6× 60 3.4k

Countries citing papers authored by Dina Raafat

Since Specialization
Citations

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

Fields of papers citing papers by Dina Raafat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Raafat

This figure shows the co-authorship network connecting the top 25 collaborators of Dina Raafat. A scholar is included among the top collaborators of Dina Raafat 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 Dina Raafat. Dina Raafat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rottman, Martin, Adam M. Gordon, Túlio de Lima Campos, et al.. (2025). 2025 ICM: Sample Collection and Agent Identification. The Journal of Arthroplasty. 41(1). S157–S163.
2.
Bondt, Albert, Dina Raafat, Silva Holtfreter, et al.. (2025). Persistent IgG1 clones dominate and personalize the plasma antibody repertoire. Science Advances. 11(16). eadt7746–eadt7746. 1 indexed citations
3.
Rose, Ruben, Andi Krumbholz, Stephan Michalik, et al.. (2024). Non-cross-reactive epitopes dominate the humoral immune response to COVID-19 vaccination – kinetics of plasma antibodies, plasmablasts and memory B cells. Frontiers in Immunology. 15. 1382911–1382911. 8 indexed citations
4.
Neef, Jolanda, Erin E. Zwack, Chih‐Ming Tsai, et al.. (2023). TLR4 sensing of IsdB of Staphylococcus aureus induces a proinflammatory cytokine response via the NLRP3-caspase-1 inflammasome cascade. mBio. 15(1). e0022523–e0022523. 9 indexed citations
5.
Silva, Filo, Beate Fehlhaber, Lena Völlger, et al.. (2023). Silent neonatal influenza A virus infection primes systemic antimicrobial immunity. Frontiers in Immunology. 14. 1072142–1072142. 1 indexed citations
6.
Almeida, C.M.V.B., et al.. (2023). Demographic Diversity of Clinical Trials for Therapeutic Drug Products: A Systematic Review of Recently Published Articles, 2017‐2022. The Journal of Clinical Pharmacology. 64(5). 514–528. 3 indexed citations
7.
Lucchese, Guglielmo, Antje Vogelgesang, Dina Raafat, et al.. (2022). Anti-neuronal antibodies against brainstem antigens are associated with COVID-19. EBioMedicine. 83. 104211–104211. 12 indexed citations
8.
Pötschke, Christian, et al.. (2020). Antibody Production in Murine Polymicrobial Sepsis—Kinetics and Key Players. Frontiers in Immunology. 11. 828–828. 6 indexed citations
9.
Pötschke, Christian, Dina Raafat, Julia van der Linde, et al.. (2020). Oxidation-Specific Epitopes (OSEs) Dominate the B Cell Response in Murine Polymicrobial Sepsis. Frontiers in Immunology. 11. 1570–1570. 3 indexed citations
10.
Fuchs, Christian, Julia Kolata, Tobias Schuerholz, et al.. (2020). Pathogen-specific antibody profiles in patients with severe systemic infections. European Cells and Materials. 39. 171–182. 2 indexed citations
11.
Raafat, Dina, Kristin Surmann, Leen Timbermont, et al.. (2020). Exploring Virulence Factors and Alternative Therapies against Staphylococcus aureus Pneumonia. Toxins. 12(11). 721–721. 17 indexed citations
13.
Raafat, Dina, et al.. (2019). Fighting Staphylococcus aureus Biofilms with Monoclonal Antibodies. Trends in Microbiology. 27(4). 303–322. 78 indexed citations
14.
Raafat, Dina, et al.. (2016). Development of in vitro resistance to chitosan is related to changes in cell envelope structure of Staphylococcus aureus. Carbohydrate Polymers. 157. 146–155. 28 indexed citations
15.
El‐Kamel, Amal H., et al.. (2015). Green synthesis of silver nanoparticles using cranberry powder aqueous extract: characterization and antimicrobial properties. International Journal of Nanomedicine. 10. 7207–7207. 71 indexed citations
16.
Raafat, Dina, et al.. (2015). Microbiological testing of pharmaceuticals and cosmetics in Egypt. BMC Microbiology. 15(1). 275–275. 9 indexed citations
17.
18.
Raafat, Dina & Hans‐Georg Sahl. (2009). Chitosan and its antimicrobial potential – a critical literature survey. Microbial Biotechnology. 2(2). 186–201. 676 indexed citations breakdown →
19.
Raafat, Dina, Kristine von Bargen, Albert Haas, & Hans‐Georg Sahl. (2008). Insights into the Mode of Action of Chitosan as an Antibacterial Compound. Applied and Environmental Microbiology. 74(12). 3764–3773. 650 indexed citations breakdown →
20.
Sun, Youping, William Lowther, Caterina Bianco, et al.. (2005). Notch4 intracellular domain binding to Smad3 and inhibition of the TGF-β signaling. Oncogene. 24(34). 5365–5374. 80 indexed citations

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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