Fatima Cavaleri

986 total citations
10 papers, 747 citations indexed

About

Fatima Cavaleri is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fatima Cavaleri has authored 10 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Fatima Cavaleri's work include Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (5 papers) and Renal and related cancers (5 papers). Fatima Cavaleri is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (5 papers) and Renal and related cancers (5 papers). Fatima Cavaleri collaborates with scholars based in Germany, United States and Italy. Fatima Cavaleri's co-authors include Hans R. Schöler, Katrina Gwinn, John Hardy, Mina Ryten, Tom Burdon, Jan‐Willem Taanman, Henry Houlden, Petr Vodička, Nicola J. Drummond and Anthony H.V. Schapira and has published in prestigious journals such as Cell, Nature Communications and The EMBO Journal.

In The Last Decade

Fatima Cavaleri

10 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatima Cavaleri Germany 10 598 181 133 104 74 10 747
Sohyun L. McElroy United States 8 299 0.5× 59 0.3× 160 1.2× 97 0.9× 49 0.7× 12 494
Cameron Sadegh United States 5 258 0.4× 121 0.7× 91 0.7× 17 0.2× 22 0.3× 12 494
Masafumi Umekage Japan 7 389 0.7× 150 0.8× 43 0.3× 12 0.1× 45 0.6× 8 497
Veerle Van Gerwen Belgium 11 265 0.4× 413 2.3× 152 1.1× 132 1.3× 64 0.9× 18 884
Yu Alex Zhang China 9 152 0.3× 128 0.7× 107 0.8× 25 0.2× 37 0.5× 20 361
Annie Wolff France 10 458 0.8× 47 0.3× 24 0.2× 60 0.6× 63 0.9× 11 616
Yaniv Gil Israel 9 308 0.5× 53 0.3× 84 0.6× 13 0.1× 31 0.4× 11 445
Chunhua Yang United States 7 502 0.8× 313 1.7× 47 0.4× 25 0.2× 59 0.8× 15 856
Julio Aguila Benitez Sweden 9 492 0.8× 95 0.5× 93 0.7× 10 0.1× 66 0.9× 11 633
Sam Nayler Australia 9 551 0.9× 65 0.4× 16 0.1× 48 0.5× 80 1.1× 12 698

Countries citing papers authored by Fatima Cavaleri

Since Specialization
Citations

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

Fields of papers citing papers by Fatima Cavaleri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatima Cavaleri

This figure shows the co-authorship network connecting the top 25 collaborators of Fatima Cavaleri. A scholar is included among the top collaborators of Fatima Cavaleri 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 Fatima Cavaleri. Fatima Cavaleri 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.
Powell, Lynn M., Lora Boteva, Rossana Foti, et al.. (2021). RIF1 and KAP1 differentially regulate the choice of inactive versus active X chromosomes. The EMBO Journal. 40(24). e105862–e105862. 11 indexed citations
2.
Devine, Michael J., Mina Ryten, Petr Vodička, et al.. (2011). Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus. Nature Communications. 2(1). 440–440. 375 indexed citations
3.
Sebastiano, Vittorio, Mathieu Dalvai, Luca Gentile, et al.. (2010). Oct1 regulates trophoblast development during early mouse embryogenesis. Development. 137(21). 3551–3560. 43 indexed citations
4.
Balbach, Sebastian T., et al.. (2007). Chromosome stability differs in cloned mouse embryos and derivative ES cells. Developmental Biology. 308(2). 309–321. 26 indexed citations
5.
Cavaleri, Fatima, Sebastian T. Balbach, Luca Gentile, et al.. (2007). Subsets of cloned mouse embryos and their non-random relationship to development and nuclear reprogramming. Mechanisms of Development. 125(1-2). 153–166. 22 indexed citations
6.
Cavaleri, Fatima, Luca Gentile, Hans R. Schöler, & Michele Boiani. (2006). Recombinant Human Albumin Supports Development of Somatic Cell Nuclear Transfer Embryos in Mice: Toward the Establishment of a Chemically Defined Cloning Protocol. Cloning and Stem Cells. 8(1). 24–40. 9 indexed citations
7.
Tolkunova, Elena, Fatima Cavaleri, Sigrid Eckardt, et al.. (2005). The Caudal-Related Protein Cdx2 Promotes Trophoblast Differentiation of Mouse Embryonic Stem Cells. Stem Cells. 24(1). 139–144. 72 indexed citations
8.
9.
Cavaleri, Fatima & Hans R. Schöler. (2003). Nanog. Cell. 113(5). 551–552. 107 indexed citations
10.
Feo, Salvatore, Vincenzo Antona, Giuseppe Cammarata, et al.. (2001). Conserved Structure and Promoter Sequence Similarity in the Mouse and Human Genes Encoding the Zinc Finger Factor BERF-1/BFCOL1/ZBP-89. Biochemical and Biophysical Research Communications. 283(1). 209–218. 11 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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