Marek Prouza

444 total citations
11 papers, 343 citations indexed

About

Marek Prouza is a scholar working on Molecular Biology, Pollution and Biomedical Engineering. According to data from OpenAlex, Marek Prouza has authored 11 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pollution and 3 papers in Biomedical Engineering. Recurrent topics in Marek Prouza's work include Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial bioremediation and biosurfactants (3 papers) and Biofuel production and bioconversion (2 papers). Marek Prouza is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial bioremediation and biosurfactants (3 papers) and Biofuel production and bioconversion (2 papers). Marek Prouza collaborates with scholars based in Czechia, Germany and Spain. Marek Prouza's co-authors include Jan Nešvera, Miroslav Pátek, Jiří Holátko, Ashok Mulchandani, Wilfred Chen, Jason M. Tang, Joseph Wang, Kanchan A. Joshi, Robert C. Haddon and M. Sobotka and has published in prestigious journals such as The Journal of Immunology, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Marek Prouza

10 papers receiving 339 citations

Peers

Marek Prouza

MB

BE

EEE

IMMUN

MC

Ines Block Germany

Amrita Srivastava India

Yifeng Xu China

Yanan Deng China

Dhiral A. Shah United States

Shambhavi Singh India

Yuecheng Zhang China

Lihuang Li China

Yan Bai China

Dongmei Bai China

Ines Block Germany

Marek Prouza

283 ×1.7

MB

86 ×0.9

BE

180 ×2.4

EEE

32 ×0.6

IMMUN

36 ×0.7

MC

Citations per year, relative to Marek Prouza Marek Prouza (= 1×) peers Ines Block

Countries citing papers authored by Marek Prouza

Since Specialization

Citations

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

Fields of papers citing papers by Marek Prouza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Prouza

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

All Works

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11 of 11 papers shown

1.

Ohradanova‐Repic, Anna, Eugénia Nogueira, Andreia C. Gomes, et al.. (2017). Fab antibody fragment-functionalized liposomes for specific targeting of antigen-positive cells. Nanomedicine Nanotechnology Biology and Medicine. 14(1). 123–130. 44 indexed citations

2.

Borroto, Aldo, Raquel Blanco, Manuel Fuentes, et al.. (2014). Relevance of Nck–CD3ε Interaction for T Cell Activation In Vivo. The Journal of Immunology. 192(5). 2042–2053. 35 indexed citations

3.

Borroto, Aldo, Elaine P. Dopfer, Marek Prouza, et al.. (2012). Nck Recruitment to the TCR Required for ZAP70 Activation during Thymic Development. The Journal of Immunology. 190(3). 1103–1112. 25 indexed citations

4.

Dvořáková, Eva, Marek Prouza, Olga Janoušková, Martin Panigaj, & Karel Holada. (2011). Development of Monoclonal Antibodies Specific for Glycated Prion Protein. Journal of Toxicology and Environmental Health. 74(22-24). 1469–1475. 3 indexed citations

5.

Prouza, Marek, et al.. (2010). Factors enhancing l-valine production by the growth-limited l-isoleucine auxotrophic strain Corynebacterium glutamicum ΔilvA ΔpanB ilvNM13 (pECKAilvBNC). Journal of Industrial Microbiology & Biotechnology. 37(7). 689–699. 12 indexed citations

6.

Dopfer, Elaine P., Christine Louis-Dit-Sully, Marek Prouza, et al.. (2009). Analysis of novel phospho-ITAM specific antibodies in a S2 reconstitution system for TCR–CD3 signalling. Immunology Letters. 130(1-2). 43–50. 11 indexed citations

7.

Holátko, Jiří, Veronika Elišáková, Marek Prouza, et al.. (2008). Metabolic engineering of the L-valine biosynthesis pathway in Corynebacterium glutamicum using promoter activity modulation. Journal of Biotechnology. 139(3). 203–210. 77 indexed citations

8.

Tykva, R., et al.. (2008). Enantiomeric Purity of Biodegradation Products of Juvenogens by Newly Isolated Soil Bacteria. Journal of Agricultural and Food Chemistry. 56(15). 6604–6608.

9.

Joshi, Kanchan A., Marek Prouza, Joseph Wang, et al.. (2005). V-Type Nerve Agent Detection Using a Carbon Nanotube-Based Amperometric Enzyme Electrode. Analytical Chemistry. 78(1). 331–336. 110 indexed citations

10.

Prouza, Marek, et al.. (2002). Characterization of polychlorinated biphenyl-degrading bacteria isolated from contaminated sites in Czechia. Folia Microbiologica. 47(3). 247–254. 2 indexed citations

11.

Pavlů, Lenka, et al.. (1999). Characterization of chlorobenzoate degraders isolated from polychlorinated biphenyl-contaminated soil and sediment in the Czech Republic. Journal of Applied Microbiology. 87(3). 381–386. 24 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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