Sonia Netzer

1.3k total citations
10 papers, 1.0k citations indexed

About

Sonia Netzer is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Sonia Netzer has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Sonia Netzer's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers) and Cytomegalovirus and herpesvirus research (5 papers). Sonia Netzer is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers) and Cytomegalovirus and herpesvirus research (5 papers). Sonia Netzer collaborates with scholars based in France, United Kingdom and Belgium. Sonia Netzer's co-authors include Julie Déchanet‐Merville, Jean‐François Moreau, Vincent Pitard, Marc Bonneville, Christelle Harly, Emmanuel Scotet, Carrie R. Willcox, Benjamin E. Willcox, Lionel Couzi and Jürgen Kuball and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Immunology.

In The Last Decade

Sonia Netzer

9 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Netzer France 8 809 323 145 134 42 10 1.0k
Alexandra Léger France 9 878 1.1× 335 1.0× 73 0.5× 113 0.8× 66 1.6× 11 996
György Stuber Sweden 14 468 0.6× 334 1.0× 141 1.0× 149 1.1× 55 1.3× 22 716
Yosuke Kamimura Japan 13 1.2k 1.4× 432 1.3× 182 1.3× 148 1.1× 24 0.6× 13 1.3k
Silvia Lorenzi Italy 7 482 0.6× 341 1.1× 80 0.6× 180 1.3× 22 0.5× 8 702
Chun‐Jen J. Chen New Zealand 11 936 1.2× 283 0.9× 75 0.5× 256 1.9× 26 0.6× 15 1.1k
Mahboob Salim United Kingdom 12 868 1.1× 305 0.9× 110 0.8× 164 1.2× 60 1.4× 14 1.0k
Jun Diao Canada 17 742 0.9× 305 0.9× 62 0.4× 192 1.4× 28 0.7× 20 951
Hyun Tak Jin South Korea 8 446 0.6× 281 0.9× 113 0.8× 102 0.8× 18 0.4× 10 621
Mathilde Allard Switzerland 16 536 0.7× 322 1.0× 61 0.4× 146 1.1× 42 1.0× 21 705
Verena Voelter Switzerland 16 568 0.7× 452 1.4× 75 0.5× 219 1.6× 67 1.6× 27 856

Countries citing papers authored by Sonia Netzer

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Netzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Netzer

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

All Works

10 of 10 papers shown
1.
Papadopoulou, Maria V., Hang‐Phuong Pham, Valentin Quiniou, et al.. (2024). Long-lived central memory γδ T cells confer protection against murine cytomegalovirus reinfection. PLoS Pathogens. 20(7). e1010785–e1010785. 2 indexed citations
2.
Marlin, Romain, Hannah Kaminski, Carrie R. Willcox, et al.. (2017). Sensing of cell stress by human γδ TCR-dependent recognition of annexin A2. Proceedings of the National Academy of Sciences. 114(12). 3163–3168. 111 indexed citations
3.
Khairallah, Camille, Sonia Netzer, Arnaud Villacreces, et al.. (2015). γδ T Cells Confer Protection against Murine Cytomegalovirus (MCMV). PLoS Pathogens. 11(3). e1004702–e1004702. 68 indexed citations
4.
Devaud, Christel, Benoı̂t Rousseau, Sonia Netzer, et al.. (2013). Anti-metastatic potential of human Vδ1+ γδ T cells in an orthotopic mouse xenograft model of colon carcinoma. Cancer Immunology Immunotherapy. 62(7). 1199–1210. 36 indexed citations
6.
Harly, Christelle, Yves Claude Guillaume, Steven Nédellec, et al.. (2012). Key implication of CD277/butyrophilin-3 (BTN3A) in cellular stress sensing by a major human γδ T-cell subset. Blood. 120(11). 2269–2279. 417 indexed citations
7.
Willcox, Carrie R., Vincent Pitard, Sonia Netzer, et al.. (2012). Cytomegalovirus and tumor stress surveillance by binding of a human γδ T cell antigen receptor to endothelial protein C receptor. Nature Immunology. 13(9). 872–879. 240 indexed citations
8.
Harly, Christelle, Marie‐Alix Peyrat, Sonia Netzer, et al.. (2011). Up-regulation of cytolytic functions of human Vδ2− γδ T lymphocytes through engagement of ILT2 expressed by tumor target cells. Blood. 117(10). 2864–2873. 21 indexed citations
9.
Couzi, Lionel, Vincent Pitard, Sonia Netzer, et al.. (2009). Common Features of γδ T Cells and CD8+αβ T Cells Responding to Human Cytomegalovirus Infection in Kidney Transplant Recipients. The Journal of Infectious Diseases. 200(9). 1415–1424. 49 indexed citations
10.
Launoit, Yvan de, Anne Chotteau‐Lelièvre, Claude Beaudoin, et al.. (2002). The PEA3 Group of ETS-related Transcription Factors. Advances in experimental medicine and biology. 480. 107–116. 62 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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