Elmars Grens

7.0k citations
18 papers · 5.2k indexed · 1 hit paper · h-index 15

Elmars Grens

18 papers receiving 5.1k citations

Hit Papers

Development of Virus-Like Particle Technology from Small ...4.3k201320262017202110002.0k3.0k4.0k

Peers

Elmars Grens
Comparison fields: 5 of 125
  • Infectious Diseases 1.6k
  • Epidemiology 2.0k
  • Hepatology 435
  • Virology 256
  • Biotechnology 466
Replace Paul Pumpens with:
Paul Pumpens Latvia
Peter Pushko United States
Donald F. Summers United States
Margaret A. Liu United States
Joel R. Haynes United States
Donna L. Montgomery United States
Suezanne E. Parker United States
David Bhella United Kingdom
Roland Sahli Switzerland
Nigel J. Dimmock United Kingdom
Elmars Grens relative to Paul Pumpens Latvia Paul Pumpens's profile →
Citations per field
00.5×1.5×
Paul Pumpens · 1×
Citations per year

Countries citing papers authored by Elmars Grens

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Elmars Grens Line = papers co-authored together Elmars Grens links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201854
2 201623
3 201650
4 201618
5
Development of Virus-Like Particle Technology from Small Highly Symmetric to Large Complex Virus-Like Particle Structuresbreakdown →
20134328
6 200238
7 2001229
8 199928
9 199996
10 199914
11 19989
12 199632
13 199590
14 199428
15 19947
16 199330
17 199331
18 199347

About Elmars Grens

Elmars Grens is a scholar working on Hepatology, Ecology, Epidemiology, Infectious Diseases and Immunology, 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), Viral gastroenteritis research and epidemiology (3 papers), Immunotherapy and Immune Responses (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 (1.6k citations), Epidemiology (2.0k citations), Hepatology (435 citations), Virology (256 citations) and Biotechnology (466 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, Andris Dišlers, Dace Skrastiņa, Velta Ose, Michael Nassal, Liene Ņikitina-Zaķe and Jānis Kloviņš. Their work appears in journals such as Journal of General Virology, Protein Engineering Design and Selection, Biological Chemistry, Journal of Molecular Biology and Journal of Epidemiology.

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.

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