Sonia Navas

3.8k total citations · 1 hit paper
54 papers, 2.9k citations indexed

About

Sonia Navas is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Sonia Navas has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hepatology, 25 papers in Epidemiology and 13 papers in Infectious Diseases. Recurrent topics in Sonia Navas's work include Hepatitis C virus research (29 papers), Hepatitis B Virus Studies (19 papers) and Liver Disease Diagnosis and Treatment (12 papers). Sonia Navas is often cited by papers focused on Hepatitis C virus research (29 papers), Hepatitis B Virus Studies (19 papers) and Liver Disease Diagnosis and Treatment (12 papers). Sonia Navas collaborates with scholars based in United States, Spain and Switzerland. Sonia Navas's co-authors include Susan R. Weiss, Julio Martín‐García, Inmaculada Castillo, Vicente Carréño, Gokul Swaminathan, Juan Antonio Quiroga, Michael J. Bouchard, Renzo Perales‐Linares, V. Carreño and Margarita Pardo and has published in prestigious journals such as Journal of Molecular Biology, Hepatology and Biochemistry.

In The Last Decade

Sonia Navas

54 papers receiving 2.8k citations

Hit Papers

Coronavirus Pathogenesis and the Emerging Pathogen Severe... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Navas United States 28 1.1k 993 967 545 452 54 2.9k
Yasunori Watanabe Japan 27 1.5k 1.3× 1.4k 1.4× 1.4k 1.5× 1.5k 2.8× 298 0.7× 93 4.5k
Deborah R. Taylor United States 26 867 0.8× 1.0k 1.0× 1.1k 1.2× 1.2k 2.2× 226 0.5× 39 3.4k
Takeshi Tanaka Japan 33 615 0.5× 2.4k 2.5× 2.6k 2.7× 499 0.9× 373 0.8× 100 4.3k
Thomas von Hahn Germany 32 717 0.6× 2.0k 2.0× 2.2k 2.2× 1.0k 1.9× 227 0.5× 105 4.5k
Takasuke Fukuhara Japan 25 399 0.4× 896 0.9× 1.1k 1.1× 636 1.2× 104 0.2× 123 2.6k
Michael R. Beard Australia 35 925 0.8× 2.2k 2.2× 2.2k 2.3× 1.2k 2.2× 241 0.5× 84 5.0k
Zania Stamataki United Kingdom 26 654 0.6× 1.6k 1.6× 1.7k 1.7× 515 0.9× 87 0.2× 63 3.4k
Artur Kaul Germany 21 566 0.5× 1.7k 1.7× 2.0k 2.1× 744 1.4× 159 0.4× 35 3.0k
Xiaonan Zhang China 29 477 0.4× 1.3k 1.3× 938 1.0× 778 1.4× 196 0.4× 100 2.6k
Takayuki Hishiki Japan 23 441 0.4× 1.0k 1.0× 1.1k 1.1× 844 1.5× 85 0.2× 44 2.6k

Countries citing papers authored by Sonia Navas

Since Specialization
Citations

This map shows the geographic impact of Sonia Navas'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 Sonia Navas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Navas more than expected).

Fields of papers citing papers by Sonia Navas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia Navas. 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 Sonia Navas. The network helps show where Sonia Navas may publish in the future.

Co-authorship network of co-authors of Sonia Navas

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Navas. A scholar is included among the top collaborators of Sonia Navas 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 Sonia Navas. Sonia Navas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Navas, Sonia, et al.. (2025). Interferon‐induced protein ISG15 in the central nervous system, quo vadis?. FEBS Letters. 599(21). 2980–3011. 3 indexed citations
2.
Canziani, Gabriela, Fengwen Zhang, E. Gary, et al.. (2023). Irreversible Inactivation of SARS-CoV-2 by Lectin Engagement with Two Glycan Clusters on the Spike Protein. Biochemistry. 62(14). 2115–2127. 4 indexed citations
4.
Swaminathan, Gokul, Sonia Navas, & Julio Martín‐García. (2013). MicroRNAs and HIV-1 Infection: Antiviral Activities and Beyond. Journal of Molecular Biology. 426(6). 1178–1197. 91 indexed citations
5.
Swaminathan, Gokul, Fiorella Rossi, Luz‐Jeannette Sierra, et al.. (2012). A Role for microRNA-155 Modulation in the Anti-HIV-1 Effects of Toll-Like Receptor 3 Stimulation in Macrophages. PLoS Pathogens. 8(9). e1002937–e1002937. 95 indexed citations
6.
Bouchard, Michael J. & Sonia Navas. (2010). Hepatitis B and C virus hepatocarcinogenesis: Lessons learned and future challenges. Cancer Letters. 305(2). 123–143. 118 indexed citations
7.
Navas, Sonia, Maarten Brom, & Susan R. Weiss. (2006). Role of the Replicase Gene of Murine Coronavirus JHM Strain in Hepatitis. Advances in experimental medicine and biology. 581. 415–420. 1 indexed citations
8.
Zuo, X, Michael R. Mattern, David E. Sterner, et al.. (2005). Expression and purification of SARS coronavirus proteins using SUMO-fusions. Protein Expression and Purification. 42(1). 100–110. 68 indexed citations
10.
Navas, Sonia & Susan R. Weiss. (2003). SARS: Lessons Learned from Other Coronaviruses. Viral Immunology. 16(4). 461–474. 40 indexed citations
11.
Navas, Sonia & Susan R. Weiss. (2003). Murine Coronavirus-Induced Hepatitis: JHM Genetic Background Eliminates A59 Spike-Determined Hepatotropism. Journal of Virology. 77(8). 4972–4978. 48 indexed citations
12.
Navas, Sonia, Ming Ming Chua, Jayasri Das Sarma, et al.. (2001). Role of the Spike Protein in Murine Coronavirus Induced Hepatitis: An in vivo Study Using Targeted RNA Recombination. Advances in experimental medicine and biology. 494. 139–144. 8 indexed citations
13.
Martín‐García, Julio, Sonia Navas, M. Teresa Fernández‐Sánchez, et al.. (1999). In vitro effect of amantadine and interferon α-2a on hepatitis C virus markers in cultured peripheral blood mononuclear cells from hepatitis C virus-infected patients. Antiviral Research. 42(1). 59–70. 34 indexed citations
14.
15.
Quiroga, Jorge, Margarita Pardo, Sonia Navas, Julio Martín‐García, & V. Carreño. (1996). Patterns of Immune Responses to the Host-Encoded GOR and Hepatitis C Virus Core-Derived Epitopes with Relation to Hepatitis C Viremia, Genotypes, and Liver Disease Severity. The Journal of Infectious Diseases. 173(2). 300–305. 8 indexed citations
16.
Navas, Sonia, Antonio Madejón, Javier Bartolomé, et al.. (1995). Hepatitis B and D genomes in hepatitis B surface antigen negative patients with chronic hepatitis C. Journal of Medical Virology. 45(2). 168–173. 26 indexed citations
17.
Pardo, Margarita, Inmaculada Castillo, Sonia Navas, & V. Carreño. (1995). Treatment of chronic hepatitis C with cirrhosis with recombinant human granulocyte colony‐stimulating factor plus recombinant interferon‐alpha. Journal of Medical Virology. 45(4). 439–444. 16 indexed citations
18.
Navas, Sonia, Jorge del Romero, Soledad García, et al.. (1993). Treatment with recombinant α‐interferon of chronic hepatitis C in anti‐HIV‐positive patients. Journal of Medical Virology. 40(2). 107–111. 70 indexed citations
19.
Caramelo, Carlos, Alberto Ortíz, Juan Carlos Porres, et al.. (1993). Liver Disease Patterns in Hemodialysis Patients With Antibodies to Hepatitis C Virus. American Journal of Kidney Diseases. 22(6). 822–828. 63 indexed citations
20.
Ruíz-Moreno, M, et al.. (1992). Treatment of Children With Chronic Hepatitis C With Recombinant Interferon–α: A Pilot Study. Hepatology. 16(4). 882–885. 68 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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