Christiane Wiesner

14 total papers · 1.2k total citations
14 papers, 940 citations indexed

About

Christiane Wiesner is a scholar working on Cell Biology, Molecular Biology and Immunology. According to data from OpenAlex, Christiane Wiesner has authored 14 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cell Biology, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Christiane Wiesner's work include Cellular Mechanics and Interactions (6 papers), Protease and Inhibitor Mechanisms (4 papers) and Caveolin-1 and cellular processes (4 papers). Christiane Wiesner is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Protease and Inhibitor Mechanisms (4 papers) and Caveolin-1 and cellular processes (4 papers). Christiane Wiesner collaborates with scholars based in Germany, France and Australia. Christiane Wiesner's co-authors include Stefan Linder, Mirko Himmel, Jan Faix, Isabelle Maridonneau‐Parini, Véronique Le Cabec, Anaïs Bouissou, Renaud Poincloux, Pasquale Cervero, Joachim Kremerskothen and Hermann Pavenstädt and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Blood.

In The Last Decade

Christiane Wiesner

14 papers receiving 937 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christiane Wiesner 551 390 241 189 186 14 940
Riina Kaukonen 412 0.7× 564 1.4× 200 0.8× 130 0.7× 343 1.8× 15 1.1k
Dvorah Ish‐Shalom 437 0.8× 796 2.0× 238 1.0× 167 0.9× 296 1.6× 12 1.2k
Julie S. Di Martino 285 0.5× 367 0.9× 156 0.6× 182 1.0× 284 1.5× 21 854
Jason J. Zoeller 370 0.7× 617 1.6× 182 0.8× 199 1.1× 203 1.1× 23 1.1k
Géraldine Pawlak 442 0.8× 610 1.6× 197 0.8× 101 0.5× 215 1.2× 14 962
Sabina Winograd‐Katz 419 0.8× 450 1.2× 290 1.2× 78 0.4× 174 0.9× 16 874
Edward R. Horton 538 1.0× 437 1.1× 395 1.6× 101 0.5× 273 1.5× 20 1.2k
Giusi Caldieri 552 1.0× 441 1.1× 240 1.0× 185 1.0× 149 0.8× 14 889
Antonio Castro-Castro 425 0.8× 479 1.2× 161 0.7× 215 1.1× 157 0.8× 13 830
Nicholas O. Deakin 547 1.0× 545 1.4× 411 1.7× 101 0.5× 151 0.8× 13 1.0k

Countries citing papers authored by Christiane Wiesner

Since Specialization
Citations

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

Fields of papers citing papers by Christiane Wiesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christiane Wiesner

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

All Works

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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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