Jonathan Matalonga
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Adipose Tissue and Metabolism
Papers in
-
- Calcium signaling and nucleotide metabolism 2
- Oncology 4
- Drug Transport and Resistance Mechanisms 3
- PARP inhibition in cancer therapy 1
- Co-authors
- Zhenkun Lou (1 shared paper)Claudia C.S. Chini (1 shared paper)Verónica Nin (1 shared paper)Shailendra Giri (1 shared paper)Eduardo N. Chini (2 shared papers)Juliana Camacho-Pereira (1 shared paper)Carlos Escande (1 shared paper)Annabel F. Valledor (4 shared papers)
- Journals
- The Journal of Immunology (2 papers)Journal of Neuroinflammation (1 paper)Journal of Biological Chemistry (1 paper)Molecular and Cellular Biology (1 paper)Hepatology (1 paper)
- Partner nations
- SpainUnited StatesChina
In The Last Decade
Jonathan Matalonga
9 papers receiving 361 citations
Peers
Comparison fields: 5 of 58
- Geriatrics and Gerontology 83
- Physiology 66
- Immunology 107
- Biological Psychiatry 8
- Neurology 25
Countries citing papers authored by Jonathan Matalonga
This map shows the geographic impact of Jonathan Matalonga'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 Jonathan Matalonga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Matalonga more than expected).
Fields of papers citing papers by Jonathan Matalonga
This network shows the impact of papers produced by Jonathan Matalonga. 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 Jonathan Matalonga. The network helps show where Jonathan Matalonga may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Matalonga, 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 | 2012 | 104 | |
| 2 | 2017 | 98 | |
| 3 | 2013 | 43 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 29 | |
| 6 | 2011 | 27 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2024 | 1 |
About Jonathan Matalonga
Jonathan Matalonga is a scholar working on Physiology, Oncology, Hepatology, Surgery and Geriatrics and Gerontology, having authored 9 papers that have together received 367 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Liver physiology and pathology (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Immune Cell Function and Interaction (1 paper), Pediatric Hepatobiliary Diseases and Treatments (1 paper), interferon and immune responses (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Geriatrics and Gerontology (83 citations), Physiology (66 citations), Immunology (107 citations), Biological Psychiatry (8 citations) and Neurology (25 citations). Jonathan Matalonga has collaborated with scholars based in Spain, United States and China. Frequent co-authors include Zhenkun Lou, Claudia C.S. Chini, Verónica Nin, Shailendra Giri, Eduardo N. Chini, Juliana Camacho-Pereira, Carlos Escande, Annabel F. Valledor, Josep Maria Casasa i Carbo and Antonio Rodríguez Celada. Their work appears in journals such as The Journal of Immunology, Journal of Neuroinflammation, Journal of Biological Chemistry, Molecular and Cellular Biology and Hepatology.
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.