Massimo Donadelli

13.8k total citations · 1 hit paper
90 papers, 4.0k citations indexed

About

Massimo Donadelli is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Massimo Donadelli has authored 90 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 37 papers in Oncology and 32 papers in Cancer Research. Recurrent topics in Massimo Donadelli's work include Cancer, Hypoxia, and Metabolism (24 papers), Autophagy in Disease and Therapy (20 papers) and Cancer-related Molecular Pathways (17 papers). Massimo Donadelli is often cited by papers focused on Cancer, Hypoxia, and Metabolism (24 papers), Autophagy in Disease and Therapy (20 papers) and Cancer-related Molecular Pathways (17 papers). Massimo Donadelli collaborates with scholars based in Italy, Spain and United States. Massimo Donadelli's co-authors include Marta Palmieri, Ilaria Dando, Elisa Dalla Pozza, Aldo Scarpa, Marco Cordani, Maria Teresa Scupoli, Raffaella Pacchiana, Claudia Fiorini, Chiara Costanzo and Giovanna Butera and has published in prestigious journals such as Nucleic Acids Research, Blood and PLoS ONE.

In The Last Decade

Massimo Donadelli

87 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

To metabolomics and beyond: a technological portfolio to investigate cancer metabolism

2023 138 citations Raffaella Pacchiana, Andrea Mafficini et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Donadelli Italy	39	2.5k	1.1k	1.0k	597	342	90	4.0k
Zhen Dong China	34	2.7k 1.1×	959 0.9×	966 0.9×	459 0.8×	449 1.3×	128	4.5k
Naihan Xu China	36	3.1k 1.2×	789 0.8×	1.2k 1.2×	671 1.1×	274 0.8×	83	4.3k
Marta Palmieri Italy	38	1.9k 0.8×	901 0.9×	786 0.8×	464 0.8×	359 1.0×	77	3.4k
Emilia Wiecheć Sweden	29	2.1k 0.9×	1.1k 1.0×	815 0.8×	416 0.7×	321 0.9×	46	3.7k
Yongjun Dang China	33	3.3k 1.3×	1.1k 1.0×	724 0.7×	645 1.1×	657 1.9×	101	5.2k
Weiqin Jiang United States	35	2.0k 0.8×	1.2k 1.1×	838 0.8×	463 0.8×	344 1.0×	129	4.4k
Marco Tafani Italy	34	2.5k 1.0×	673 0.6×	768 0.8×	739 1.2×	527 1.5×	95	4.4k
Lei Zhong China	32	2.8k 1.1×	871 0.8×	856 0.8×	694 1.2×	269 0.8×	104	5.3k
Shyng‐Shiou F. Yuan Taiwan	39	3.5k 1.4×	1.6k 1.5×	1.2k 1.2×	1.1k 1.8×	443 1.3×	192	6.3k
Gang Song China	29	2.4k 1.0×	755 0.7×	845 0.8×	285 0.5×	403 1.2×	71	4.0k

Countries citing papers authored by Massimo Donadelli

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Donadelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Donadelli

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

Pacchiana, Raffaella, Barbara Cisterna, Nidula Mullappilly, et al.. (2025). Mutant p53 affects the mitochondrial proteome, promoting mitochondrial fragmentation and OXPHOS in pancreatic ductal adenocarcinoma cells. FEBS Journal. 293(1). 156–174. 1 indexed citations

Galasso, Marilisa, Riccardo Moia, Chiara Cosentino, et al.. (2024). CAT rs1001179 Single Nucleotide Polymorphism Identifies an Aggressive Clinical Behavior in Chronic Lymphocytic Leukemia. Hematological Oncology. 42(6). e70002–e70002.

Behrooz, Amir Barzegar, Marco Cordani, Massimo Donadelli, & Saeid Ghavami. (2023). Metastatic outgrowth via the two-way interplay of autophagy and metabolism. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(3). 166824–166824. 16 indexed citations

Galbiati, Andrea, Raffaella Pacchiana, Chiara Borsari, et al.. (2023). Discovery of a spirocyclic 3-bromo-4,5-dihydroisoxazole covalent inhibitor of hGAPDH with antiproliferative activity against pancreatic cancer cells. European Journal of Medicinal Chemistry. 254. 115286–115286. 8 indexed citations

Pacchiana, Raffaella, Andrea Mafficini, Maria Teresa Scupoli, et al.. (2023). To metabolomics and beyond: a technological portfolio to investigate cancer metabolism. Signal Transduction and Targeted Therapy. 8(1). 137–137. 138 indexed citations breakdown →

Masini, Maria Angela, Marcello Manfredi, Anna Pastò, et al.. (2022). Prolonged exposure to simulated microgravity promotes stemness impairing morphological, metabolic and migratory profile of pancreatic cancer cells: a comprehensive proteomic, lipidomic and transcriptomic analysis. Cellular and Molecular Life Sciences. 79(5). 226–226. 15 indexed citations

Butera, Giovanna, Jessica Brandi, Chiara Cavallini, et al.. (2020). The Mutant p53-Driven Secretome Has Oncogenic Functions in Pancreatic Ductal Adenocarcinoma Cells. Biomolecules. 10(6). 884–884. 16 indexed citations

Chegaev, Konstantin, Elena Gazzano, Nidula Mullappilly, et al.. (2020). MRP5 nitration by NO-releasing gemcitabine encapsulated in liposomes confers sensitivity in chemoresistant pancreatic adenocarcinoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(12). 118824–118824. 17 indexed citations

Donadelli, Massimo. (2017). The cancer secretome and secreted biomarkers. Seminars in Cell and Developmental Biology. 78. 1–2. 7 indexed citations

10.

Cordani, Marco, Giovanna Butera, Raffaella Pacchiana, & Massimo Donadelli. (2016). Molecular interplay between mutant p53 proteins and autophagy in cancer cells. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1867(1). 19–28. 68 indexed citations

11.

Cordani, Marco, Raffaella Pacchiana, Giovanna Butera, et al.. (2016). Mutant p53 proteins alter cancer cell secretome and tumour microenvironment: Involvement in cancer invasion and metastasis. Cancer Letters. 376(2). 303–309. 57 indexed citations

12.

Fiorini, Claudia, et al.. (2014). Bovine seminal ribonuclease triggers Beclin1-mediated autophagic cell death in pancreatic cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(5). 976–984. 13 indexed citations

13.

Donadelli, Massimo, Ilaria Dando, Claudia Fiorini, & Marta Palmieri. (2014). Regulation of miR-23b expression and its dual role on ROS production and tumour development. Cancer Letters. 349(2). 107–113. 44 indexed citations

14.

Dando, Ilaria, Claudia Fiorini, Elisa Dalla Pozza, et al.. (2012). UCP2 inhibition triggers ROS-dependent nuclear translocation of GAPDH and autophagic cell death in pancreatic adenocarcinoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(3). 672–679. 86 indexed citations

15.

Caricasole, Andrea, Chiara Costanzo, Daniela Diamanti, et al.. (2008). Identification of a candidate alternative promoter region of the human Bcl2L11 (Bim) gene. BMC Molecular Biology. 9(1). 56–56. 7 indexed citations

16.

Scupoli, Maria Teresa, Massimo Donadelli, Federica Cioffi, et al.. (2008). Bone marrow stromal cells and the upregulation of interleukin-8 production in human T-cell acute lymphoblastic leukemia through the CXCL12/CXCR4 axis and the NF- B and JNK/AP-1 pathways. Haematologica. 93(4). 524–532. 45 indexed citations

17.

Donadelli, Massimo, Elisa Dalla Pozza, Chiara Costanzo, et al.. (2006). Increased stability of P21WAF1/CIP1 mRNA is required for ROS/ERK-dependent pancreatic adenocarcinoma cell growth inhibition by pyrrolidine dithiocarbamate. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(9). 917–926. 28 indexed citations

18.

Moore, Patrick S., Stefano Barbi, Massimo Donadelli, et al.. (2004). Gene expression profiling after treatment with the histone deacetylase inhibitor trichostatin A reveals altered expression of both pro- and anti-apoptotic genes in pancreatic adenocarcinoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1693(3). 167–176. 68 indexed citations

19.

Cecconi, Daniela, Hubert Astner, Massimo Donadelli, et al.. (2003). Proteomic analysis of pancreatic ductal carcinoma cells treated with 5‐aza‐2'‐deoxycytidine. Electrophoresis. 24(24). 4291–4303. 46 indexed citations

20.

Cecconi, Daniela, Aldo Scarpa, Massimo Donadelli, et al.. (2003). Proteomic profiling of pancreatic ductal carcinoma cell lines treated with trichostatin‐A. Electrophoresis. 24(11). 1871–1878. 37 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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