Beatriz Lázaro

3.9k total citations
21 papers, 441 citations indexed

About

Beatriz Lázaro is a scholar working on Molecular Biology, Agronomy and Crop Science and Spectroscopy. According to data from OpenAlex, Beatriz Lázaro has authored 21 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Agronomy and Crop Science and 3 papers in Spectroscopy. Recurrent topics in Beatriz Lázaro's work include Viral Infectious Diseases and Gene Expression in Insects (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Machine Learning in Bioinformatics (2 papers). Beatriz Lázaro is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Machine Learning in Bioinformatics (2 papers). Beatriz Lázaro collaborates with scholars based in Spain, United Kingdom and United States. Beatriz Lázaro's co-authors include Aurora Fernández‐Astorga, Ana Audícana, Ildefonso Perales, José M. Fraile, José A. Mayoral, Bernard Coq, Nicoletta Ravasio, Matteo Guidotti, Michel Fédérighi and Albert Rossero and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Beatriz Lázaro

20 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Lázaro Spain 11 133 117 88 73 60 21 441
Rita Šiugždinienė Lithuania 13 128 1.0× 121 1.0× 45 0.5× 119 1.6× 41 0.7× 37 477
Mohammad Soleimani Iran 12 98 0.7× 123 1.1× 56 0.6× 58 0.8× 21 0.3× 57 529
Juliette Tinker United States 11 107 0.8× 128 1.1× 99 1.1× 50 0.7× 131 2.2× 20 418
Walid Mousa Egypt 10 78 0.6× 99 0.8× 83 0.9× 48 0.7× 16 0.3× 42 351
M. Ann S. McMahon United Kingdom 11 100 0.8× 237 2.0× 67 0.8× 61 0.8× 66 1.1× 17 585
Yucheng Zhang China 13 262 2.0× 79 0.7× 33 0.4× 63 0.9× 40 0.7× 17 501
Zeina Kassaify Lebanon 12 102 0.8× 130 1.1× 46 0.5× 48 0.7× 19 0.3× 20 445
Ricardo Oliveira Portugal 11 203 1.5× 75 0.6× 172 2.0× 170 2.3× 35 0.6× 33 594
Ronan R. McCarthy United Kingdom 17 347 2.6× 58 0.5× 28 0.3× 57 0.8× 107 1.8× 43 824
Julita Nowakowska Poland 12 181 1.4× 83 0.7× 111 1.3× 61 0.8× 17 0.3× 34 572

Countries citing papers authored by Beatriz Lázaro

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Lázaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Lázaro

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Lázaro. A scholar is included among the top collaborators of Beatriz Lázaro 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 Beatriz Lázaro. Beatriz Lázaro 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.
Pei, Jimin, Antonina Andreeva, Sara Chuguransky, et al.. (2024). Bridging the Gap between Sequence and Structure Classifications of Proteins with AlphaFold Models. Journal of Molecular Biology. 436(22). 168764–168764. 5 indexed citations
2.
Paysan‐Lafosse, Typhaine, Antonina Andreeva, Matthias Blum, et al.. (2024). The Pfam protein families database: embracing AI/ML. Nucleic Acids Research. 53(D1). D523–D534. 49 indexed citations
3.
Schaeffer, R. Dustin, Antonina Andreeva, Sara Chuguransky, et al.. (2024). ECOD: integrating classifications of protein domains from experimental and predicted structures. Nucleic Acids Research. 53(D1). D411–D418. 13 indexed citations
4.
5.
Prieto, Julio G., et al.. (2018). Stability of the viscoelastic properties of hyaluronic acid hydrogels with different crosslinking degrees in in vitro models of oxidative stress. Osteoarthritis and Cartilage. 26. S289–S290. 1 indexed citations
6.
Lázaro, Beatriz, et al.. (2018). fabH deletion increases DHA production in Escherichia coli expressing Pfa genes. Microbial Cell Factories. 17(1). 88–88. 7 indexed citations
7.
Lázaro, Beatriz, et al.. (2018). Characterization of the visco-elastic properties of hyaluronic acid. Biorheology. 55(1). 41–50. 7 indexed citations
8.
Boshra, Hani, et al.. (2017). DNA vaccination regimes against Schmallenberg virus infection in IFNAR −/− mice suggest two targets for immunization. Antiviral Research. 141. 107–115. 18 indexed citations
9.
Lázaro, Beatriz, et al.. (2017). Heterologous expression of a thermophilic diacylglycerol acyltransferase triggers triglyceride accumulation in Escherichia coli. PLoS ONE. 12(4). e0176520–e0176520. 10 indexed citations
10.
Juárez, Antonio, Val F. Lanza, Beatriz Lázaro, et al.. (2017). Nutrient starvation leading to triglyceride accumulation activates the Entner Doudoroff pathway in Rhodococcus jostii RHA1. Microbial Cell Factories. 16(1). 35–35. 14 indexed citations
11.
12.
Oliveira, Cláudia S., et al.. (2011). New molecular variants of epsilon and beta IncP-1 plasmids are present in estuarine waters. Plasmid. 67(3). 252–258. 11 indexed citations
13.
Guidotti, Matteo, Nicoletta Ravasio, Beatriz Lázaro, et al.. (2009). The use of H2O2 over titanium-grafted mesoporous silica catalysts: a step further towards sustainable epoxidation. Green Chemistry. 11(9). 1421–1421. 86 indexed citations
14.
Lecina, Martí, et al.. (2006). Application of on-line OUR measurements to detect actions points to improve baculovirus-insect cell cultures in bioreactors. Journal of Biotechnology. 125(3). 385–394. 22 indexed citations
15.
Cativiela, Carlos, et al.. (2002). The use of solid acids to promote the one-pot synthesis of dl-5-(4-hydroxyphenyl)hydantoin. Applied Catalysis A General. 224(1-2). 153–159. 10 indexed citations
16.
Martínez‐Torrecuadrada, Jorge L., Beatriz Lázaro, José F. Rodrígúez, & J. Ignacio Casal. (2000). Antigenic Properties and Diagnostic Potential of Baculovirus-Expressed Infectious Bursal Disease Virus Proteins VPX and VP3. Clinical and Diagnostic Laboratory Immunology. 7(4). 645–651. 29 indexed citations
17.
Lázaro, Beatriz, et al.. (1999). Viability and DNA Maintenance in Nonculturable Spiral Campylobacter jejuni Cells after Long-Term Exposure to Low Temperatures. Applied and Environmental Microbiology. 65(10). 4677–4681. 77 indexed citations
18.
Cappelier, Jean-Michel, Beatriz Lázaro, Albert Rossero, Aurora Fernández‐Astorga, & Michel Fédérighi. (1998). Double staining (CTC-DAPI) for detection and enumeration of viable but non-culturable Campylobacter jejuni cells.. PubMed. 28(6). 547–55. 45 indexed citations
19.
Fernández‐Astorga, Aurora, et al.. (1996). Effect of the pre‐treatments for milk samples filtration on direct viable cell counts. Journal of Applied Bacteriology. 80(5). 511–516. 3 indexed citations
20.
Lázaro, Beatriz, et al.. (1996). Survival ofVibrio vulnificusunder pH, salinity and temperature combined stress. Food Microbiology. 13(3). 193–199. 8 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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