Ivan Barilar
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
-
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Tuberculosis Research and Epidemiology 16
- Epidemiology 11
- Mycobacterium research and diagnosis 10
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Co-authors
- Stefan Niemann (15 shared papers)Karl Schmid (2 shared papers)Christian Utpatel (9 shared papers)Matthias Merker (9 shared papers)Bernd Hackauf (1 shared paper)Sönke Andres (4 shared papers)Malthe Schmidt (1 shared paper)Klaus Mayer (1 shared paper)
- Journals
- Microbiology Spectrum (3 papers)Emerging infectious diseases (3 papers)Genome Medicine (2 papers)The Lancet Infectious Diseases (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ivan Barilar
19 papers receiving 493 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 267
- Epidemiology 169
- Molecular Medicine 22
- Plant Science 169
- Genetics 90
Countries citing papers authored by Ivan Barilar
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
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-authors
The 25 scholars most cited alongside Ivan Barilar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 168 | |
| 2 | 2021 | 76 | |
| 3 | 2020 | 54 | |
| 4 | 2021 | 40 | |
| 5 | 2023 | 39 | |
| 6 | 2016 | 28 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2024 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 0 |
About Ivan Barilar
Ivan Barilar is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Molecular Medicine, having authored 20 papers that have together received 504 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (10 papers), Infectious Diseases and Tuberculosis (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Antibiotic Resistance in Bacteria (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Infectious Diseases (267 citations), Epidemiology (169 citations), Molecular Medicine (22 citations), Plant Science (169 citations) and Genetics (90 citations). Ivan Barilar has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Niemann, Karl Schmid, Christian Utpatel, Matthias Merker, Bernd Hackauf, Sönke Andres, Malthe Schmidt, Klaus Mayer, Heidrun Gundlach and Peer Wilde. Their work appears in journals such as Microbiology Spectrum, Emerging infectious diseases, Genome Medicine, The Lancet Infectious Diseases and PLoS Computational Biology.
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.