Elmars Grens
Impact in
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology
- Epidemiology top 1%
- Hepatitis B Virus Studies
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 12
- Hepatitis B Virus Studies 11
- Ecology 10
- Bacteriophages and microbial interactions 10
- Co-authors
- Paul Pumpens (12 shared papers)Peter Pushko (5 shared papers)Galina Borisova (6 shared papers)R.A. Crowther (1 shared paper)Velta Ose (3 shared papers)Andris Dišlers (4 shared papers)Michael Nassal (1 shared paper)Dace Skrastiņa (3 shared papers)
- Journals
- Journal of General Virology (2 papers)Protein Engineering Design and Selection (1 paper)Journal of Molecular Biology (1 paper)Biological Chemistry (1 paper)FEBS Letters (1 paper)
- Partner nations
- LatviaGermanyUnited Kingdom
In The Last Decade
Elmars Grens
18 papers receiving 5.1k citations
Elmars Grens's Hit Papers
Peers
Comparison fields: 5 of 123
- Infectious Diseases 1.5k
- Epidemiology 1.9k
- Virology 240
- Hepatology 376
- Immunology 1.0k
Countries citing papers authored by Elmars Grens
This map shows the geographic impact of Elmars Grens'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 Elmars Grens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elmars Grens more than expected).
Fields of papers citing papers by Elmars Grens
This network shows the impact of papers produced by Elmars Grens. 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 Elmars Grens. The network helps show where Elmars Grens may publish in the future.
Co-authors
The 25 scholars most cited alongside Elmars Grens, 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 | Development of Virus-Like Particle Technology from Small Highly Symmetric to Large Complex Virus-Like Particle Structures Hit paper breakdown → | 2013 | 4340 |
| 2 | 2001 | 230 | |
| 3 | 1999 | 98 | |
| 4 | 1995 | 90 | |
| 5 | 2018 | 55 | |
| 6 | 2016 | 52 | |
| 7 | 1993 | 47 | |
| 8 | 2002 | 38 | |
| 9 | 1996 | 32 | |
| 10 | 1993 | 31 | |
| 11 | 1993 | 30 | |
| 12 | 1994 | 28 | |
| 13 | 1999 | 28 | |
| 14 | 2016 | 23 | |
| 15 | 2016 | 18 | |
| 16 | 1999 | 14 | |
| 17 | 1998 | 9 | |
| 18 | 1994 | 7 |
About Elmars Grens
Elmars Grens is a scholar working on Epidemiology, Ecology, Hepatology, Molecular Biology and Infectious Diseases, having authored 18 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Bacteriophages and microbial interactions (10 papers), Hepatitis C virus research (6 papers), Immunotherapy and Immune Responses (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Epidemiology (1.9k citations), Virology (240 citations), Hepatology (376 citations) and Immunology (1.0k citations). Elmars Grens has collaborated with scholars based in Latvia, Germany and United Kingdom. Frequent co-authors include Paul Pumpens, Peter Pushko, Galina Borisova, R.A. Crowther, Velta Ose, Andris Dišlers, Michael Nassal, Dace Skrastiņa, Linda Zaharenko and Jānis Kloviņš. Their work appears in journals such as Journal of General Virology, Protein Engineering Design and Selection, Journal of Molecular Biology, Biological Chemistry and FEBS Letters.
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.