Donatella Labella

614 total citations
8 papers, 394 citations indexed

About

Donatella Labella is a scholar working on Molecular Biology, Oncology and Virology. According to data from OpenAlex, Donatella Labella has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Virology. Recurrent topics in Donatella Labella's work include Epigenetics and DNA Methylation (6 papers), Histone Deacetylase Inhibitors Research (4 papers) and Cancer-related gene regulation (2 papers). Donatella Labella is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Histone Deacetylase Inhibitors Research (4 papers) and Cancer-related gene regulation (2 papers). Donatella Labella collaborates with scholars based in Italy, France and United States. Donatella Labella's co-authors include Antonello Mai, Sérgio Valente, Lucia Altucci, Dante Rotili, Donatella Del Bufalo, Daniela Trisciuoglio, Gerald Brosch, Marco Miceli, Chiara Bigogno and Biagina Marrocco and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Donatella Labella

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donatella Labella Italy	8	289	113	35	28	22	8	394
Silviya D. Furdas Germany	9	277 1.0×	63 0.6×	53 1.5×	16 0.6×	14 0.6×	9	362
Biagina Marrocco Italy	14	414 1.4×	60 0.5×	33 0.9×	50 1.8×	37 1.7×	14	493
Christina Gros France	11	390 1.3×	73 0.6×	30 0.9×	36 1.3×	51 2.3×	15	460
Alexandre Erdmann France	7	405 1.4×	47 0.4×	31 0.9×	42 1.5×	60 2.7×	9	463
Kevin Houlihan United States	7	330 1.1×	39 0.3×	49 1.4×	12 0.4×	18 0.8×	9	416
Paula Perkins United States	8	241 0.8×	69 0.6×	99 2.8×	20 0.7×	8 0.4×	12	351
Tetsuya Kodama Japan	14	445 1.5×	115 1.0×	20 0.6×	18 0.6×	11 0.5×	47	521
Sai Kumar Chakka South Africa	12	139 0.5×	164 1.5×	28 0.8×	46 1.6×	7 0.3×	17	314
Tom E. McAllister United Kingdom	10	364 1.3×	88 0.8×	43 1.2×	64 2.3×	21 1.0×	16	429
Pierrick Craveur France	14	413 1.4×	34 0.3×	40 1.1×	16 0.6×	15 0.7×	17	503

Countries citing papers authored by Donatella Labella

Since Specialization

Citations

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

Fields of papers citing papers by Donatella Labella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatella Labella

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

All Works

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8 of 8 papers shown

Valente, Sérgio, Verónica Rodríguez, Ciro Mercurio, et al.. (2015). Pure enantiomers of benzoylamino-tranylcypromine: LSD1 inhibition, gene modulation in human leukemia cells and effects on clonogenic potential of murine promyelocytic blasts. European Journal of Medicinal Chemistry. 94. 163–174. 24 indexed citations

Rotili, Dante, Domenico Tarantino, Biagina Marrocco, et al.. (2014). Properly Substituted Analogues of BIX-01294 Lose Inhibition of G9a Histone Methyltransferase and Gain Selective Anti-DNA Methyltransferase 3A Activity. PLoS ONE. 9(5). e96941–e96941. 30 indexed citations

Gros, Christina, Virginie Nahoum, Céline Faux, et al.. (2014). New Insights on the Mechanism of Quinoline-based DNA Methyltransferase Inhibitors. Journal of Biological Chemistry. 290(10). 6293–6302. 50 indexed citations

Valente, Sérgio, Daniela Trisciuoglio, Teresa De Luca, et al.. (2014). 1,3,4-Oxadiazole-Containing Histone Deacetylase Inhibitors: Anticancer Activities in Cancer Cells. Journal of Medicinal Chemistry. 57(14). 6259–6265. 122 indexed citations

Valente, Sérgio, Verónica Rodríguez, Ciro Mercurio, et al.. (2014). Pure Diastereomers of a Tranylcypromine-Based LSD1 Inhibitor: Enzyme Selectivity and In-Cell Studies. ACS Medicinal Chemistry Letters. 6(2). 173–177. 14 indexed citations

Valente, Sérgio, Daniela Trisciuoglio, Maria Tardugno, et al.. (2013). tert‐Butylcarbamate‐Containing Histone Deacetylase Inhibitors: Apoptosis Induction, Cytodifferentiation, and Antiproliferative Activities in Cancer Cells. ChemMedChem. 8(5). 800–811. 17 indexed citations

Rotili, Dante, Stefano Tomassi, Mariarosaria Conte, et al.. (2013). Pan-Histone Demethylase Inhibitors Simultaneously Targeting Jumonji C and Lysine-Specific Demethylases Display High Anticancer Activities. Journal of Medicinal Chemistry. 57(1). 42–55. 95 indexed citations

Upadhyay, Anup K., Dante Rotili, Ji Woong Han, et al.. (2011). An Analog of BIX-01294 Selectively Inhibits a Family of Histone H3 Lysine 9 Jumonji Demethylases. Journal of Molecular Biology. 416(3). 319–327. 42 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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