Daniel Sojka

2.4k total citations
42 papers, 1.8k citations indexed

About

Daniel Sojka is a scholar working on Parasitology, Insect Science and Immunology. According to data from OpenAlex, Daniel Sojka has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Parasitology, 14 papers in Insect Science and 13 papers in Immunology. Recurrent topics in Daniel Sojka's work include Vector-borne infectious diseases (24 papers), Insect and Pesticide Research (9 papers) and Trypanosoma species research and implications (7 papers). Daniel Sojka is often cited by papers focused on Vector-borne infectious diseases (24 papers), Insect and Pesticide Research (9 papers) and Trypanosoma species research and implications (7 papers). Daniel Sojka collaborates with scholars based in Czechia, United States and Slovakia. Daniel Sojka's co-authors include Petr Kopáček, Zdeněk Franta, Martin Horn, Michael A. Mares, Ondřej Hajdušek, Marie Jalovecká, Conor R. Caffrey, Veronika Burešová, Leonhard Schnittger and Jan Dvořák and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Daniel Sojka

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sojka Czechia 21 1.3k 594 418 385 349 42 1.8k
Naotoshi Tsuji Japan 26 1.2k 0.9× 534 0.9× 492 1.2× 472 1.2× 332 1.0× 98 1.9k
Jinlin Zhou China 27 1.5k 1.1× 535 0.9× 675 1.6× 489 1.3× 403 1.2× 124 2.2k
Takeharu Miyoshi Japan 26 920 0.7× 715 1.2× 279 0.7× 336 0.9× 281 0.8× 59 1.6k
Jon T. Skare United States 27 1.4k 1.1× 502 0.8× 946 2.3× 495 1.3× 406 1.2× 45 2.2k
Aoi Masuda Brazil 26 911 0.7× 571 1.0× 397 0.9× 561 1.5× 391 1.1× 56 1.9k
Ondřej Hajdušek Czechia 22 1.4k 1.1× 599 1.0× 720 1.7× 222 0.6× 363 1.0× 48 1.7k
Carlos Termignoni Brazil 26 1.1k 0.9× 621 1.0× 402 1.0× 541 1.4× 309 0.9× 73 2.0k
Mingqun Lin United States 25 897 0.7× 296 0.5× 462 1.1× 446 1.2× 534 1.5× 50 1.7k
Zdeněk Franta Czechia 18 766 0.6× 524 0.9× 254 0.6× 261 0.7× 274 0.8× 23 1.1k
Haiyan Gong China 22 897 0.7× 292 0.5× 354 0.8× 458 1.2× 314 0.9× 104 1.6k

Countries citing papers authored by Daniel Sojka

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sojka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sojka

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Sojka. A scholar is included among the top collaborators of Daniel Sojka 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 Daniel Sojka. Daniel Sojka 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.
Urbanová, Veronika, Marie Vancová, Jiří Týč, et al.. (2025). Ultrastructural changes in the midgut of Ixodes ricinus nymphs across feeding and digestion stages. Ticks and Tick-borne Diseases. 16(4). 102503–102503.
2.
Horn, Martin, Daniel Sojka, Stephen Lu, et al.. (2025). Proteomic Insight Into the Ontogeny of Blood-Meal Digestion in the Tick Ixodes ricinus. Molecular & Cellular Proteomics. 24(9). 101054–101054.
3.
Sojka, Daniel, et al.. (2024). Advances in protease inhibition-based chemotherapy: A decade of insights from Malaria research. Advances in Parasitology. 126. 205–227. 2 indexed citations
4.
Dyčka, Filip, Stephen Lu, Veronika Urbanová, et al.. (2023). Insight Into the Dynamics of the Ixodes ricinus Nymphal Midgut Proteome. Molecular & Cellular Proteomics. 22(11). 100663–100663. 6 indexed citations
5.
Florin‐Christensen, Mónica, et al.. (2023). Degrade to survive: the intricate world of piroplasmid proteases. Trends in Parasitology. 39(7). 532–546. 4 indexed citations
6.
Asada, Masahito, et al.. (2023). Establishment of a stable transfection and gene targeting system in Babesia divergens. Frontiers in Cellular and Infection Microbiology. 13. 1278041–1278041. 4 indexed citations
7.
Perner, Jan, Veronika Urbanová, Daniel Sojka, et al.. (2021). Haem-responsive gene transporter enables mobilization of host haem in ticks. Open Biology. 11(9). 210048–210048. 6 indexed citations
8.
Mohamed, Amr A., et al.. (2021). Comparison of the hemolysis machinery in two evolutionarily distant blood-feeding arthropod vectors of human diseases. PLoS neglected tropical diseases. 15(2). e0009151–e0009151. 3 indexed citations
9.
Jalovecká, Marie, et al.. (2019). Babesia Life Cycle – When Phylogeny Meets Biology. Trends in Parasitology. 35(5). 356–368. 146 indexed citations
10.
Brynda, J., Nawsad Alam, Daniel Sojka, et al.. (2018). Novel Structural Mechanism of Allosteric Regulation of Aspartic Peptidases via an Evolutionarily Conserved Exosite. Cell chemical biology. 25(3). 318–329.e4. 18 indexed citations
11.
Jalovecká, Marie, David J. Hartmann, Yukiko Miyamoto, et al.. (2018). Validation of Babesia proteasome as a drug target. International Journal for Parasitology Drugs and Drug Resistance. 8(3). 394–402. 19 indexed citations
12.
Sojka, Daniel, David J. Hartmann, Pavla Bartošová‐Sojková, & Jan Dvořák. (2016). Parasite Cathepsin D-Like Peptidases and Their Relevance as Therapeutic Targets. Trends in Parasitology. 32(9). 708–723. 22 indexed citations
13.
Hammoudi, Pierre‐Mehdi, Damien Jacot, Christina Mueller, et al.. (2015). Fundamental Roles of the Golgi-Associated Toxoplasma Aspartyl Protease, ASP5, at the Host-Parasite Interface. PLoS Pathogens. 11(10). e1005211–e1005211. 90 indexed citations
14.
Sojka, Daniel, et al.. (2015). Multienzyme degradation of host serum albumin in ticks. Ticks and Tick-borne Diseases. 7(4). 604–613. 36 indexed citations
15.
Franta, Zdeněk, Daniel Sojka, Jan Dvořák, et al.. (2011). IrCL1 – The haemoglobinolytic cathepsin L of the hard tick, Ixodes ricinus. International Journal for Parasitology. 41(12). 1253–1262. 36 indexed citations
16.
17.
Franta, Zdeněk, et al.. (2010). Dynamics of digestive proteolytic system during blood feeding of the hard tick Ixodes ricinus. Parasites & Vectors. 3(1). 119–119. 89 indexed citations
18.
Hajdušek, Ondřej, Daniel Sojka, Petr Kopáček, et al.. (2009). Knockdown of proteins involved in iron metabolism limits tick reproduction and development. Proceedings of the National Academy of Sciences. 106(4). 1033–1038. 131 indexed citations
19.
Burešová, Veronika, Ondřej Hajdušek, Zdeněk Franta, Daniel Sojka, & Petr Kopáček. (2008). IrAM—An α2-macroglobulin from the hard tick Ixodes ricinus: Characterization and function in phagocytosis of a potential pathogen Chryseobacterium indologenes. Developmental & Comparative Immunology. 33(4). 489–498. 77 indexed citations
20.
Sojka, Daniel, Ondřej Hajdušek, Jan Dvořák, et al.. (2007). IrAE – An asparaginyl endopeptidase (legumain) in the gut of the hard tick Ixodes ricinus. International Journal for Parasitology. 37(7). 713–724. 71 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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