Paolo Cappella

2.0k total citations
28 papers, 840 citations indexed

About

Paolo Cappella is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Paolo Cappella has authored 28 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Paolo Cappella's work include Microtubule and mitosis dynamics (8 papers), Cancer-related Molecular Pathways (8 papers) and Click Chemistry and Applications (5 papers). Paolo Cappella is often cited by papers focused on Microtubule and mitosis dynamics (8 papers), Cancer-related Molecular Pathways (8 papers) and Click Chemistry and Applications (5 papers). Paolo Cappella collaborates with scholars based in Italy, Switzerland and Belarus. Paolo Cappella's co-authors include Fabio Gasparri, Jürgen Moll, Paolo Ubezio, Maurizio Pulici, Francesco Montalenti, Enrico Pesenti, Arturo Galvani, Giovanni Sena, Maria Laura Giorgini and Francesco Sola and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Paolo Cappella

28 papers receiving 821 citations

Peers

Paolo Cappella

ONCOL

Rajan Gogna United States

Arabel Vollmann‐Zwerenz Germany

Amelia L. Parker Australia

Steven D. Cappell United States

Gavin D. Grant United States

Russell Bandle United States

Sara Pignatta Italy

Joan Grindlay United Kingdom

Tatsiana Kosciuk United States

Albert Herms Spain

Rajan Gogna United States

Paolo Cappella

546 ×1.0

266 ×1.0

ONCOL

121 ×0.5

318 ×3.8

27 ×0.3

Citations per year, relative to Paolo Cappella Paolo Cappella (= 1×) peers Rajan Gogna

Countries citing papers authored by Paolo Cappella

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Cappella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Cappella

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

All Works

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20 of 20 papers shown

Redaelli, Veronica, F. Luzi, Paolo Cappella, et al.. (2021). Neuroinflammation, body temperature and behavioural changes in CD1 male mice undergoing acute restraint stress: An exploratory study. PLoS ONE. 16(11). e0259938–e0259938. 3 indexed citations

Fugazza, Cristina, M. Marini, Maria Franca Marongiu, et al.. (2015). A Novel High-Content Immunofluorescence Assay as a Tool to Identify at the Single Cell Level γ-Globin Inducing Compounds. PLoS ONE. 10(10). e0141083–e0141083. 4 indexed citations

Cappella, Paolo, Maurizio Pulici, & Fabio Gasparri. (2015). Application of Click Chemistry Conditions for 5‐Bromo‐2′‐Deoxyuridine Determination Through Fenton and Related Reactions. Current Protocols in Cytometry. 71(1). 1 indexed citations

Cappella, Paolo & Fabio Gasparri. (2013). Highly Multiplexed Phenotypic Imaging for Cell Proliferation Studies. SLAS DISCOVERY. 19(1). 145–157. 12 indexed citations

Cappella, Paolo, Vincenzo Giansanti, Maurizio Pulici, & Fabio Gasparri. (2013). From “Click” to “Fenton” chemistry for 5‐bromo‐2′‐deoxyuridine determination. Cytometry Part A. 83(11). 989–1000. 6 indexed citations

Caruso, Michele, Barbara Valsasina, Dario Ballinari, et al.. (2011). 5-(2-Amino-pyrimidin-4-yl)-1H-pyrrole and 2-(2-amino-pyrimidin-4-yl)-1,5,6,7-tetrahydro-pyrrolo[3,2-c]pyridin-4-one derivatives as new classes of selective and orally available Polo-like kinase 1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(1). 96–101. 17 indexed citations

Bosotti, Roberta, Patrizia Carpinelli, Sandra Healy, et al.. (2011). Transcriptional analysis of the Aurora inhibitor Danusertib leading to biomarker identification in TP53 wild type cells. Gene. 494(2). 202–208. 5 indexed citations

Colombo, Riccardo, Marina Caldarelli, Milena Mennecozzi, et al.. (2010). Targeting the Mitotic Checkpoint for Cancer Therapy with NMS-P715, an Inhibitor of MPS1 Kinase. Cancer Research. 70(24). 10255–10264. 129 indexed citations

Cappella, Paolo, et al.. (2010). Miniaturizing bromodeoxyuridine incorporation enables the usage of flow cytometry for cell cycle analysis of adherent tissue culture cells for high throughput screening. Cytometry Part A. 77A(10). 953–961. 3 indexed citations

10.

Perrera, Claudia, Riccardo Colombo, Barbara Valsasina, et al.. (2010). Identification of Myb-binding Protein 1A (MYBBP1A) as a Novel Substrate for Aurora B Kinase. Journal of Biological Chemistry. 285(16). 11775–11785. 24 indexed citations

11.

Stellari, Fabio, et al.. (2010). In vivo imaging of early stage apoptosis by measuring real-time caspase-3/7 activation. APOPTOSIS. 16(2). 198–207. 59 indexed citations

12.

Ubezio, Paolo, Monica Lupi, Davide Branduardi, et al.. (2009). Quantitative Assessment of the Complex Dynamics of G1, S, and G2-M Checkpoint Activities. Cancer Research. 69(12). 5234–5240. 19 indexed citations

13.

Cappella, Paolo, Fabio Gasparri, Maurizio Pulici, & Jürgen Moll. (2008). A novel method based on click chemistry, which overcomes limitations of cell cycle analysis by classical determination of BrdU incorporation, allowing multiplex antibody staining. Cytometry Part A. 73A(7). 626–636. 83 indexed citations

14.

Cappella, Paolo, Fabio Gasparri, Maurizio Pulici, & Jürgen Moll. (2008). Cell Proliferation Method: Click Chemistry Based on BrdU Coupling for Multiplex Antibody Staining. Current Protocols in Cytometry. 45(1). 7.34.1–7.34.17. 28 indexed citations

15.

Gasparri, Fabio, Paolo Cappella, & Arturo Galvani. (2006). Multiparametric Cell Cycle Analysis by Automated Microscopy. SLAS DISCOVERY. 11(6). 586–598. 51 indexed citations

16.

Soncini, Chiara, Patrizia Carpinelli, Laura Gianellini, et al.. (2006). PHA-680632, a Novel Aurora Kinase Inhibitor with Potent Antitumoral Activity. Clinical Cancer Research. 12(13). 4080–4089. 126 indexed citations

17.

Lupi, Monica, et al.. (2005). Interpreting cell cycle effects of drugs: the case of melphalan. Cancer Chemotherapy and Pharmacology. 57(4). 443–457. 21 indexed citations

18.

Cappella, Paolo, Daniela Tomasoni, Mario Faretta, et al.. (2001). Cell cycle effects of gemcitabine. International Journal of Cancer. 93(3). 401–408. 70 indexed citations

19.

Sena, Giovanni, et al.. (1999). Measuring the complexity of cell cycle arrest and killing of drugs: Kinetics of phase-specific effects induced by Taxol. Cytometry. 37(2). 113–124. 40 indexed citations

20.

Sena, Giovanni, et al.. (1999). Measuring the complexity of cell cycle arrest and killing of drugs: Kinetics of phase‐specific effects induced by Taxol. Cytometry. 37(2). 113–124. 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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