Rasha Khaddaj

457 total citations
9 papers, 310 citations indexed

About

Rasha Khaddaj is a scholar working on Molecular Biology, Biochemistry and Cell Biology. According to data from OpenAlex, Rasha Khaddaj has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Biochemistry and 6 papers in Cell Biology. Recurrent topics in Rasha Khaddaj's work include Lipid metabolism and biosynthesis (8 papers), Photosynthetic Processes and Mechanisms (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Rasha Khaddaj is often cited by papers focused on Lipid metabolism and biosynthesis (8 papers), Photosynthetic Processes and Mechanisms (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Rasha Khaddaj collaborates with scholars based in Switzerland, Australia and France. Rasha Khaddaj's co-authors include Roger Schneiter, Stefano Vanni, Valeria Zoni, Pablo Campomanes, Stéphanie Cottier, Ivan Lukmantara, Abdou Rachid Thiam, Hongyuan Yang, Wataru Shinoda and Wanda Kukulski and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Cell Science.

In The Last Decade

Rasha Khaddaj

9 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rasha Khaddaj Switzerland 7 240 192 88 46 16 9 310
Alexandre Santinho France 6 219 0.9× 238 1.2× 100 1.1× 53 1.2× 21 1.3× 6 310
Valeria Zoni Switzerland 12 348 1.4× 208 1.1× 114 1.3× 55 1.2× 21 1.3× 16 427
Rosemary J. Cater United States 8 196 0.8× 42 0.2× 19 0.2× 16 0.3× 8 0.5× 11 297
Aymeric Chorlay France 7 334 1.4× 365 1.9× 138 1.6× 74 1.6× 23 1.4× 8 464
Birgit Ploier Austria 11 333 1.4× 94 0.5× 60 0.7× 19 0.4× 27 1.7× 14 383
Ananda K. Ghosh United States 9 200 0.8× 186 1.0× 52 0.6× 62 1.3× 45 2.8× 14 341
Cagakan Özbalci Germany 9 401 1.7× 51 0.3× 100 1.1× 34 0.7× 22 1.4× 12 509
J. Pedro Fernández-Murray Canada 8 206 0.9× 91 0.5× 99 1.1× 20 0.4× 23 1.4× 11 266
Cheol Woong Ha South Korea 9 276 1.1× 87 0.5× 48 0.5× 45 1.0× 26 1.6× 9 346
Matthew G. Baile United States 10 355 1.5× 48 0.3× 56 0.6× 41 0.9× 8 0.5× 12 391

Countries citing papers authored by Rasha Khaddaj

Since Specialization
Citations

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

Fields of papers citing papers by Rasha Khaddaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasha Khaddaj

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

All Works

9 of 9 papers shown
1.
Khaddaj, Rasha & Wanda Kukulski. (2023). Piecing together the structural organisation of lipid exchange at membrane contact sites. Current Opinion in Cell Biology. 83. 102212–102212. 6 indexed citations
2.
Wozny, Michael R., Dustin R. Morado, Andrea Picco, et al.. (2023). In situ architecture of the ER–mitochondria encounter structure. Nature. 618(7963). 188–192. 78 indexed citations
3.
Khaddaj, Rasha, Jiří Stříbný, Stéphanie Cottier, & Roger Schneiter. (2023). Perilipin 3 promotes the formation of membrane domains enriched in diacylglycerol and lipid droplet biogenesis proteins. Frontiers in Cell and Developmental Biology. 11. 1116491–1116491. 12 indexed citations
4.
Zoni, Valeria, Rasha Khaddaj, Ivan Lukmantara, et al.. (2021). Seipin accumulates and traps diacylglycerols and triglycerides in its ring-like structure. Proceedings of the National Academy of Sciences. 118(10). 73 indexed citations
5.
Khaddaj, Rasha, Muriel Mari, Stéphanie Cottier, Fulvio Reggiori, & Roger Schneiter. (2021). The surface of lipid droplets constitutes a barrier for endoplasmic reticulum-resident integral membrane proteins. Journal of Cell Science. 135(5). 18 indexed citations
6.
Zoni, Valeria, Rasha Khaddaj, Pablo Campomanes, et al.. (2021). Pre-existing bilayer stresses modulate triglyceride accumulation in the ER versus lipid droplets. eLife. 10. 68 indexed citations
7.
Zoni, Valeria, Rasha Khaddaj, Ivan Lukmantara, et al.. (2021). Seipin accumulates and traps diacylglycerols and triglycerides in its ring-like structure. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Zoni, Valeria, et al.. (2020). Lipid Droplet Biogenesis is Driven by Liquid-Liquid Phase Separation. SSRN Electronic Journal. 10 indexed citations
9.
Khaddaj, Rasha, et al.. (2016). Mature lipid droplets are accessible to ER luminal proteins. Journal of Cell Science. 129(20). 3803–3815. 44 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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