Marco Ballarini

491 total citations
8 papers, 328 citations indexed

About

Marco Ballarini is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marco Ballarini has authored 8 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Marco Ballarini's work include Histone Deacetylase Inhibitors Research (5 papers), Protein Degradation and Inhibitors (4 papers) and Epigenetics and DNA Methylation (4 papers). Marco Ballarini is often cited by papers focused on Histone Deacetylase Inhibitors Research (5 papers), Protein Degradation and Inhibitors (4 papers) and Epigenetics and DNA Methylation (4 papers). Marco Ballarini collaborates with scholars based in Italy and United States. Marco Ballarini's co-authors include Saverio Minucci, Pier Giuseppe Pelicci, Caterina A. M. La Porta, Paola Perego, F. Facchetti, Sara Previdi, Simona Ronzoni, Mario Faretta, Lee J. Martin and Qing Chang and has published in prestigious journals such as Developmental Cell, British Journal of Cancer and Frontiers in Cellular Neuroscience.

In The Last Decade

Marco Ballarini

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Ballarini Italy	6	279	48	25	22	20	8	328
Madeleine S.Q. Kortenhorst United States	8	296 1.1×	102 2.1×	18 0.7×	22 1.0×	6 0.3×	11	349
Amaia Arruabarrena-Aristorena Spain	6	209 0.7×	34 0.7×	11 0.4×	71 3.2×	10 0.5×	7	276
Olaya Santiago‐Fernández United States	8	202 0.7×	27 0.6×	18 0.7×	18 0.8×	8 0.4×	10	294
Vendela Parrow Sweden	12	222 0.8×	42 0.9×	16 0.6×	46 2.1×	79 4.0×	18	341
Matthew R. Rowe New Zealand	6	226 0.8×	26 0.5×	14 0.6×	74 3.4×	16 0.8×	8	318
Madeline Leahy Ireland	6	220 0.8×	30 0.6×	7 0.3×	51 2.3×	8 0.4×	6	288
Felix Agbo United States	8	232 0.8×	192 4.0×	16 0.6×	23 1.0×	37 1.9×	14	356
Pu Yan China	8	399 1.4×	130 2.7×	10 0.4×	20 0.9×	9 0.5×	14	487
Elyshia McNamara Australia	11	352 1.3×	31 0.6×	63 2.5×	14 0.6×	12 0.6×	21	507
Sabrina Smith United States	7	286 1.0×	23 0.5×	14 0.6×	16 0.7×	5 0.3×	16	343

Countries citing papers authored by Marco Ballarini

Since Specialization

Citations

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

Fields of papers citing papers by Marco Ballarini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ballarini

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ballarini. A scholar is included among the top collaborators of Marco Ballarini 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 Marco Ballarini. Marco Ballarini 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

Amatori, Stefano, Marco Ballarini, Alice Faversani, et al.. (2014). PAT-ChIP coupled with laser microdissection allows the study of chromatin in selected cell populations from paraffin-embedded patient samples. Epigenetics & Chromatin. 7(1). 18–18. 19 indexed citations

Martin, Lee J., Daniele Fancelli, Margaret Wong, et al.. (2014). GNX-4728, a novel small molecule drug inhibitor of mitochondrial permeability transition, is therapeutic in a mouse model of amyotrophic lateral sclerosis. Frontiers in Cellular Neuroscience. 8. 433–433. 56 indexed citations

Rocca, Andrea, Saverio Minucci, Giulio Tosti, et al.. (2009). A phase I–II study of the histone deacetylase inhibitor valproic acid plus chemoimmunotherapy in patients with advanced melanoma. British Journal of Cancer. 100(1). 28–36. 67 indexed citations

Gargiulo, Gaetano, Samuel Lévy, Gabriele Bucci, et al.. (2009). NA-Seq: A Discovery Tool for the Analysis of Chromatin Structure and Dynamics during Differentiation. Developmental Cell. 16(3). 466–481. 46 indexed citations

Ronzoni, Simona, Mario Faretta, Marco Ballarini, Pier Giuseppe Pelicci, & Saverio Minucci. (2008). Assessment of Histone Acetylation Levels in Relation to Cell Cycle Phase. Current Protocols in Cytometry. 46(1). Unit 7.35–Unit 7.35. 1 indexed citations

Ronzoni, Simona, Mario Faretta, Marco Ballarini, Pier Giuseppe Pelicci, & Saverio Minucci. (2005). New method to detect histone acetylation levels by flow cytometry. Cytometry Part A. 66A(1). 52–61. 54 indexed citations

Ballarini, Marco, et al.. (2004). Francesco Petrarca : manoscritti e libri a stampa della biblioteca ambrosiana. 1 indexed citations

Facchetti, F., Sara Previdi, Marco Ballarini, et al.. (2004). Modulation of pro- and anti-apoptotic factors in human melanoma cells exposed to histone deacetylase inhibitors. APOPTOSIS. 9(5). 573–582. 84 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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