Lorena Navarro

753 total citations
10 papers, 602 citations indexed

About

Lorena Navarro is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Lorena Navarro has authored 10 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Lorena Navarro's work include interferon and immune responses (3 papers), Bacillus and Francisella bacterial research (3 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). Lorena Navarro is often cited by papers focused on interferon and immune responses (3 papers), Bacillus and Francisella bacterial research (3 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). Lorena Navarro collaborates with scholars based in United States and Sweden. Lorena Navarro's co-authors include Michael David, Jack E. Dixon, Neal M. Alto, Nancy C. Reich, Brian K. Weaver, Kerri Mowen, Steven Rodems, Deborah H. Spector, Roland Nordfelth and Susan S. Taylor and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and The Journal of Immunology.

In The Last Decade

Lorena Navarro

10 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorena Navarro United States 10 286 200 159 153 118 10 602
Naseema N. Khan United States 10 204 0.7× 336 1.7× 84 0.5× 208 1.4× 31 0.3× 16 670
Cécile Paroz Switzerland 10 70 0.2× 236 1.2× 139 0.9× 172 1.1× 61 0.5× 10 719
Hyung-Yong Kim South Korea 14 140 0.5× 163 0.8× 96 0.6× 89 0.6× 36 0.3× 25 604
A. Sebesteny United Kingdom 10 136 0.5× 168 0.8× 80 0.5× 140 0.9× 75 0.6× 22 510
Steven R. Fuhrmann United States 14 284 1.0× 203 1.0× 128 0.8× 45 0.3× 81 0.7× 17 713
Wiebke Beermann Germany 9 405 1.4× 261 1.3× 294 1.8× 58 0.4× 35 0.3× 9 713
Zachary M. Parker United States 9 359 1.3× 245 1.2× 196 1.2× 31 0.2× 43 0.4× 9 605
Mark F. Wiser United States 17 206 0.7× 280 1.4× 146 0.9× 47 0.3× 68 0.6× 44 724
Gregory Crimmins United States 7 174 0.6× 115 0.6× 52 0.3× 67 0.4× 24 0.2× 10 367
C G Bridges United Kingdom 14 210 0.7× 108 0.5× 514 3.2× 39 0.3× 77 0.7× 25 815

Countries citing papers authored by Lorena Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorena Navarro

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

All Works

10 of 10 papers shown
1.
Wright, Matthew E., et al.. (2014). Regulation of Yersinia Protein Kinase A (YpkA) Kinase Activity by Multisite Autophosphorylation and Identification of an N-terminal Substrate-binding Domain in YpkA. Journal of Biological Chemistry. 289(38). 26167–26177. 9 indexed citations
2.
Navarro, Lorena, Antonius Koller, Roland Nordfelth, et al.. (2007). Identification of a Molecular Target for the Yersinia Protein Kinase A. Molecular Cell. 26(4). 465–477. 78 indexed citations
3.
Navarro, Lorena, Neal M. Alto, & Jack E. Dixon. (2005). Functions of the Yersinia effector proteins in inhibiting host immune responses. Current Opinion in Microbiology. 8(1). 21–27. 100 indexed citations
4.
Navarro, Lorena, et al.. (2004). Cutting Edge: Anthrax Lethal Toxin Inhibits Activation of IFN-Regulatory Factor 3 by Lipopolysaccharide. The Journal of Immunology. 172(2). 747–751. 38 indexed citations
7.
Ruvolo, Vivian, et al.. (2003). The Epstein-Barr Virus SM Protein Induces STAT1 and Interferon-Stimulated Gene Expression. Journal of Virology. 77(6). 3690–3701. 36 indexed citations
8.
Navarro, Lorena & Michael David. (1999). p38-dependent Activation of Interferon Regulatory Factor 3 by Lipopolysaccharide. Journal of Biological Chemistry. 274(50). 35535–35538. 108 indexed citations
9.
Navarro, Lorena, Kerri Mowen, Steven Rodems, et al.. (1998). Cytomegalovirus Activates Interferon Immediate-Early Response Gene Expression and an Interferon Regulatory Factor 3-Containing Interferon-Stimulated Response Element-Binding Complex. Molecular and Cellular Biology. 18(7). 3796–3802. 139 indexed citations
10.
Kuhl, Sarah J., et al.. (1993). Diagnosis and Monitoring of Clostridium difficile Infections with the Polymerase Chain Reaction. Clinical Infectious Diseases. 16(Supplement_4). S234–S238. 45 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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