Annalisa Conti

520 total citations
9 papers, 276 citations indexed

About

Annalisa Conti is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Annalisa Conti has authored 9 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Annalisa Conti's work include Cell death mechanisms and regulation (5 papers), Ubiquitin and proteasome pathways (3 papers) and Phagocytosis and Immune Regulation (2 papers). Annalisa Conti is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Ubiquitin and proteasome pathways (3 papers) and Phagocytosis and Immune Regulation (2 papers). Annalisa Conti collaborates with scholars based in Italy, United Kingdom and United States. Annalisa Conti's co-authors include Henning Walczak, Antonella Montinaro, Mona El‐Bahrawy, Johannes Lemke, Frederick Arce, Silvia von Karstedt, Daniele Lecis, Pierfausto Seneci, Domenico Delia and Paola Perego and has published in prestigious journals such as Cell Death and Differentiation, Cancer Letters and Cell Death and Disease.

In The Last Decade

Annalisa Conti

9 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annalisa Conti Italy	7	211	93	72	46	25	9	276
Xiaoyi Duan China	9	212 1.0×	81 0.9×	85 1.2×	78 1.7×	29 1.2×	16	331
Ambikai Gajan United States	8	235 1.1×	86 0.9×	63 0.9×	39 0.8×	19 0.8×	10	335
Eun-Sil Sung South Korea	10	186 0.9×	84 0.9×	54 0.8×	29 0.6×	18 0.7×	14	262
Franck Meslin France	8	204 1.0×	115 1.2×	103 1.4×	38 0.8×	19 0.8×	10	332
Allan D. Burrows Australia	7	133 0.6×	126 1.4×	98 1.4×	59 1.3×	33 1.3×	10	287
Linda Tran United States	5	169 0.8×	149 1.6×	101 1.4×	38 0.8×	36 1.4×	6	334
Chiara Modica Italy	10	122 0.6×	104 1.1×	49 0.7×	46 1.0×	31 1.2×	22	227
Liqiu Liao China	8	252 1.2×	130 1.4×	70 1.0×	87 1.9×	22 0.9×	17	342
Jianhua Xu China	8	180 0.9×	86 0.9×	60 0.8×	107 2.3×	43 1.7×	13	302
Da Zeng China	9	187 0.9×	89 1.0×	87 1.2×	111 2.4×	22 0.9×	22	344

Countries citing papers authored by Annalisa Conti

Since Specialization

Citations

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

Fields of papers citing papers by Annalisa Conti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalisa Conti

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

All Works

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9 of 9 papers shown

1.

Manenti, Giacomo, Miguel Mano, Loris De Cecco, et al.. (2018). cIAP1 regulates the EGFR/Snai2 axis in triple-negative breast cancer cells. Cell Death and Differentiation. 25(12). 2147–2164. 18 indexed citations

2.

Conti, Annalisa, Enrico Fontanella, Alberto Bardelli, et al.. (2016). Lemur tyrosine kinase 2 (LMTK2) is a determinant of cell sensitivity to apoptosis by regulating the levels of the BCL2 family members. Cancer Letters. 389. 59–69. 23 indexed citations

3.

D’Andrea, Aleco, Paola Nicoli, Marco Giorgio, et al.. (2016). The mitochondrial translation machinery as a therapeutic target in Myc-driven lymphomas. Oncotarget. 7(45). 72415–72430. 52 indexed citations

4.

Conti, Annalisa, Richard Elliott, Alan Ashworth, et al.. (2015). Oncogenic KRAS sensitizes premalignant, but not malignant cells, to Noxa-dependent apoptosis through the activation of the MEK/ERK pathway. Oncotarget. 6(13). 10994–11008. 12 indexed citations

5.

Seneci, Pierfausto, et al.. (2014). SPION-Smac mimetic nano-conjugates: Putative pro-apoptotic agents in oncology. Bioorganic & Medicinal Chemistry Letters. 24(10). 2374–2378. 4 indexed citations

6.

Lemke, Johannes, Silvia von Karstedt, Annalisa Conti, et al.. (2013). Selective CDK9 inhibition overcomes TRAIL resistance by concomitant suppression of cFlip and Mcl-1. Cell Death and Differentiation. 21(3). 491–502. 107 indexed citations

7.

Lecis, Daniele, Michelandrea De Cesare, Paola Perego, et al.. (2013). Smac mimetics induce inflammation and necrotic tumour cell death by modulating macrophage activity. Cell Death and Disease. 4(11). e920–e920. 41 indexed citations

8.

Manzoni, Leonardo, Laura Belvisi, Aldo Bianchi, et al.. (2012). Homo- and heterodimeric Smac mimetics/IAP inhibitors as in vivo-active pro-apoptotic agents. Part I: Synthesis. Bioorganic & Medicinal Chemistry. 20(22). 6687–6708. 18 indexed citations

9.

Cornaglia‐Ferraris, P., Paola Bocca, Andrea Cara, et al.. (1993). human neuroblastoma: New therapeutic strategies suggested by experimental models. 5. 327–337. 1 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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