Mateja Pate
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
- Small Animals top 5%
- Infectious Diseases and Mycology
Papers in
-
- Tuberculosis Research and Epidemiology 18
- Viral gastroenteritis research and epidemiology 4
- Epidemiology 25
- Mycobacterium research and diagnosis 24
- Co-authors
- M. Ocepek (42 shared papers)Darja Kušar (17 shared papers)Manca Žolnir-Dovč (7 shared papers)Bojan Papić (7 shared papers)Irena Zdovc (11 shared papers)Jana Avberšek (10 shared papers)B. Krt (17 shared papers)Majda Golob (5 shared papers)
In The Last Decade
Mateja Pate
47 papers receiving 809 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 478
- Small Animals 127
- Biotechnology 135
- Microbiology 76
- Food Science 210
Countries citing papers authored by Mateja Pate
This map shows the geographic impact of Mateja Pate'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 Mateja Pate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateja Pate more than expected).
Fields of papers citing papers by Mateja Pate
This network shows the impact of papers produced by Mateja Pate. 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 Mateja Pate. The network helps show where Mateja Pate may publish in the future.
Co-authors
The 25 scholars most cited alongside Mateja Pate, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 97 | |
| 2 | 2009 | 87 | |
| 3 | 2019 | 61 | |
| 4 | 2005 | 51 | |
| 5 | 2019 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2015 | 37 | |
| 8 | 2010 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2011 | 28 | |
| 11 | 2019 | 25 | |
| 12 | 2004 | 25 | |
| 13 | 2016 | 24 | |
| 14 | 2006 | 23 | |
| 15 | 2005 | 23 | |
| 16 | 2019 | 19 | |
| 17 | 2007 | 19 | |
| 18 | 2013 | 16 | |
| 19 | 2014 | 14 | |
| 20 | 2008 | 13 |
About Mateja Pate
Mateja Pate is a scholar working on Infectious Diseases, Epidemiology, Small Animals, Food Science and Molecular Biology, having authored 49 papers that have together received 862 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (24 papers), Tuberculosis Research and Epidemiology (18 papers), Infectious Diseases and Mycology (11 papers), Salmonella and Campylobacter epidemiology (7 papers), Listeria monocytogenes in Food Safety (7 papers), Microbial Inactivation Methods (4 papers), Viral gastroenteritis research and epidemiology (4 papers) and Microbial infections and disease research (4 papers). The work is most often cited by research in Infectious Diseases (478 citations), Small Animals (127 citations), Biotechnology (135 citations), Microbiology (76 citations) and Food Science (210 citations). Mateja Pate has collaborated with scholars based in Slovenia, Czechia and Croatia. Frequent co-authors include M. Ocepek, Darja Kušar, Manca Žolnir-Dovč, Bojan Papić, Irena Zdovc, Jana Avberšek, B. Krt, Majda Golob, Mario Poljak and Vlasta Jenčič. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Journal of Fish Diseases, BioMed Research International, Journal of Wildlife Diseases and BMC Veterinary Research.
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.