Elmars Grens

7.0k total citations · 1 hit paper
18 papers, 5.2k citations indexed

About

Elmars Grens is a scholar working on Epidemiology, Ecology and Hepatology. According to data from OpenAlex, Elmars Grens has authored 18 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Ecology and 7 papers in Hepatology. Recurrent topics in Elmars Grens's work include Hepatitis B Virus Studies (11 papers), Bacteriophages and microbial interactions (10 papers) and Hepatitis C virus research (6 papers). Elmars Grens is often cited by papers focused on Hepatitis B Virus Studies (11 papers), Bacteriophages and microbial interactions (10 papers) and Hepatitis C virus research (6 papers). Elmars Grens collaborates with scholars based in Latvia, Germany and United Kingdom. Elmars Grens's co-authors include Paul Pumpens, Peter Pushko, Galina Borisova, R.A. Crowther, Andris Dišlers, Dace Skrastiņa, Velta Ose, Michael Nassal, Jānis Kloviņš and Linda Zaharenko and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and FEBS Letters.

In The Last Decade

Elmars Grens

18 papers receiving 5.1k citations

Hit Papers

Development of Virus-Like Particle Technology from Small ... 2013 2026 2017 2021 2013 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elmars Grens Latvia 15 2.0k 1.6k 1.6k 1.1k 761 18 5.2k
Paul Pumpens Latvia 36 2.9k 1.5× 2.2k 1.4× 2.1k 1.4× 1.7k 1.6× 1.3k 1.7× 81 7.3k
Peter Pushko United States 33 3.6k 1.8× 2.1k 1.3× 3.3k 2.1× 1.7k 1.5× 823 1.1× 65 8.0k
Ian M. Jones United Kingdom 51 1.7k 0.9× 3.3k 2.0× 1.7k 1.1× 1.7k 1.5× 552 0.7× 177 8.1k
Thomas R. Fuerst United States 33 2.9k 1.4× 2.5k 1.6× 2.5k 1.6× 1.5k 1.3× 651 0.9× 74 8.0k
Marc Girard France 46 1.8k 0.9× 3.0k 1.8× 3.0k 1.9× 1.3k 1.2× 654 0.9× 215 8.2k
Nigel J. Dimmock United Kingdom 41 2.6k 1.3× 1.4k 0.8× 1.6k 1.0× 1.3k 1.1× 403 0.5× 171 5.2k
Joel R. Haynes United States 37 1.4k 0.7× 1.9k 1.1× 1.2k 0.7× 2.4k 2.1× 255 0.3× 60 4.9k
Ralf Wagner Germany 42 1.1k 0.6× 2.4k 1.4× 1.5k 0.9× 1.6k 1.5× 300 0.4× 160 5.2k
Margaret A. Liu United States 31 2.5k 1.3× 2.8k 1.7× 2.2k 1.4× 4.2k 3.8× 312 0.4× 56 7.6k
Donna L. Montgomery United States 22 1.3k 0.7× 2.1k 1.3× 1.2k 0.7× 1.9k 1.7× 230 0.3× 30 4.4k

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 of co-authors of Elmars Grens

This figure shows the co-authorship network connecting the top 25 collaborators of Elmars Grens. A scholar is included among the top collaborators of Elmars Grens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elmars Grens. Elmars Grens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rovīte, Vita, et al.. (2018). Genome Database of the Latvian Population (LGDB): Design, Goals, and Primary Results. Journal of Epidemiology. 28(8). 353–360. 54 indexed citations
2.
Pumpens, Paul & Elmars Grens. (2016). The true story and advantages of the famous Hepatitis B virus core particles: Outlook 2016. Molecular Biology. 50(4). 489–509. 23 indexed citations
3.
Pumpens, Paul, Regīna Renhofa, Velta Ose, et al.. (2016). The True Story and Advantages of RNA Phage Capsids as Nanotools. Intervirology. 59(2). 74–110. 50 indexed citations
4.
Pumpens, Paul & Elmars Grens. (2016). The true story and advantages of the famous hepatitis B virus core particles: Outlook 2016. Молекулярная биология. 50(4). 558–576. 18 indexed citations
5.
Pushko, Peter, Paul Pumpens, & Elmars Grens. (2013). Development of Virus-Like Particle Technology from Small Highly Symmetric to Large Complex Virus-Like Particle Structures. Intervirology. 56(3). 141–165. 4328 indexed citations breakdown →
6.
Pumpens, Paul, Elmars Grens, & Michael Nassal. (2002). Molecular Epidemiology and Immunology of Hepatitis B Virus Infection – An Update. Intervirology. 45(4-6). 218–232. 38 indexed citations
7.
Pumpens, Paul & Elmars Grens. (2001). HBV Core Particles as a Carrier for B Cell/T Cell Epitopes. Intervirology. 44(2-3). 98–114. 229 indexed citations
8.
Borisova, Galina, Dace Skrastiņa, Andris Dišlers, et al.. (1999). Behavior of a Short preS1 Epitope on the Surface of Hepatitis B Core Particles. Biological Chemistry. 380(3). 315–24. 28 indexed citations
9.
Grens, Elmars, et al.. (1999). Hepatitis B core particles as a universal display model: a structure‐function basis for development. FEBS Letters. 442(1). 1–6. 96 indexed citations
10.
Borisova, Galina, et al.. (1999). Expression, assembly competence and antigenic properties of hepatitis B virus core gene deletion variants from infected liver cells.. Journal of General Virology. 80(7). 1777–1788. 14 indexed citations
11.
Avota, Elita, et al.. (1998). The natural 6 S RNA found in Qβ-infected cells is derived from host and phage RNA. Journal of Molecular Biology. 276(1). 7–17. 9 indexed citations
12.
Borisova, Galina, Dace Skrastiņa, Ivars Petrovskis, et al.. (1996). Spatial Structure and Insertion Capacity of Immunodominant Region of Hepatitis B Core Antigen. Intervirology. 39(1-2). 16–22. 32 indexed citations
13.
Pumpens, Paul, Galina Borisova, R.A. Crowther, & Elmars Grens. (1995). Hepatitis B Virus Core Particles as Epitope Carriers. Intervirology. 38(1-2). 63–74. 90 indexed citations
14.
Meisel, Helga, Irina Sominskaya, Peter Pushko, et al.. (1994). Fine Mapping and Functional Characterization of Two Immuno-Dominant Regions from the preS2 Sequence of Hepatitis B Virus. Intervirology. 37(6). 330–339. 28 indexed citations
15.
Jankevics, Eriks, et al.. (1994). Structure and analysis of the 5′ flanking region of the human interleukin-2 gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1217(2). 235–238. 7 indexed citations
16.
Sällberg, Matti, Peter Pushko, V. Bichko, et al.. (1993). Immunochemical structure of the carboxy-terminal part of hepatitis B e antigen: identification of internal and surface-exposed sequences. Journal of General Virology. 74(7). 1335–1340. 30 indexed citations
17.
Pushko, Peter, et al.. (1993). Analysis of RNA phage fr coat protein assembly by insertion, deletion and substitution mutagenesis. Protein Engineering Design and Selection. 6(8). 883–891. 31 indexed citations
18.
Borisova, Galina, Andris Dišlers, Dace Skrastiņa, et al.. (1993). Hybrid hepatitis B virus nucleocapsid bearing an immunodominant region from hepatitis B virus surface antigen. Journal of Virology. 67(6). 3696–3701. 47 indexed citations

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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