Uga Dumpis
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- Antibiotic Use and Resistance 10
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 5
- Parasitology top 2%
- Hepatology top 5%
- Hepatitis C virus research 8
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 2
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- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 4
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- Patient Satisfaction in Healthcare 6
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- Nosocomial Infections in ICU 5
Uga Dumpis
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Applied Microbiology and Biotechnology 201
- Molecular Medicine 281
- Parasitology 206
- Hepatology 212
- Infectious Diseases 454
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 185 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 7 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 7 | |
| 11 | 2017 | 203 | |
| 12 | 2016 | 1 | |
| 13 | 2013 | 14 | |
| 14 | 2009 | 1 | |
| 15 | 2007 | 9 | |
| 16 | 2006 | 37 | |
| 17 | 2003 | 46 | |
| 18 | 2001 | 82 | |
| 19 | Identification of a gene associated with chronic hepatitis B virus infection by genome-wide linkage analysis and family based association studies. | 2000 | 3 |
| 20 | 1999 | 259 |
About Uga Dumpis
Uga Dumpis is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Hepatology, Critical Care and Intensive Care Medicine and Endocrinology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (10 papers), Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (7 papers), Patient Satisfaction in Healthcare (6 papers), Antibiotic Resistance in Bacteria (5 papers), Nosocomial Infections in ICU (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (201 citations), Molecular Medicine (281 citations), Parasitology (206 citations), Hepatology (212 citations) and Infectious Diseases (454 citations). Uga Dumpis has collaborated with scholars based in Latvia, Sweden and United Kingdom. Frequent co-authors include Derrick W. Crook, Jarmo Oksi, Mark Thursz, Peter Karayiannis, Hilton Whittle, J. Todd Weber, Emese Szilágyi, Maria Luisa Moro, Evelina Tacconelli and Anna-Pelagia Magiorakos. Their work appears in journals such as Eurosurveillance, Journal of Hepatology, Journal of Medical Virology, Antimicrobial Resistance and Infection Control and European Journal of Clinical Microbiology & Infectious Diseases.
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.