Ivan Barilar

1.8k total citations
20 papers, 455 citations indexed

About

Ivan Barilar is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Ivan Barilar has authored 20 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 17 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Ivan Barilar's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (15 papers) and Infectious Diseases and Tuberculosis (3 papers). Ivan Barilar is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (15 papers) and Infectious Diseases and Tuberculosis (3 papers). Ivan Barilar collaborates with scholars based in Germany, United States and Sweden. Ivan Barilar's co-authors include Stefan Niemann, Karl Schmid, Matthias Merker, Christian Utpatel, Florian P. Maurer, Sönke Andres, Martin Mascher, Mihaela Martis, Thomas Schmutzer and Uwe Scholz and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Ivan Barilar

19 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Barilar Germany 10 253 231 156 124 90 20 455
Voahangy Rasolofo Razanamparany Madagascar 10 157 0.6× 113 0.5× 65 0.4× 104 0.8× 75 0.8× 19 301
Jesus Pais Ramos Brazil 11 113 0.4× 136 0.6× 97 0.6× 155 1.3× 13 0.1× 27 337
Tatiana Lundgren Rose Brazil 10 264 1.0× 102 0.4× 120 0.8× 72 0.6× 17 0.2× 11 424
Maud Arsac France 6 40 0.2× 104 0.5× 65 0.4× 129 1.0× 22 0.2× 6 306
J. Thompson United Kingdom 3 218 0.9× 440 1.9× 32 0.2× 147 1.2× 45 0.5× 6 481
Eyal Nadir Israel 7 68 0.3× 67 0.3× 72 0.5× 150 1.2× 13 0.1× 9 337
Mingjuan Yang China 12 32 0.1× 37 0.2× 82 0.5× 167 1.3× 13 0.1× 37 367
J Eisner United States 4 158 0.6× 155 0.7× 102 0.7× 140 1.1× 18 0.2× 7 404
Ramiro López-Medrano Spain 11 227 0.9× 160 0.7× 101 0.6× 87 0.7× 40 0.4× 36 361
William Bourn South Africa 10 128 0.5× 96 0.4× 26 0.2× 143 1.2× 18 0.2× 15 317

Countries citing papers authored by Ivan Barilar

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Barilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Barilar

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Barilar. A scholar is included among the top collaborators of Ivan Barilar 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 Ivan Barilar. Ivan Barilar 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.
Diricks, Margo, Florian P. Maurer, Viola Dreyer, et al.. (2025). Genomic insights into the plasmidome of non-tuberculous mycobacteria. Genome Medicine. 17(1). 19–19. 1 indexed citations
2.
Kohl, Thomas A., Viola Dreyer, Ivan Barilar, et al.. (2024). Challenging the gold standard: the limitations of molecular assays for detection ofMycobacterium tuberculosisheteroresistance. Thorax. 79(7). 670–675. 9 indexed citations
3.
Barilar, Ivan, Sönke Andres, Tobias Dallenga, et al.. (2024). Molecular determinants of multidrug-resistant tuberculosis in Sierra Leone. Microbiology Spectrum. 12(3). e0240523–e0240523. 1 indexed citations
4.
Wijkander, Maria, Ramona Groenheit, Mikael Mansjö, et al.. (2023). In vitro activity of new combinations of β-lactam and β-lactamase inhibitors against the Mycobacterium tuberculosis complex. Microbiology Spectrum. 11(5). e0178123–e0178123. 2 indexed citations
5.
6.
Barilar, Ivan, Anne W. Rimoin, Daniel M. Parker, et al.. (2023). Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana. Emerging infectious diseases. 29(5). 977–987. 2 indexed citations
7.
Noroc, Ecaterina, Dumitru Chesov, Matthias Merker, et al.. (2023). Limited Nosocomial Transmission of Drug-Resistant Tuberculosis, Moldova. Emerging infectious diseases. 29(5). 1046–1050. 1 indexed citations
8.
Barilar, Ivan, Christian Utpatel, Thomas A. Kohl, et al.. (2023). Transmission Dynamics of a Mycobacterium tuberculosis Complex Outbreak in an Indigenous Population in the Colombian Amazon Region. Microbiology Spectrum. 11(3). e0501322–e0501322. 1 indexed citations
9.
Barilar, Ivan, Chawangwa Modongo, Nicola M. Zetola, et al.. (2022). Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission. PLoS Computational Biology. 18(12). e1010696–e1010696. 6 indexed citations
10.
Smith, Jonathan P., Chawangwa Modongo, John E. Oeltmann, et al.. (2022). HIGH-RESOLUTION CHARACTERIZATION OF NOSOCOMIAL MYCOBACTERIUM TUBERCULOSIS TRANSMISSION EVENTS IN BOTSWANA. American Journal of Epidemiology. 192(3). 503–506.
11.
Utpatel, Christian, Elingarami Sauli, Emmanuel Mpolya, et al.. (2022). Whole genome sequencing-based drug resistance predictions of multidrug-resistant Mycobacterium tuberculosis isolates from Tanzania. JAC-Antimicrobial Resistance. 4(2). dlac042–dlac042. 6 indexed citations
12.
Vargas, Roger, Luca Freschi, Andrea Spitaleri, et al.. (2021). Role of Epistasis in Amikacin, Kanamycin, Bedaquiline, and Clofazimine Resistance in Mycobacterium tuberculosis Complex. Antimicrobial Agents and Chemotherapy. 65(11). e0116421–e0116421. 38 indexed citations
13.
Chesov, Dumitru, Florian P. Maurer, Sönke Andres, et al.. (2021). Emergence of bedaquiline resistance in a high tuberculosis burden country. European Respiratory Journal. 59(3). 2100621–2100621. 74 indexed citations
14.
Merker, Matthias, Niklas Köhler, Sönke Andres, et al.. (2021). Design of Multidrug-Resistant Tuberculosis Treatment Regimens Based on DNA Sequencing. Clinical Infectious Diseases. 73(7). 1194–1202. 20 indexed citations
15.
Dreyer, Viola, Christian Utpatel, Thomas A. Kohl, et al.. (2020). Detection of low-frequency resistance-mediating SNPs in next-generation sequencing data of Mycobacterium tuberculosis complex strains with binoSNP. Scientific Reports. 10(1). 7874–7874. 12 indexed citations
16.
Merker, Matthias, Thomas A. Kohl, Ivan Barilar, et al.. (2020). Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex. Genome Medicine. 12(1). 27–27. 51 indexed citations
17.
Merker, Matthias, Thomas A. Kohl, Bárbara Molina-Moya, et al.. (2020). Multidrug- and Extensively Drug-Resistant Mycobacterium tuberculosis Beijing Clades, Ukraine, 2015. Emerging infectious diseases. 26(3). 481–490. 19 indexed citations
18.
19.
Günther, Torsten, Christian Lampei, Ivan Barilar, & Karl Schmid. (2016). Genomic and phenotypic differentiation of Arabidopsis thaliana along altitudinal gradients in the North Italian Alps. Molecular Ecology. 25(15). 3574–3592. 28 indexed citations
20.
Bauer, Eva, Thomas Schmutzer, Ivan Barilar, et al.. (2016). Towards a whole‐genome sequence for rye (Secale cereale L.). The Plant Journal. 89(5). 853–869. 149 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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