Caroline Baer

1.9k total citations · 2 hit papers
7 papers, 1.4k citations indexed

About

Caroline Baer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Caroline Baer has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Caroline Baer's work include Extracellular vesicles in disease (3 papers), Immune cells in cancer (3 papers) and Cell death mechanisms and regulation (2 papers). Caroline Baer is often cited by papers focused on Extracellular vesicles in disease (3 papers), Immune cells in cancer (3 papers) and Cell death mechanisms and regulation (2 papers). Caroline Baer collaborates with scholars based in Switzerland, United Kingdom and United States. Caroline Baer's co-authors include Michele De Palma, Mario Leonardo Squadrito, Robert Lyle, Gregor D. Gilfillan, Claudio Maderna, Mark Ibberson, Frédéric Burdet, M. Luisa Iruela‐Arispe, Esra Güç and Gino B. Ferraro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Caroline Baer

7 papers receiving 1.3k citations

Hit Papers

Endogenous RNAs Modulate MicroRNA Sorting to Exosomes and... 2014 2026 2018 2022 2014 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Baer Switzerland 7 944 631 393 250 142 7 1.4k
Isabelle Duroux-Richard France 22 835 0.9× 435 0.7× 351 0.9× 123 0.5× 61 0.4× 49 1.4k
Hong Wei China 17 897 1.0× 571 0.9× 258 0.7× 86 0.3× 53 0.4× 32 1.2k
Mario Di Matteo Belgium 15 803 0.9× 335 0.5× 745 1.9× 481 1.9× 94 0.7× 20 1.6k
Shihong Zhao China 15 447 0.5× 235 0.4× 263 0.7× 123 0.5× 85 0.6× 35 897
Jens Serneels Belgium 10 559 0.6× 301 0.5× 807 2.1× 472 1.9× 91 0.6× 12 1.4k
Esra Güç United States 10 470 0.5× 210 0.3× 277 0.7× 388 1.6× 184 1.3× 17 1.0k
Chonghua He China 10 732 0.8× 502 0.8× 575 1.5× 508 2.0× 41 0.3× 12 1.4k
Natalie Rittenhouse United States 11 651 0.7× 492 0.8× 1.1k 2.7× 612 2.4× 181 1.3× 13 1.9k
Anastasia Chillà Italy 23 667 0.7× 336 0.5× 234 0.6× 265 1.1× 86 0.6× 45 1.1k
Luisa Cimmino United States 14 843 0.9× 203 0.3× 257 0.7× 182 0.7× 76 0.5× 18 1.3k

Countries citing papers authored by Caroline Baer

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Baer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Baer

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Baer. A scholar is included among the top collaborators of Caroline Baer 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 Caroline Baer. Caroline Baer 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.
Keklikoglou, Ioanna, Chiara Cianciaruso, Esra Güç, et al.. (2018). Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models. Nature Cell Biology. 21(2). 190–202. 414 indexed citations breakdown →
2.
Baer, Caroline, Mario Leonardo Squadrito, Damya Laoui, et al.. (2016). Suppression of microRNA activity amplifies IFN-γ-induced macrophage activation and promotes anti-tumour immunity. Nature Cell Biology. 18(7). 790–802. 210 indexed citations
3.
He, Huanhuan, Julia J. Mack, Esra Güç, et al.. (2016). Perivascular Macrophages Limit Permeability. Arteriosclerosis Thrombosis and Vascular Biology. 36(11). 2203–2212. 96 indexed citations
4.
Hu, Ying, Wenjie Ge, Xingwen Wang, et al.. (2015). Caspase cleavage of iASPP potentiates its ability to inhibit p53 and NF-κB. Oncotarget. 6(40). 42478–42490. 17 indexed citations
5.
Squadrito, Mario Leonardo, Caroline Baer, Frédéric Burdet, et al.. (2014). Endogenous RNAs Modulate MicroRNA Sorting to Exosomes and Transfer to Acceptor Cells. Cell Reports. 8(5). 1432–1446. 493 indexed citations breakdown →
6.
Baer, Caroline, Mario Leonardo Squadrito, M. Luisa Iruela‐Arispe, & Michele De Palma. (2013). Reciprocal interactions between endothelial cells and macrophages in angiogenic vascular niches. Experimental Cell Research. 319(11). 1626–1634. 86 indexed citations
7.
Notari, Mario, Ying Hu, Min Lü, et al.. (2011). Inhibitor of apoptosis-stimulating protein of p53 (iASPP) prevents senescence and is required for epithelial stratification. Proceedings of the National Academy of Sciences. 108(40). 16645–16650. 45 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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