Juris Vanags

413 total citations
39 papers, 280 citations indexed

About

Juris Vanags is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Juris Vanags has authored 39 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Biomedical Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Juris Vanags's work include Microbial Metabolic Engineering and Bioproduction (16 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and Advanced Control Systems Optimization (9 papers). Juris Vanags is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (16 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and Advanced Control Systems Optimization (9 papers). Juris Vanags collaborates with scholars based in Latvia, Lithuania and Czechia. Juris Vanags's co-authors include U. Viesturs, Maija Ruklisha, Robert P. Tengerdy, C. R. Thomas, Ivan Fořt, Vytautas Galvanauskas, W. Bujalski, K. G. Tucker, Svetlana Orlova and Mojmı́r Rychtera and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Juris Vanags

37 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juris Vanags Latvia 9 116 111 39 34 29 39 280
Jason Kwiatkowski United States 4 284 2.4× 142 1.3× 44 1.1× 36 1.1× 45 1.6× 6 429
Mohammadhadi Jazini Iran 13 142 1.2× 161 1.5× 112 2.9× 27 0.8× 72 2.5× 25 434
Quoc Phong Ho Vietnam 8 175 1.5× 130 1.2× 26 0.7× 22 0.6× 87 3.0× 18 383
Nico Oosterhuis Netherlands 11 240 2.1× 332 3.0× 29 0.7× 27 0.8× 17 0.6× 16 460
Jiro Kohda Japan 10 124 1.1× 146 1.3× 20 0.5× 11 0.3× 10 0.3× 27 358
Vu Hong Thang Austria 8 257 2.2× 152 1.4× 22 0.6× 9 0.3× 34 1.2× 12 352
Kim Gail Clarke South Africa 12 245 2.1× 212 1.9× 23 0.6× 18 0.5× 35 1.2× 29 512
Maria Cândida Reginato Facciotti Brazil 11 151 1.3× 138 1.2× 16 0.4× 9 0.3× 27 0.9× 21 313
Mateus N. Esperança Brazil 11 288 2.5× 194 1.7× 17 0.4× 19 0.6× 14 0.5× 29 363
Kwonsu Jung South Korea 9 317 2.7× 237 2.1× 153 3.9× 16 0.5× 20 0.7× 9 503

Countries citing papers authored by Juris Vanags

Since Specialization
Citations

This map shows the geographic impact of Juris Vanags'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 Juris Vanags with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juris Vanags more than expected).

Fields of papers citing papers by Juris Vanags

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juris Vanags. 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 Juris Vanags. The network helps show where Juris Vanags may publish in the future.

Co-authorship network of co-authors of Juris Vanags

This figure shows the co-authorship network connecting the top 25 collaborators of Juris Vanags. A scholar is included among the top collaborators of Juris Vanags 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 Juris Vanags. Juris Vanags is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grūbe, Māra, et al.. (2024). Investigation of Crypthecodinium cohnii High-Cell-Density Fed-Batch Cultivations. Fermentation. 10(4). 203–203. 2 indexed citations
2.
Vanags, Juris, et al.. (2023). Model Predictive Control—A Stand Out among Competitors for Fed-Batch Fermentation Improvement. Fermentation. 9(3). 206–206. 25 indexed citations
3.
Stalidzāns, Egils, et al.. (2023). A Fermentation State Marker Rule Design Task in Metabolic Engineering. Bioengineering. 10(12). 1427–1427. 1 indexed citations
4.
Liepiņš, Jānis, et al.. (2023). Pichia pastoris growth—coupled heme biosynthesis analysis using metabolic modelling. Scientific Reports. 13(1). 15816–15816. 5 indexed citations
5.
6.
Vanags, Juris, et al.. (2021). Biopharmaceutical-Type Chinese Hamster Ovary Cell Cultivation Under Static Magnetic Field Exposure: A Study of Genotoxic Effect. Frontiers in Bioengineering and Biotechnology. 9. 751538–751538. 2 indexed citations
7.
Vanags, Juris, et al.. (2019). The application of novel magnetically coupled mixer drives in bioreactors of up to 15 m3. Biochemical Engineering Journal. 154. 107464–107464. 8 indexed citations
8.
Vanags, Juris, et al.. (2017). CFD Analysis of a Stirred Vessel Bioreactor with Double Pitch Blade and Rushton Type Impellers. Science. 1 indexed citations
9.
Vanags, Juris, et al.. (2015). Modelling of a Batch Whey Cultivation of Kluyveromyces marxianus var. lactis MC 5 with Investigation of Mass Transfer Processes in the Bioreactor. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Vanags, Juris, et al.. (2015). Influence of Light Intensity and Temperature on Cultivation of Microalgae Desmodesmus Communis in Flasks and Laboratory-Scale Stirred Tank Photobioreactor. Latvian Journal of Physics and Technical Sciences. 52(2). 59–70. 7 indexed citations
11.
Mežule, Linda, et al.. (2013). Application of fluorescent in situ hybridisation for monitoring methanogenic archaea in acid whey anaerobic digestion. Agronomy Research. 11(2). 373–380. 10 indexed citations
12.
Galvanauskas, Vytautas, et al.. (2013). Model-Based Optimization and pO2 Control of Fed-Batch Escherichia Coli and Saccharomyces Cerevisiae Cultivation Processes. publication.editionName. 172–184. 1 indexed citations
13.
Viesturs, U., et al.. (2010). An Application of Different Mixing Systems for Batch Cultivation of Saccharomyces cerevisiae. Part II: Multiple Objective Optimization and Model Predictive Control. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Vanags, Juris, et al.. (2010). BIOPROCESS MONITORING AND CONTROL USING MOBILE DEVICES. Information Technology And Control. 39(3). 3 indexed citations
15.
Vanags, Juris, et al.. (2007). Oxygen and Temperature Control during the Cultivation of Microorganisms using Substrate Feeding. Engineering in Life Sciences. 7(3). 247–252. 8 indexed citations
16.
Vanags, Juris, et al.. (2007). Development of a flexible and user-friendly system for fermentation processes control. Journal of Biotechnology. 131(2). S144–S144. 1 indexed citations
17.
Vanags, Juris, et al.. (2002). Performance of Aspergillus niger Cultivation in Geometrically Dissimilar Bioreactors Evaluated on the Basis of Morphological Analyses. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Vanags, Juris, U. Viesturs, & Ivan Fořt. (1999). Mixing intensity studies in a pilot plant stirred bioreactor with an electromagnetic drive. Biochemical Engineering Journal. 3(1). 25–33. 9 indexed citations
19.
Vanags, Juris, et al.. (1995). Hydrodynamic, physiological, and morphological characteristics of Fusarium moniliforme in geometrically dissimilar stirred bioreactors. Biotechnology and Bioengineering. 48(3). 266–277. 21 indexed citations
20.
Ruklisha, Maija, et al.. (1991). Inhibition of microbial growth and metabolism by excess turbulence. Biotechnology and Bioengineering. 38(5). 552–556. 80 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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