Massimo Donadelli

104 papers receiving 11.3k citations

Massimo Donadelli's Hit Papers

To metabolomics and beyond: a technological portfolio to investigate cancer metabolism 2023 · 177 citations
1770+3+6Years since publication1k2k3k4k

Peers

Massimo Donadelli
Comparison fields: 5 of 147
  • Epidemiology 4k
  • Aging 119
  • Cancer Research 908
  • Oncology 1.2k
  • Molecular Biology 2.8k
Replace Sujit K. Bhutia with:
Sujit K. Bhutia India
Zhuowei Hu China
Gabriella D’Orazi Italy
Yun Dai United States
Ashok Kumar Saluja United States
Shile Huang United States
Yong‐Yeon Cho South Korea
Stefania Meschini Italy
Jennifer S. Carew United States
Daniela Trisciuoglio Italy
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Massimo Donadelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Donadelli Line = papers co-authored together Massimo Donadelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164680
2
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212067
3 2011195
4
To metabolomics and beyond: a technological portfolio to investigate cancer metabolism
Hit paper breakdown →
2023177
5 2019165
6 2013146
7 2013146
8 2021144
9 2007135
10 2021135
11 2013134
12 2014127
13 2016125
14 2020112
15 2020107
16 200393
17 201290
18 201677
19 201276
20 200574

About Massimo Donadelli

Massimo Donadelli is a scholar working on Oncology, Cancer Research, Epidemiology, Molecular Biology and Spectroscopy, having authored 106 papers that have together received 11.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (21 papers), Autophagy in Disease and Therapy (21 papers), Cancer-related Molecular Pathways (16 papers), Cancer, Hypoxia, and Metabolism (14 papers), Histone Deacetylase Inhibitors Research (9 papers), Advanced Proteomics Techniques and Applications (6 papers), Cell death mechanisms and regulation (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Epidemiology (4k citations), Aging (119 citations), Cancer Research (908 citations), Oncology (1.2k citations) and Molecular Biology (2.8k citations). Massimo Donadelli has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Marta Palmieri, Ilaria Dando, Aldo Scarpa, Elisa Dalla Pozza, Marco Cordani, Maria Teresa Scupoli, Raffaella Pacchiana, Chiara Costanzo, Giovanna Butera and Chiara Riganti. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Experimental & Clinical Cancer Research, International Journal of Molecular Sciences, Free Radical Biology and Medicine and Electrophoresis.

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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