Carola Benzing

720 total citations
9 papers, 531 citations indexed

About

Carola Benzing is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Carola Benzing has authored 9 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Carola Benzing's work include CAR-T cell therapy research (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Carola Benzing is often cited by papers focused on CAR-T cell therapy research (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Carola Benzing collaborates with scholars based in Australia, United Kingdom and United States. Carola Benzing's co-authors include Katharina Gaus, Robert G. Parton, Jérémie Rossy, Andrej Shevchenko, Ramya Lakshminarayan, Damarys Loew, Christophe Lamaze, Senthil Arumugam, Nicholas Ariotti and Ulrike Becken and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and Journal of Cell Science.

In The Last Decade

Carola Benzing

9 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carola Benzing Australia 8 319 244 118 67 52 9 531
Nele M. G. Dieckmann United Kingdom 9 236 0.7× 262 1.1× 184 1.6× 104 1.6× 50 1.0× 10 650
H. Ike Japan 5 378 1.2× 225 0.9× 200 1.7× 75 1.1× 95 1.8× 6 710
Christian M. Gawden‐Bone United Kingdom 11 197 0.6× 304 1.2× 170 1.4× 102 1.5× 77 1.5× 12 618
Hélène D. Moreau France 13 163 0.5× 411 1.7× 117 1.0× 139 2.1× 39 0.8× 23 625
Jheimmy Diaz Chile 7 138 0.4× 320 1.3× 135 1.1× 44 0.7× 20 0.4× 10 524
Alon Oyler‐Yaniv United States 6 153 0.5× 303 1.2× 151 1.3× 155 2.3× 32 0.6× 8 564
Zhengmin Yang Australia 10 212 0.7× 141 0.6× 64 0.5× 44 0.7× 120 2.3× 16 416
Sébastien Mailfert France 14 257 0.8× 293 1.2× 72 0.6× 88 1.3× 61 1.2× 22 622
Anne Reversat Austria 8 205 0.6× 365 1.5× 303 2.6× 85 1.3× 48 0.9× 9 763
Lucie Sengmanivong France 12 229 0.7× 70 0.3× 136 1.2× 58 0.9× 39 0.8× 15 434

Countries citing papers authored by Carola Benzing

Since Specialization
Citations

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

Fields of papers citing papers by Carola Benzing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carola Benzing

This figure shows the co-authorship network connecting the top 25 collaborators of Carola Benzing. A scholar is included among the top collaborators of Carola Benzing 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 Carola Benzing. Carola Benzing 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.
Pageon, Sophie V., Thibault Tabarin, Yuanqing Ma, et al.. (2016). Functional role of T-cell receptor nanoclusters in signal initiation and antigen discrimination (vol 113, pg E5454, 2016). 113. 1 indexed citations
2.
Pageon, Sophie V., Thibault Tabarin, Yuanqing Ma, et al.. (2016). Functional role of T-cell receptor nanoclusters in signal initiation and antigen discrimination. Proceedings of the National Academy of Sciences. 113(37). E5454–63. 168 indexed citations
3.
Yaffe, Yakey, Ella H. Sklan, Yechiel Elkabetz, et al.. (2015). The myelin proteolipid plasmolipin forms oligomers and induces liquid-ordered membranes in the Golgi complex. Journal of Cell Science. 128(13). 2293–2302. 16 indexed citations
4.
Abu‐Siniyeh, Ahmed, Dylan M. Owen, Carola Benzing, et al.. (2015). The aPKC/Par3/Par6 Polarity Complex and Membrane Order Are Functionally Interdependent in Epithelia During Vertebrate Organogenesis. Traffic. 17(1). 66–79. 7 indexed citations
5.
Lakshminarayan, Ramya, Christian Wunder, Ulrike Becken, et al.. (2014). Galectin-3 drives glycosphingolipid-dependent biogenesis of clathrin-independent carriers. Nature Cell Biology. 16(6). 592–603. 237 indexed citations
6.
Benzing, Carola, Jérémie Rossy, & Katharina Gaus. (2013). Do signalling endosomes play a role in T cell activation?. FEBS Journal. 280(21). 5164–5176. 10 indexed citations
7.
Rossy, Jérémie, David J. Williamson, Carola Benzing, & Katharina Gaus. (2012). The integration of signaling and the spatial organization of the T cell synapse. Frontiers in Immunology. 3. 352–352. 20 indexed citations
8.
Magenau, Astrid, Carola Benzing, Nicholas Proschogo, et al.. (2011). Phagocytosis of IgG‐Coated Polystyrene Beads by Macrophages Induces and Requires High Membrane Order. Traffic. 12(12). 1730–1743. 33 indexed citations
9.
Schmidt, Ute, et al.. (2009). Assembly and mobility of exon–exon junction complexes in living cells. RNA. 15(5). 862–876. 39 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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