Natalia M. Vior

652 total citations
17 papers, 476 citations indexed

About

Natalia M. Vior is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Natalia M. Vior has authored 17 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Pharmacology and 7 papers in Biotechnology. Recurrent topics in Natalia M. Vior's work include Microbial Natural Products and Biosynthesis (13 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (6 papers). Natalia M. Vior is often cited by papers focused on Microbial Natural Products and Biosynthesis (13 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (6 papers). Natalia M. Vior collaborates with scholars based in United Kingdom, Spain and United States. Natalia M. Vior's co-authors include Andrew W. Truman, Javier Santos‐Aberturas, Rodney Lacret, Govind Chandra, José A. Salas, Ignacio García, Cármen Méndez, Francisco Morís, Javier González‐Sabín and Finian J. Leeper and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Applied and Environmental Microbiology.

In The Last Decade

Natalia M. Vior

17 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia M. Vior United Kingdom 12 360 301 106 83 48 17 476
Diane Butz Germany 7 343 1.0× 329 1.1× 59 0.6× 103 1.2× 46 1.0× 8 455
Timo Schmiederer Germany 9 485 1.3× 364 1.2× 68 0.6× 108 1.3× 65 1.4× 11 683
Juan E. Velásquez United States 8 501 1.4× 324 1.1× 74 0.7× 84 1.0× 100 2.1× 12 632
Francisco Javier Ortiz‐López Spain 14 278 0.8× 291 1.0× 87 0.8× 105 1.3× 22 0.5× 29 484
D. John Lee United States 12 529 1.5× 286 1.0× 69 0.7× 110 1.3× 18 0.4× 15 677
Vincent Wiebach Germany 11 332 0.9× 301 1.0× 94 0.9× 88 1.1× 17 0.4× 15 490
Joel O. Melby United States 10 529 1.5× 416 1.4× 61 0.6× 137 1.7× 36 0.8× 11 632
Patricia M. Blair United States 7 457 1.3× 350 1.2× 81 0.8× 45 0.5× 37 0.8× 7 558
Manuel A. Ortega United States 10 683 1.9× 432 1.4× 89 0.8× 137 1.7× 66 1.4× 10 812
Yanxiang Shi United States 6 503 1.4× 386 1.3× 70 0.7× 70 0.8× 108 2.3× 7 627

Countries citing papers authored by Natalia M. Vior

Since Specialization
Citations

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

Fields of papers citing papers by Natalia M. Vior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia M. Vior. 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 Natalia M. Vior. The network helps show where Natalia M. Vior may publish in the future.

Co-authorship network of co-authors of Natalia M. Vior

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

All Works

17 of 17 papers shown
1.
Pei, Zeng‐Fei, Natalia M. Vior, Lingyang Zhu, Andrew W. Truman, & Satish K. Nair. (2024). Biosynthesis of peptide–nucleobase hybrids in ribosomal peptides. Nature Chemical Biology. 21(1). 143–154. 3 indexed citations
2.
Santos‐Aberturas, Javier & Natalia M. Vior. (2022). Beyond Soil-Dwelling Actinobacteria: Fantastic Antibiotics and Where to Find Them. Antibiotics. 11(2). 195–195. 10 indexed citations
3.
Yushchuk, Oleksandr, Natalia M. Vior, Francesca Berini, et al.. (2021). Genomic-Led Discovery of a Novel Glycopeptide Antibiotic by Nonomuraea coxensis DSM 45129. ACS Chemical Biology. 16(5). 915–928. 20 indexed citations
4.
Vior, Natalia M., et al.. (2021). Discovery and characterisation of an amidine-containing ribosomally-synthesised peptide that is widely distributed in nature. Chemical Science. 12(35). 11769–11778. 20 indexed citations
5.
Vior, Natalia M., et al.. (2021). Understanding thioamitide biosynthesis using pathway engineering and untargeted metabolomics. Chemical Science. 12(20). 7138–7150. 21 indexed citations
6.
Vior, Natalia M., et al.. (2020). Regulation of Bottromycin Biosynthesis Involves an Internal Transcriptional Start Site and a Cluster-Situated Modulator. Frontiers in Microbiology. 11. 495–495. 8 indexed citations
7.
García-Gutiérrez, Enriqueta, Paula M. O’Connor, Ian J. Colquhoun, et al.. (2020). Production of multiple bacteriocins, including the novel bacteriocin gassericin M, by Lactobacillus gasseri LM19, a strain isolated from human milk. Applied Microbiology and Biotechnology. 104(9). 3869–3884. 40 indexed citations
8.
Santos‐Aberturas, Javier, Govind Chandra, Luca Frattaruolo, et al.. (2019). Uncovering the unexplored diversity of thioamidated ribosomal peptides in Actinobacteria using the RiPPER genome mining tool. Nucleic Acids Research. 47(9). 4624–4637. 99 indexed citations
9.
Vior, Natalia M., et al.. (2018). Discovery and Biosynthesis of the Antibiotic Bicyclomycin in Distantly Related Bacterial Classes. Applied and Environmental Microbiology. 84(9). 40 indexed citations
10.
Widdick, David A., Hua Wang, Natalia M. Vior, et al.. (2018). Analysis of the Tunicamycin Biosynthetic Gene Cluster of Streptomyces chartreusis Reveals New Insights into Tunicamycin Production and Immunity. Antimicrobial Agents and Chemotherapy. 62(8). 10 indexed citations
11.
Vior, Natalia M., et al.. (2018). Rapid and Robust Yeast-Mediated Pathway Refactoring Generates Multiple New Bottromycin-Related Metabolites. ACS Synthetic Biology. 7(5). 1211–1218. 27 indexed citations
12.
Vior, Natalia M., et al.. (2016). Dissecting Bottromycin Biosynthesis Using Comparative Untargeted Metabolomics. Angewandte Chemie. 128(33). 9791–9795. 7 indexed citations
13.
Vior, Natalia M., et al.. (2016). Dissecting Bottromycin Biosynthesis Using Comparative Untargeted Metabolomics. Angewandte Chemie International Edition. 55(33). 9639–9643. 62 indexed citations
14.
González‐Sabín, Javier, Nicolás Ríos‐Lombardía, Ignacio García, et al.. (2015). Laccase-catalysed biotransformation of collismycin derivatives. A novel enzymatic approach for the cleavage of oximes. Green Chemistry. 18(4). 989–994. 18 indexed citations
15.
Vior, Natalia M., Carlos Olano, Ignacio García, Cármen Méndez, & José A. Salas. (2013). Collismycin A biosynthesis in Streptomyces sp. CS40 is regulated by iron levels through two pathway-specific regulators. Microbiology. 160(3). 467–478. 13 indexed citations
16.
García, Ignacio, Natalia M. Vior, Javier González‐Sabín, et al.. (2013). Engineering the Biosynthesis of the Polyketide-Nonribosomal Peptide Collismycin A for Generation of Analogs with Neuroprotective Activity. Chemistry & Biology. 20(8). 1022–1032. 33 indexed citations
17.
García, Ignacio, Natalia M. Vior, Alfredo F. Braña, et al.. (2012). Elucidating the Biosynthetic Pathway for the Polyketide-Nonribosomal Peptide Collismycin A: Mechanism for Formation of the 2,2′-bipyridyl Ring. Chemistry & Biology. 19(3). 399–413. 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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