Viviane Anquez

1.5k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Viviane Anquez is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Viviane Anquez has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in Viviane Anquez's work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Viviane Anquez is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Viviane Anquez collaborates with scholars based in Switzerland, France and Germany. Viviane Anquez's co-authors include Claude–Agnès Reynaud, Jean–Claude Weill, Hélène Grimal, Auriel Dahan, Beat A. Imhof, Jean-Claude Weill, H.-J. Terpe, Klaus Pantel, Ursula Günthert and S Störkel and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Viviane Anquez

7 papers receiving 1.2k citations

Hit Papers

A hyperconversion mechanism generates the chicken light c... 1987 2026 2000 2013 1987 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viviane Anquez Switzerland 6 713 643 413 188 80 7 1.3k
Martine Cérutti France 24 369 0.5× 768 1.2× 211 0.5× 108 0.6× 68 0.8× 50 1.4k
Ronald B. Corley United States 27 1.3k 1.8× 524 0.8× 447 1.1× 158 0.8× 43 0.5× 83 1.9k
Auriel Dahan France 11 463 0.6× 524 0.8× 262 0.6× 143 0.8× 41 0.5× 14 932
J S Tung United States 17 497 0.7× 489 0.8× 319 0.8× 179 1.0× 31 0.4× 29 1.1k
Shuichi Furusawa Japan 20 496 0.7× 448 0.7× 290 0.7× 214 1.1× 61 0.8× 89 1.2k
Catherine Desaymard France 18 831 1.2× 643 1.0× 343 0.8× 125 0.7× 157 2.0× 33 1.4k
Hélène Grimal France 7 378 0.5× 458 0.7× 215 0.5× 155 0.8× 21 0.3× 8 824
R G Mage United States 22 560 0.8× 525 0.8× 430 1.0× 117 0.6× 77 1.0× 45 1.0k
E H Humphries United States 23 721 1.0× 840 1.3× 235 0.6× 440 2.3× 55 0.7× 41 1.6k
S H Gromkowski United States 13 674 0.9× 381 0.6× 143 0.3× 162 0.9× 99 1.2× 13 1.0k

Countries citing papers authored by Viviane Anquez

Since Specialization
Citations

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

Fields of papers citing papers by Viviane Anquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viviane Anquez

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

All Works

7 of 7 papers shown
1.
Bohrmann, Bernd, Viviane Anquez, Karlheinz Baumann, et al.. (2017). A comparative study of binding properties of gantenerumab and aducanumab analog to aggregated amyloid-beta (P6.087). Neurology. 88(16_supplement). 2 indexed citations
2.
Müller, Susanna, Grzegorz Terszowski, Carmen Blum, et al.. (2005). Gene targeting of VEGF-A in thymus epithelium disrupts thymus blood vessel architecture. Proceedings of the National Academy of Sciences. 102(30). 10587–10592. 62 indexed citations
3.
Terpe, H.-J., S Störkel, Viviane Anquez, et al.. (1996). Expression of CD44 isoforms in renal cell tumors : positive correlation to tumor differentiation. edoc (University of Basel). 148(2). 453–63. 78 indexed citations
4.
Reynaud, Claude–Agnès, Beat A. Imhof, Viviane Anquez, & Jean-Claude Weill. (1992). Emergence of committed B lymphoid progenitors in the developing chicken embryo.. The EMBO Journal. 11(12). 4349–4358. 73 indexed citations
5.
Reynaud, Claude–Agnès, Viviane Anquez, & Jean–Claude Weill. (1991). The chicken D locus and its contribution to the immunoglobulin heavy chain repertoire. European Journal of Immunology. 21(11). 2661–2670. 81 indexed citations
6.
Reynaud, Claude–Agnès, Auriel Dahan, Viviane Anquez, & Jean–Claude Weill. (1989). Somatic hyperconversion diversifies the single VH gene of the chicken with a high incidence in the D region. Cell. 59(1). 171–183. 399 indexed citations
7.
Reynaud, Claude–Agnès, Viviane Anquez, Hélène Grimal, & Jean–Claude Weill. (1987). A hyperconversion mechanism generates the chicken light chain preimmune repertoire. Cell. 48(3). 379–388. 576 indexed citations breakdown →

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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