Ella Levit‐Zerdoun

424 total citations
8 papers, 276 citations indexed

About

Ella Levit‐Zerdoun is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ella Levit‐Zerdoun has authored 8 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ella Levit‐Zerdoun's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). Ella Levit‐Zerdoun is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). Ella Levit‐Zerdoun collaborates with scholars based in Germany, United States and Switzerland. Ella Levit‐Zerdoun's co-authors include Michael Reth, Elias Hobeika, Jürgen Bernhagen, Corinna Schmitz, N Heussen, Marieke Sternkopf, Kim Ohl, Omar El Bounkari, Idit Shachar and Klaus Tenbrock and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Ella Levit‐Zerdoun

8 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ella Levit‐Zerdoun Germany 7 164 89 73 35 33 8 276
Jérémy Balland France 6 155 0.9× 151 1.7× 212 2.9× 31 0.9× 73 2.2× 7 354
Karl L. Banta United States 7 224 1.4× 110 1.2× 257 3.5× 14 0.4× 30 0.9× 8 414
Christoph Herbel Germany 8 134 0.8× 202 2.3× 155 2.1× 20 0.6× 62 1.9× 14 380
Can Di China 5 155 0.9× 89 1.0× 149 2.0× 9 0.3× 57 1.7× 7 286
Adeline Bouard France 8 139 0.8× 171 1.9× 251 3.4× 31 0.9× 79 2.4× 17 396
Christopher Bricogne United Kingdom 6 199 1.2× 113 1.3× 206 2.8× 7 0.2× 17 0.5× 7 355
George Yam United States 4 140 0.9× 289 3.2× 99 1.4× 9 0.3× 31 0.9× 5 405
Nicla Porciello Italy 9 154 0.9× 59 0.7× 78 1.1× 5 0.1× 20 0.6× 13 253
Linda Wu Canada 7 309 1.9× 162 1.8× 138 1.9× 8 0.2× 53 1.6× 8 433
Wilhelmiina Niininen Finland 10 37 0.2× 231 2.6× 111 1.5× 14 0.4× 56 1.7× 13 346

Countries citing papers authored by Ella Levit‐Zerdoun

Since Specialization
Citations

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

Fields of papers citing papers by Ella Levit‐Zerdoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ella Levit‐Zerdoun. 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 Ella Levit‐Zerdoun. The network helps show where Ella Levit‐Zerdoun may publish in the future.

Co-authorship network of co-authors of Ella Levit‐Zerdoun

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

All Works

8 of 8 papers shown
1.
Levit‐Zerdoun, Ella, et al.. (2022). PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma. Cell Communication and Signaling. 20(1). 187–187. 23 indexed citations
2.
Levit‐Zerdoun, Ella, et al.. (2021). Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts. Cell Communication and Signaling. 19(1). 123–123. 3 indexed citations
3.
Levit‐Zerdoun, Ella, Rudolf Übelhart, Alessia Landi, et al.. (2019). Carbohydrate-dependent B cell activation by fucose-binding bacterial lectins. Science Signaling. 12(571). 21 indexed citations
4.
Klett, Hagen, Ella Levit‐Zerdoun, Saskia Hussung, et al.. (2018). Identification and Validation of a Diagnostic and Prognostic Multi-Gene Biomarker Panel for Pancreatic Ductal Adenocarcinoma. Frontiers in Genetics. 9. 108–108. 49 indexed citations
5.
Hobeika, Elias, Marcel Dautzenberg, Ella Levit‐Zerdoun, Roberta Pelanda, & Michael Reth. (2018). Conditional Selection of B Cells in Mice With an Inducible B Cell Development. Frontiers in Immunology. 9. 1806–1806. 9 indexed citations
6.
Levit‐Zerdoun, Ella, et al.. (2016). Survival of Igα-Deficient Mature B Cells Requires BAFF-R Function. The Journal of Immunology. 196(5). 2348–2360. 11 indexed citations
7.
Hobeika, Elias, Ella Levit‐Zerdoun, Ameera Alsadeq, et al.. (2015). CD 19 and BAFF ‐R can signal to promote B ‐cell survival in the absence of Syk. The EMBO Journal. 34(7). 925–939. 53 indexed citations
8.
Ohl, Kim, Marieke Sternkopf, Idit Shachar, et al.. (2014). MIF Promotes B Cell Chemotaxis through the Receptors CXCR4 and CD74 and ZAP-70 Signaling. The Journal of Immunology. 192(11). 5273–5284. 107 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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