Maurizio Renna
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism 9
- Lysosomal Storage Disorders Research 5
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy 35
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 15
- Cellular transport and secretion 11
- Geriatrics and Gerontology top 2%
- Aging top 5%
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- Genetic Neurodegenerative Diseases 9
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- Parkinson's Disease Mechanisms and Treatments 6
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- Mitochondrial Function and Pathology 4
- Co-authors
- David C. RubinszteinKévin MoreauFiona M. MenziesClaudia PuriCarla F. BentoSovan SarkarBrinda RavikumarMaría Jiménez-Sánchez
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Maurizio Renna
54 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Physiology 608
- Epidemiology 3.5k
- Cell Biology 1.6k
- Geriatrics and Gerontology 188
- Aging 84
Countries citing papers authored by Maurizio Renna
This map shows the geographic impact of Maurizio Renna'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 Maurizio Renna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Renna more than expected).
Fields of papers citing papers by Maurizio Renna
This network shows the impact of papers produced by Maurizio Renna. 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 Maurizio Renna. The network helps show where Maurizio Renna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maurizio Renna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 14 | |
| 5 | 2019 | 26 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 36 | |
| 8 | 2017 | 122 | |
| 9 | 2016 | 99 | |
| 10 | 2015 | 46 | |
| 11 | 2013 | 330 | |
| 12 | 2010 | 134 | |
| 13 | 2009 | 34 | |
| 14 | 2009 | 22 | |
| 15 | 2009 | 204 | |
| 16 | 2009 | 59 | |
| 17 | 2006 | 19 | |
| 18 | 2005 | 33 | |
| 19 | 2004 | 23 | |
| 20 | 2002 | 37 |
About Maurizio Renna
Maurizio Renna is a scholar working on Physiology, Cell Biology and Epidemiology, having authored 55 papers that have together received 5.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (35 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Cellular transport and secretion (11 papers), Genetic Neurodegenerative Diseases (9 papers), Calcium signaling and nucleotide metabolism (9 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Lysosomal Storage Disorders Research (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Physiology (608 citations), Epidemiology (3.5k citations) and Cell Biology (1.6k citations). Maurizio Renna has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include David C. Rubinsztein, Kévin Moreau, Fiona M. Menzies, Claudia Puri, Carla F. Bento, Sovan Sarkar, Brinda Ravikumar, María Jiménez-Sánchez, Viktor I. Korolchuk and Benjamin R. Underwood. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.
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.