Jan Procházka

3.2k total citations
92 papers, 1.3k citations indexed

About

Jan Procházka is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jan Procházka has authored 92 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 17 papers in Genetics and 10 papers in Immunology. Recurrent topics in Jan Procházka's work include dental development and anomalies (11 papers), Cleft Lip and Palate Research (8 papers) and Bone and Dental Protein Studies (6 papers). Jan Procházka is often cited by papers focused on dental development and anomalies (11 papers), Cleft Lip and Palate Research (8 papers) and Bone and Dental Protein Studies (6 papers). Jan Procházka collaborates with scholars based in Czechia, United States and Russia. Jan Procházka's co-authors include Ophir D. Klein, Radislav Sedláček, E Kr̆epela, Michaela Procházková, Renata Peterková, Michaela Rothová, František Špoutil, M Peterka, Pavel Fiala and Chunying Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jan Procházka

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Procházka Czechia 20 791 217 136 136 123 92 1.3k
Mika Ikegame Japan 21 769 1.0× 139 0.6× 158 1.2× 104 0.8× 80 0.7× 66 1.4k
Kerstin Seidel United States 22 1.3k 1.7× 175 0.8× 284 2.1× 127 0.9× 296 2.4× 52 2.1k
Hiroaki Nakamura Japan 24 984 1.2× 145 0.7× 206 1.5× 109 0.8× 206 1.7× 59 1.6k
Milena Romanello Italy 24 1.2k 1.5× 174 0.8× 121 0.9× 79 0.6× 60 0.5× 51 2.0k
Laura C. Zelarayán Germany 18 1.1k 1.4× 134 0.6× 62 0.5× 102 0.8× 79 0.6× 48 1.4k
Yina Li China 12 863 1.1× 234 1.1× 47 0.3× 58 0.4× 65 0.5× 35 1.3k
Eva Matalová Czechia 22 1.2k 1.5× 226 1.0× 347 2.6× 118 0.9× 367 3.0× 101 1.5k
Keijo Luukko Norway 26 1.4k 1.8× 376 1.7× 187 1.4× 159 1.2× 172 1.4× 52 2.2k
B. Robert France 16 1.3k 1.6× 286 1.3× 137 1.0× 105 0.8× 76 0.6× 28 1.6k
George Minowada United States 15 1.7k 2.2× 357 1.6× 84 0.6× 97 0.7× 107 0.9× 18 2.2k

Countries citing papers authored by Jan Procházka

Since Specialization
Citations

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

Fields of papers citing papers by Jan Procházka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Procházka

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Procházka. A scholar is included among the top collaborators of Jan Procházka 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 Jan Procházka. Jan Procházka 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.
Hubálek, Martin, et al.. (2024). Proteolytic profiles of two isoforms of human AMBN expressed in E. coli by MMP-20 and KLK-4 proteases. Heliyon. 10(2). e24564–e24564.
2.
Drobek, Ales, Veronika Niederlová, Darina Paprčková, et al.. (2024). TBK1-associated adapters TANK and AZI2 protect mice against TNF-induced cell death and severe autoinflammatory diseases. Nature Communications. 15(1). 10013–10013. 1 indexed citations
3.
Truxová, Iva, Jana Raková, Cyril Šálek, et al.. (2023). Type I interferon signaling in malignant blasts contributes to treatment efficacy in AML patients. Cell Death and Disease. 14(3). 209–209. 15 indexed citations
4.
Nichtová, Zuzana, Nathalia Romanelli Vicente Dragano, David Pajuelo Reguera, et al.. (2023). A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice. Mammalian Genome. 34(2). 107–122. 2 indexed citations
5.
Reguera, David Pajuelo, Michaela Králíková, Vendula Novosadová, et al.. (2023). Ablation of Gabra5 Influences Corticosterone Levels and Anxiety-like Behavior in Mice. Genes. 14(2). 285–285.
6.
Procházka, Jan, et al.. (2023). OCT and ERG Techniques in High-Throughput Phenotyping of Mouse Vision. Genes. 14(2). 294–294. 1 indexed citations
7.
Krausová, Michaela, Zuzana Cvačková, Jan Kubovčiak, et al.. (2023). Retinitis pigmentosa–associated mutations in mouse Prpf8 cause misexpression of circRNAs and degeneration of cerebellar granule cells. Life Science Alliance. 6(6). e202201855–e202201855. 3 indexed citations
8.
Khani, Sajjad, Petr Kašpárek, Jan Procházka, et al.. (2022). Comprehensive Transcriptional Profiling and Mouse Phenotyping Reveals Dispensable Role for Adipose Tissue Selective Long Noncoding RNA Gm15551. Non-Coding RNA. 8(3). 32–32. 2 indexed citations
9.
Bardová, Kristina, Jan Procházka, František Špoutil, et al.. (2022). Novel thiazolidinedione analog reduces a negative impact on bone and mesenchymal stem cell properties in obese mice compared to classical thiazolidinediones. Molecular Metabolism. 65. 101598–101598. 27 indexed citations
10.
Novosadová, Vendula, et al.. (2022). Generation and Characterization of a Novel Angelman Syndrome Mouse Model with a Full Deletion of the Ube3a Gene. Cells. 11(18). 2815–2815. 7 indexed citations
11.
Tsyklauri, Oksana, Veronika Niederlová, Elizabeth Forsythe, et al.. (2021). Bardet–Biedl Syndrome ciliopathy is linked to altered hematopoiesis and dysregulated self‐tolerance. EMBO Reports. 22(2). e50785–e50785. 23 indexed citations
12.
Šedová, Lucie, Silvia Petrezsélyová, Jan Procházka, et al.. (2021). Semi-Lethal Primary Ciliary Dyskinesia in Rats Lacking the Nme7 Gene. International Journal of Molecular Sciences. 22(8). 3810–3810. 10 indexed citations
13.
Špoutil, František, et al.. (2021). The receptor-type protein tyrosine phosphatase CD45 promotes onset and severity of IL-1β–mediated autoinflammatory osteomyelitis. Journal of Biological Chemistry. 297(4). 101131–101131. 10 indexed citations
14.
Novosadová, Vendula, et al.. (2021). Dual role of Fam208a during zygotic cleavage and early embryonic development. Experimental Cell Research. 406(2). 112723–112723. 2 indexed citations
15.
Vaněk, Václav, František Sedlák, Jan Procházka, et al.. (2021). Lipid Nanoparticles for Broad‐Spectrum Nucleic Acid Delivery. Advanced Functional Materials. 31(47). 19 indexed citations
16.
Kašpar, Petr, et al.. (2019). c-Myb regulates tumorigenic potential of embryonal rhabdomyosarcoma cells. Scientific Reports. 9(1). 5 indexed citations
17.
Petrezsélyová, Silvia, Jan Dvořák, Peter J. Makovicky, et al.. (2019). Myopia disease mouse models: a missense point mutation (S673G) and a protein-truncating mutation of the Zfp644 mimic human disease phenotype. Cell & Bioscience. 9(1). 21–21. 5 indexed citations
18.
Huebner, K, et al.. (2019). The activating transcription factor 2: an influencer of cancer progression. Mutagenesis. 34(5-6). 375–389. 43 indexed citations
19.
Adam, P., et al.. (2009). Základní vyšetření likvoru v diagnostice postižení centrálního nervového systému. Neurologie pro praxi. 10(5). 285–289. 2 indexed citations
20.
Kr̆epela, E, et al.. (1998). Cysteine proteases and cysteine protease inhibitors in non-small cell lung cancer.. PubMed. 45(5). 318–31. 22 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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