Jan Tachezy

7.0k total citations
107 papers, 4.2k citations indexed

About

Jan Tachezy is a scholar working on Molecular Biology, Parasitology and Microbiology. According to data from OpenAlex, Jan Tachezy has authored 107 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 50 papers in Parasitology and 41 papers in Microbiology. Recurrent topics in Jan Tachezy's work include Reproductive tract infections research (40 papers), Parasitic Infections and Diagnostics (40 papers) and Protist diversity and phylogeny (24 papers). Jan Tachezy is often cited by papers focused on Reproductive tract infections research (40 papers), Parasitic Infections and Diagnostics (40 papers) and Protist diversity and phylogeny (24 papers). Jan Tachezy collaborates with scholars based in Czechia, United States and United Kingdom. Jan Tachezy's co-authors include Pavel Doležal, Ivan Hrdý, Trevor Lithgow, Róbert Šuťák, Vladimir A. Likić, Jaroslav Kulda, Miklós Müller, Lidya B. Sánchez, Jaroslav Flegr and Petr Rada and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jan Tachezy

105 papers receiving 4.1k 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 Tachezy Czechia 40 2.2k 1.5k 1.1k 654 539 107 4.2k
Patricia J. Johnson United States 44 2.8k 1.3× 1.4k 0.9× 1.6k 1.5× 632 1.0× 999 1.9× 110 5.4k
Robert P. Hirt United Kingdom 43 3.0k 1.3× 1.7k 1.1× 553 0.5× 378 0.6× 299 0.6× 88 5.3k
Ivan Hrdý Czechia 28 1.0k 0.5× 635 0.4× 368 0.3× 268 0.4× 213 0.4× 98 2.4k
Éric Viscogliosi France 42 1.5k 0.7× 3.4k 2.3× 355 0.3× 2.1k 3.2× 648 1.2× 145 6.1k
Marlene Benchimol Brazil 36 1.2k 0.6× 1.6k 1.0× 1.3k 1.2× 699 1.1× 991 1.8× 182 4.1k
Julio Coll Spain 35 1.0k 0.5× 209 0.1× 429 0.4× 489 0.7× 376 0.7× 175 4.0k
Jack Maniloff United States 27 1.7k 0.8× 344 0.2× 1.7k 1.6× 399 0.6× 699 1.3× 99 4.7k
A. Birch‐Andersen Denmark 28 1.5k 0.7× 418 0.3× 397 0.4× 337 0.5× 865 1.6× 113 4.0k
Daniel E. Dykhuizen United States 38 2.1k 1.0× 1.6k 1.0× 120 0.1× 1.4k 2.1× 244 0.5× 82 5.7k
Jaroslav Kulda Czechia 27 529 0.2× 819 0.5× 642 0.6× 336 0.5× 150 0.3× 41 1.8k

Countries citing papers authored by Jan Tachezy

Since Specialization
Citations

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

Fields of papers citing papers by Jan Tachezy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Tachezy

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Tachezy. A scholar is included among the top collaborators of Jan Tachezy 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 Tachezy. Jan Tachezy 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.
Havelka, Miloš, Vojtěch Žárský, Feifei Xu, et al.. (2025). The expanded genome of Hexamita inflata, a free-living diplomonad. Scientific Data. 12(1). 192–192.
2.
Dacks, Joel B., et al.. (2024). The retromer and retriever systems are conserved and differentially expanded in parabasalids. Journal of Cell Science. 137(13). 1 indexed citations
3.
Erban, Tomáš, Bruno Sopko, Karel Harant, et al.. (2024). Varroa destructor parasitism and Deformed wing virus infection in honey bees are linked to peroxisome‐induced pathways. PROTEOMICS. 24(9). e2300312–e2300312. 1 indexed citations
4.
Cheng, Wei-Hung, Po-Jung Huang, Chi‐Ching Lee, et al.. (2022). Identification of Endosymbiotic Virus in Small Extracellular Vesicles Derived from Trichomonas vaginalis. Genes. 13(3). 531–531. 12 indexed citations
5.
Verner, Zdeněk, Vojtěch Žárský, Tien Le, et al.. (2021). Anaerobic peroxisomes in Entamoeba histolytica metabolize myo-inositol. PLoS Pathogens. 17(11). e1010041–e1010041. 12 indexed citations
6.
Rada, Petr, et al.. (2021). Cytidine nucleoside analog is an effective antiviral drug against Trichomonasvirus. Journal of Microbiology Immunology and Infection. 55(2). 191–198. 10 indexed citations
7.
Le, Tien, Vojtěch Žárský, Eva Nývltová, et al.. (2020). Anaerobic peroxisomes in Mastigamoeba balamuthi. Proceedings of the National Academy of Sciences. 117(4). 2065–2075. 15 indexed citations
8.
Rada, Petr, Vojtěch Žárský, Sami Kereı̈che, et al.. (2019). Triplet-pore structure of a highly divergent TOM complex of hydrogenosomes in Trichomonas vaginalis. PLoS Biology. 17(1). e3000098–e3000098. 27 indexed citations
9.
Rada, Petr, et al.. (2019). Investigation of the Secretory Pathway in Trichomonas vaginalis Argues against a Moonlighting Function of Hydrogenosomal Enzymes. Journal of Eukaryotic Microbiology. 66(6). 899–910. 9 indexed citations
10.
Tachezy, Jan, et al.. (2017). Zoonotic Trichomonas tenax and a new trichomonad species, Trichomonas brixi n. sp., from the oral cavities of dogs and cats. International Journal for Parasitology. 47(5). 247–255. 14 indexed citations
11.
Garg, Sriram G., Verena Zimorski, Petr Rada, et al.. (2015). Conservation of Transit Peptide-Independent Protein Import into the Mitochondrial and Hydrogenosomal Matrix. Genome Biology and Evolution. 7(9). 2716–2726. 42 indexed citations
13.
Saraiva, Lı́gia M., et al.. (2008). Flavodiiron Protein from Trichomonas vaginalis Hydrogenosomes: the Terminal Oxygen Reductase. Eukaryotic Cell. 8(1). 47–55. 47 indexed citations
14.
Šmíd, Ondřej, Simon R. Harris, Tomáš Kučera, et al.. (2008). Reductive Evolution of the Mitochondrial Processing Peptidases of the Unicellular Parasites Trichomonas vaginalis and Giardia intestinalis. PLoS Pathogens. 4(12). e1000243–e1000243. 48 indexed citations
15.
Zubáčová, Zuzana, et al.. (2008). Comparative analysis of trichomonad genome sizes and karyotypes. Molecular and Biochemical Parasitology. 161(1). 49–54. 43 indexed citations
16.
Doležal, Pavel, Ondřej Šmíd, Petr Rada, et al.. (2005). Giardia mitosomes and trichomonad hydrogenosomes share a common mode of protein targeting. Proceedings of the National Academy of Sciences. 102(31). 10924–10929. 106 indexed citations
17.
Hrdý, Ivan, Richard Cammack, Pavel Stopka, Jaroslav Kulda, & Jan Tachezy. (2005). Alternative Pathway of Metronidazole Activation in Trichomonas vaginalis Hydrogenosomes. Antimicrobial Agents and Chemotherapy. 49(12). 5033–5036. 48 indexed citations
18.
Čepička, Ivan, et al.. (2004). Cryptic species within the Tetratrichomonas gallinarum species complex revealed by molecular polymorphism. Veterinary Parasitology. 128(1-2). 11–21. 78 indexed citations
19.
Hrdý, Ivan, Robert P. Hirt, Pavel Doležal, et al.. (2004). Trichomonas hydrogenosomes contain the NADH dehydrogenase module of mitochondrial complex I. Nature. 432(7017). 618–622. 197 indexed citations
20.
Vyoral, Daniel, Jir̆ı́ Petrák, Róbert Šuťák, et al.. (2003). Incorporation of iron into Tritrichomonas foetus cell compartments reveals ferredoxin as a major iron-binding protein in hydrogenosomes. Microbiology. 149(7). 1911–1921. 16 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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