Umberto De Marchi
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 5
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 28
- ATP Synthase and ATPases Research 11
- Metabolism, Diabetes, and Cancer 5
- Biochemistry top 5%
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- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 3
- Geriatrics and Gerontology top 5%
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- Pancreatic function and diabetes 16
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- Adipose Tissue and Metabolism 6
- Co-authors
- Mario ZorattiIldikò SzabóAndreas WiederkehrNicolas DemaurexLucia BiasuttoJaime Santo‐DomingoAntonio ToninelloCyril Castelbou
- Journals
- Journal of Biological Chemistry (4 papers)Nature Communications (1 paper)The FASEB Journal (3 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Umberto De Marchi
46 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Clinical Biochemistry 153
- Molecular Biology 1.2k
- Biochemistry 90
- Cellular and Molecular Neuroscience 274
- Geriatrics and Gerontology 58
Countries citing papers authored by Umberto De Marchi
This map shows the geographic impact of Umberto De Marchi'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 Umberto De Marchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto De Marchi more than expected).
Fields of papers citing papers by Umberto De Marchi
This network shows the impact of papers produced by Umberto De Marchi. 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 Umberto De Marchi. The network helps show where Umberto De Marchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Umberto De Marchi, 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 | 2025 | 2 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 31 | |
| 6 | 2017 | 38 | |
| 7 | 2014 | 63 | |
| 8 | 2010 | 22 | |
| 9 | 2009 | 99 | |
| 10 | 2009 | 43 | |
| 11 | 2009 | 99 | |
| 12 | 2009 | 3 | |
| 13 | 2009 | 31 | |
| 14 | 2008 | 27 | |
| 15 | 2008 | 54 | |
| 16 | 2006 | 46 | |
| 17 | 2005 | 24 | |
| 18 | 2005 | 69 | |
| 19 | 2004 | 184 | |
| 20 | 2004 | 21 |
About Umberto De Marchi
Umberto De Marchi is a scholar working on Clinical Biochemistry, Aging and Geriatrics and Gerontology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (28 papers), Pancreatic function and diabetes (16 papers), ATP Synthase and ATPases Research (11 papers), Adipose Tissue and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Metabolism and Genetic Disorders (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Clinical Biochemistry (153 citations), Molecular Biology (1.2k citations) and Biochemistry (90 citations). Umberto De Marchi has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Mario Zoratti, Ildikò Szabó, Andreas Wiederkehr, Nicolas Demaurex, Lucia Biasutto, Jaime Santo‐Domingo, Antonio Toninello, Cyril Castelbou, Jonathan Thévenet and Aurélie Hermant. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The FASEB Journal.
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.