Matteo Sorge
Impact in
- Spectroscopy top 10%
- Advanced NMR Techniques and Applications
- Biophysics top 10%
- Electron Spin Resonance Studies
Papers in
-
- Heat shock proteins research 5
- Muscle Physiology and Disorders 4
- ATP Synthase and ATPases Research 2
- Signaling Pathways in Disease 1
-
- Cardiac Fibrosis and Remodeling 2
- Co-authors
- Mara Brancaccio (12 shared papers)Gisèle Bonne (1 shared paper)Carla Carrera (1 shared paper)Antoine Muchir (1 shared paper)Francesca Reineri (1 shared paper)Silvio Aime (1 shared paper)Eleonora Cavallari (1 shared paper)Laura Seclì (3 shared papers)
- Journals
- Journal of Cachexia Sarcopenia and Muscle (2 papers)Scientific Reports (1 paper)Cells (1 paper)Cancer Letters (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Matteo Sorge
15 papers receiving 435 citations
Peers
Comparison fields: 5 of 69
- Spectroscopy 126
- Biophysics 37
- Biomaterials 59
- Cell Biology 50
- Biochemistry 20
Countries citing papers authored by Matteo Sorge
This map shows the geographic impact of Matteo Sorge'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 Matteo Sorge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Sorge more than expected).
Fields of papers citing papers by Matteo Sorge
This network shows the impact of papers produced by Matteo Sorge. 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 Matteo Sorge. The network helps show where Matteo Sorge may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Sorge, 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 | 2018 | 128 | |
| 2 | 2017 | 68 | |
| 3 | 2019 | 54 | |
| 4 | 2017 | 47 | |
| 5 | 2018 | 42 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2016 | 13 | |
| 10 | 2020 | 10 | |
| 11 | 2022 | 9 | |
| 12 | Modulation of LTCC Pathways by a Melusin Mimetic Increases Ventricular Contractility During LPS-Induced Cardiomyopathy | 2022 | 4 |
| 13 | 2024 | 2 | |
| 14 | 2020 | 2 | |
| 15 | [Possible errors in diagnosis of left atrial thrombosis in transesophageal echocardiography]. | 1996 | 2 |
About Matteo Sorge
Matteo Sorge is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cell Biology and Rehabilitation, having authored 15 papers that have together received 436 indexed citations. Recurring topics across this work include Heat shock proteins research (5 papers), Muscle Physiology and Disorders (4 papers), ATP Synthase and ATPases Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Adipose Tissue and Metabolism (2 papers), Exercise and Physiological Responses (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Spectroscopy (126 citations), Biophysics (37 citations), Biomaterials (59 citations), Cell Biology (50 citations) and Biochemistry (20 citations). Matteo Sorge has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Mara Brancaccio, Gisèle Bonne, Carla Carrera, Antoine Muchir, Francesca Reineri, Silvio Aime, Eleonora Cavallari, Laura Seclì, Simona Saponara and Ilaria Buondonno. Their work appears in journals such as Journal of Cachexia Sarcopenia and Muscle, Scientific Reports, Cells, Cancer Letters and Frontiers in Cell and Developmental Biology.
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.