Jonathan Matalonga

427 total citations
7 papers, 220 citations indexed

About

Jonathan Matalonga is a scholar working on Surgery, Oncology and Immunology. According to data from OpenAlex, Jonathan Matalonga has authored 7 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Jonathan Matalonga's work include Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and interferon and immune responses (2 papers). Jonathan Matalonga is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and interferon and immune responses (2 papers). Jonathan Matalonga collaborates with scholars based in Spain, China and United States. Jonathan Matalonga's co-authors include Verónica Nin, Eduardo N. Chini, Juliana Camacho-Pereira, Shailendra Giri, Zhenkun Lou, Claudia C.S. Chini, Carlos Escande, Annabel F. Valledor, Antonio Celada and Mónica Pascual-García and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Jonathan Matalonga

6 papers receiving 217 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan Matalonga Spain	6	76	66	61	59	48	7	220
Jair Machado Espindola Netto United States	4	70 0.9×	60 0.9×	47 0.8×	17 0.3×	39 0.8×	4	300
Suzanne A. B. M. Aarts Netherlands	7	67 0.9×	68 1.0×	79 1.3×	5 0.1×	44 0.9×	8	254
Amruta Singh India	8	200 2.6×	20 0.3×	32 0.5×	11 0.2×	78 1.6×	11	284
Yosi Gozlan Israel	7	110 1.4×	181 2.7×	51 0.8×	15 0.3×	72 1.5×	11	356
Francesca R. Auciello Italy	6	141 1.9×	11 0.2×	15 0.2×	40 0.7×	42 0.9×	7	217
Shijia Bi China	4	139 1.8×	72 1.1×	32 0.5×	9 0.2×	53 1.1×	4	251
Yue Ren China	8	173 2.3×	6 0.1×	60 1.0×	21 0.4×	62 1.3×	19	317
Seongki Min South Korea	10	216 2.8×	9 0.1×	38 0.6×	16 0.3×	27 0.6×	13	325
Jay W. Yang China	6	210 2.8×	119 1.8×	16 0.3×	11 0.2×	93 1.9×	9	338
Zilong Li China	12	193 2.5×	8 0.1×	76 1.2×	44 0.7×	101 2.1×	20	380

Countries citing papers authored by Jonathan Matalonga

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Matalonga

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Matalonga. A scholar is included among the top collaborators of Jonathan Matalonga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Matalonga. Jonathan Matalonga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Glaría, Estibaliz, Pedro Martı́nez, Juan Vladimir de la Rosa, et al.. (2024). Liver X Receptors and Inflammatory-Induced C/EBPβ Selectively Cooperate to Control CD38 Transcription. Journal of Innate Immunity. 17(1). 56–77.

Zhao, Chengjian, Jonathan Matalonga, Joseph J. Lancman, et al.. (2022). Regenerative failure of intrahepatic biliary cells in Alagille syndrome rescued by elevated Jagged/Notch/Sox9 signaling. Proceedings of the National Academy of Sciences. 119(50). e2201097119–e2201097119. 14 indexed citations

Zhao, Chengjian, Joseph J. Lancman, Yi Yang, et al.. (2021). Intrahepatic cholangiocyte regeneration from an Fgf‐dependent extrahepatic progenitor niche in a zebrafish model of Alagille Syndrome. Hepatology. 75(3). 567–583. 13 indexed citations

Pulido-Salgado, Marta, José Vidal, Gerardo Garcia-Díaz Barriga, et al.. (2017). Myeloid C/EBPβ deficiency reshapes microglial gene expression and is protective in experimental autoimmune encephalomyelitis. Journal of Neuroinflammation. 14(1). 54–54. 28 indexed citations

Pascual-García, Mónica, Laura Rué, Theresa E. León, et al.. (2013). Reciprocal Negative Cross-Talk between Liver X Receptors (LXRs) and STAT1: Effects on IFN-γ–Induced Inflammatory Responses and LXR-Dependent Gene Expression. The Journal of Immunology. 190(12). 6520–6532. 41 indexed citations

Nin, Verónica, Carlos Escande, Claudia C.S. Chini, et al.. (2012). Role of Deleted in Breast Cancer 1 (DBC1) Protein in SIRT1 Deacetylase Activation Induced by Protein Kinase A and AMP-activated Protein Kinase. Journal of Biological Chemistry. 287(28). 23489–23501. 100 indexed citations

Pascual-García, Mónica, Josep Maria Casasa i Carbo, Theresa E. León, et al.. (2011). Liver X Receptors Inhibit Macrophage Proliferation through Downregulation of Cyclins D1 and B1 and Cyclin-Dependent Kinases 2 and 4. The Journal of Immunology. 186(8). 4656–4667. 24 indexed citations

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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