Uga Dumpis
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 17
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- Antibiotic Resistance in Bacteria 10
- Co-authors
- Derrick W. Crook (1 shared paper)Jarmo Oksi (1 shared paper)Mark R. Thursz (5 shared papers)Peter Karayiannis (4 shared papers)Hilton C. Whittle (3 shared papers)Anna-Pelagia Magiorakos (1 shared paper)Jesús Rodríguez‐Baño (1 shared paper)Karen Burns (1 shared paper)
In The Last Decade
Uga Dumpis
58 papers receiving 5.1k citations
Uga Dumpis's Hit Papers
Peers
Comparison fields: 5 of 168
- Applied Microbiology and Biotechnology 1.2k
- Molecular Medicine 1.5k
- Clinical Biochemistry 416
- Infectious Diseases 1.1k
- Endocrinology 285
Countries citing papers authored by Uga Dumpis
This map shows the geographic impact of Uga Dumpis'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 Uga Dumpis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uga Dumpis more than expected).
Fields of papers citing papers by Uga Dumpis
This network shows the impact of papers produced by Uga Dumpis. 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 Uga Dumpis. The network helps show where Uga Dumpis may publish in the future.
Co-authors
The 25 scholars most cited alongside Uga Dumpis, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis Hit paper breakdown → | 2018 | 2392 |
| 2 | 1999 | 298 | |
| 3 | 2013 | 274 | |
| 4 | 2017 | 227 | |
| 5 | 2020 | 214 | |
| 6 | 2010 | 207 | |
| 7 | 2014 | 126 | |
| 8 | 2011 | 101 | |
| 9 | 2006 | 94 | |
| 10 | 2021 | 90 | |
| 11 | 2001 | 88 | |
| 12 | 2018 | 79 | |
| 13 | 2011 | 78 | |
| 14 | 2019 | 77 | |
| 15 | 2018 | 63 | |
| 16 | 2019 | 63 | |
| 17 | 2017 | 61 | |
| 18 | 2015 | 53 | |
| 19 | 2003 | 52 | |
| 20 | 2018 | 49 |
About Uga Dumpis
Uga Dumpis is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Infectious Diseases, Epidemiology and Hepatology, having authored 60 papers that have together received 5.3k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (17 papers), Antibiotic Resistance in Bacteria (10 papers), Hepatitis B Virus Studies (7 papers), Infection Control in Healthcare (6 papers), Hepatitis C virus research (6 papers), Nosocomial Infections in ICU (5 papers), Patient Satisfaction in Healthcare (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (1.2k citations), Molecular Medicine (1.5k citations), Clinical Biochemistry (416 citations), Infectious Diseases (1.1k citations) and Endocrinology (285 citations). Uga Dumpis has collaborated with scholars based in Latvia, Sweden and Germany. Frequent co-authors include Derrick W. Crook, Jarmo Oksi, Mark R. Thursz, Peter Karayiannis, Hilton C. Whittle, Anna-Pelagia Magiorakos, Jesús Rodríguez‐Baño, Karen Burns, J. Todd Weber and Emese Szilágyi. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Eurosurveillance, European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy and Journal of Medical Virology.
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.