Camilla Jandus

202 total papers · 7.4k total citations
82 papers, 4.6k citations indexed

About

Camilla Jandus is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Camilla Jandus has authored 82 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Immunology, 23 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Camilla Jandus's work include Immune Cell Function and Interaction (37 papers), IL-33, ST2, and ILC Pathways (27 papers) and T-cell and B-cell Immunology (21 papers). Camilla Jandus is often cited by papers focused on Immune Cell Function and Interaction (37 papers), IL-33, ST2, and ILC Pathways (27 papers) and T-cell and B-cell Immunology (21 papers). Camilla Jandus collaborates with scholars based in Switzerland, Italy and United States. Camilla Jandus's co-authors include Pedro Romero, Daniel E. Speiser, Jean‐Paul Rivals, Gilles Bioley, Sara Trabanelli, Stephan von Gunten, Hans‐Uwe Simon, Laurent Derré, Jean Dudler and Alfred Zippelius and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Camilla Jandus

78 papers receiving 4.6k citations

Hit Papers

CD36-mediated metabolic a... 2014 2026 2018 2022 2020 2014 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Camilla Jandus 3.2k 1.6k 1.4k 555 409 82 4.6k
Golnaz Vahedi 4.1k 1.3× 1.8k 1.1× 1.9k 1.3× 353 0.6× 348 0.9× 55 6.1k
Junichiro Mizuguchi 3.6k 1.1× 1.8k 1.1× 1.4k 1.0× 284 0.5× 200 0.5× 129 5.5k
Matthieu Rouleau 3.0k 0.9× 2.0k 1.3× 751 0.5× 482 0.9× 406 1.0× 60 5.7k
Amanda C. Poholek 4.2k 1.3× 1.3k 0.8× 1.3k 0.9× 731 1.3× 271 0.7× 49 5.8k
Xuyu Zhou 5.1k 1.6× 975 0.6× 1.1k 0.8× 387 0.7× 334 0.8× 64 6.4k
James A. Johnston 3.4k 1.1× 1.3k 0.9× 2.7k 1.9× 482 0.9× 228 0.6× 63 5.7k
Bruno Azzarone 2.0k 0.6× 1.1k 0.7× 1.0k 0.7× 411 0.7× 351 0.9× 132 4.1k
Thierry Defrance 4.6k 1.4× 1.3k 0.8× 963 0.7× 343 0.6× 253 0.6× 85 6.7k
Daniel L. Mueller 4.9k 1.5× 1.5k 1.0× 1.3k 0.9× 304 0.5× 361 0.9× 83 6.6k
Motoko Y. Kimura 4.7k 1.5× 1.2k 0.8× 1.1k 0.8× 311 0.6× 248 0.6× 71 6.0k

Countries citing papers authored by Camilla Jandus

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Jandus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Jandus

This figure shows the co-authorship network connecting the top 25 collaborators of Camilla Jandus. A scholar is included among the top collaborators of Camilla Jandus 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 Camilla Jandus. Camilla Jandus 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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