Annalisa Stilla

757 total citations
8 papers, 612 citations indexed

About

Annalisa Stilla is a scholar working on Oncology, Physiology and Immunology. According to data from OpenAlex, Annalisa Stilla has authored 8 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Physiology and 5 papers in Immunology. Recurrent topics in Annalisa Stilla's work include PARP inhibition in cancer therapy (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Annalisa Stilla is often cited by papers focused on PARP inhibition in cancer therapy (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Annalisa Stilla collaborates with scholars based in Italy, Germany and France. Annalisa Stilla's co-authors include Maria Di Girolamo, Nadia Dani, Daniela Corda, Marta Mosca, Ugo D’Oro, Sergio Abrignani, Sandra Nuti, Andreas Wack, Nicholas M. Valiante and Stefania Crotta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Annalisa Stilla

8 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annalisa Stilla Italy 7 315 266 201 200 118 8 612
Yoshiko Kobune Japan 6 111 0.4× 16 0.1× 49 0.2× 59 0.3× 115 1.0× 6 357
Harikesh S. Wong United States 8 279 0.9× 53 0.2× 64 0.3× 102 0.5× 25 0.2× 14 513
Helmuth H. G. van Es Netherlands 13 136 0.4× 15 0.1× 117 0.6× 82 0.4× 10 0.1× 18 614
A. H. Straus Brazil 11 168 0.5× 46 0.2× 61 0.3× 164 0.8× 6 0.1× 20 513
Kyle J. Seamon United States 13 137 0.4× 11 0.0× 72 0.4× 93 0.5× 17 0.1× 17 535
C U Lambe United States 11 68 0.2× 17 0.1× 202 1.0× 499 2.5× 30 0.3× 15 741
Hae Soo Park United States 5 274 0.9× 81 0.3× 27 0.1× 128 0.6× 4 0.0× 10 496
Nikolai Novikov United States 11 139 0.4× 231 0.9× 40 0.2× 325 1.6× 7 0.1× 19 821
Chrissie Lim United States 7 327 1.0× 27 0.1× 138 0.7× 60 0.3× 5 0.0× 8 617
Dorine Bonte France 8 27 0.1× 103 0.4× 56 0.3× 151 0.8× 11 0.1× 10 357

Countries citing papers authored by Annalisa Stilla

Since Specialization
Citations

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

Fields of papers citing papers by Annalisa Stilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalisa Stilla

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

All Works

8 of 8 papers shown
1.
Scarpa, Emanuele Salvatore, Annalisa Stilla, Nadia Dani, et al.. (2018). ARTD10/PARP10 Induces ADP-Ribosylation of GAPDH and Recruits GAPDH into Cytosolic Membrane-Free Cell Bodies When Overexpressed in Mammalian Cells. SHILAP Revista de lepidopterología. 9(1). 22–22. 8 indexed citations
2.
Paola, Simone Di, Annalisa Stilla, Monica Giannotta, et al.. (2014). ARTC1-mediated ADP-ribosylation of GRP78/BiP: a new player in endoplasmic-reticulum stress responses. Cellular and Molecular Life Sciences. 72(6). 1209–1225. 48 indexed citations
3.
Stilla, Annalisa, Simone Di Paola, Nadia Dani, et al.. (2011). Characterisation of a novel glycosylphosphatidylinositol-anchored mono-ADP-ribosyltransferase isoform in ovary cells. European Journal of Cell Biology. 90(8). 665–677. 7 indexed citations
4.
Dani, Nadia, et al.. (2010). Mono-ADP-ribosylation of the G Protein βγ Dimer Is Modulated by Hormones and Inhibited by Arf6. Journal of Biological Chemistry. 286(8). 5995–6005. 11 indexed citations
5.
Stilla, Annalisa, et al.. (2010). Identification and partial characterization of Rhizopus nigricans Gβ proteins and their expression in the presence of progesterone. The Journal of Steroid Biochemistry and Molecular Biology. 129(1-2). 99–105. 2 indexed citations
6.
Dani, Nadia, Annalisa Stilla, Antonio Mario Tamburro, et al.. (2009). Combining affinity purification by ADP-ribose-binding macro domains with mass spectrometry to define the mammalian ADP-ribosyl proteome. Proceedings of the National Academy of Sciences. 106(11). 4243–4248. 94 indexed citations
7.
Girolamo, Maria Di, Nadia Dani, Annalisa Stilla, & Daniela Corda. (2005). Physiological relevance of the endogenous mono(ADP‐ribosyl)ation of cellular proteins. FEBS Journal. 272(18). 4565–4575. 81 indexed citations
8.
Crotta, Stefania, Annalisa Stilla, Andreas Wack, et al.. (2001). Inhibition of Natural Killer Cells through Engagement of CD81 by the Major Hepatitis C Virus Envelope Protein. The Journal of Experimental Medicine. 195(1). 35–42. 361 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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