Martin Faldyna

4.3k total citations
183 papers, 3.3k citations indexed

About

Martin Faldyna is a scholar working on Immunology, Microbiology and Animal Science and Zoology. According to data from OpenAlex, Martin Faldyna has authored 183 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Immunology, 32 papers in Microbiology and 30 papers in Animal Science and Zoology. Recurrent topics in Martin Faldyna's work include Immune Response and Inflammation (31 papers), Microbial infections and disease research (28 papers) and Aquaculture disease management and microbiota (20 papers). Martin Faldyna is often cited by papers focused on Immune Response and Inflammation (31 papers), Microbial infections and disease research (28 papers) and Aquaculture disease management and microbiota (20 papers). Martin Faldyna collaborates with scholars based in Czechia, Italy and United States. Martin Faldyna's co-authors include Lenka Levá, M. Toman, A. Bartošková, Edita Jeklová, Hana Štěpánová, Ján Matiašovic, Pavlína Turánek Knötigová, Zdeňka Svobodová, Nikola Hodkovicová and Hana Kudláčková and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Martin Faldyna

179 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Faldyna Czechia 30 793 579 479 449 391 183 3.3k
Han Sang Yoo South Korea 34 828 1.0× 390 0.7× 1.1k 2.4× 1.1k 2.5× 600 1.5× 256 4.5k
Peter M. Smooker Australia 32 362 0.5× 558 1.0× 351 0.7× 810 1.8× 911 2.3× 106 3.3k
Mohammad Katouli Australia 34 496 0.6× 244 0.4× 811 1.7× 1.1k 2.4× 145 0.4× 156 3.7k
J. Lindsay Oaks United States 30 246 0.3× 361 0.6× 292 0.6× 304 0.7× 165 0.4× 63 3.6k
Ignacio de Blas Spain 29 3.2k 4.0× 362 0.6× 264 0.6× 956 2.1× 171 0.4× 133 5.3k
Jiakui Li China 36 209 0.3× 673 1.2× 509 1.1× 1.9k 4.3× 359 0.9× 292 4.8k
Haibin Huang China 30 594 0.7× 362 0.6× 1.1k 2.2× 613 1.4× 166 0.4× 120 2.6k
Yi Geng China 41 2.1k 2.6× 427 0.7× 370 0.8× 1.6k 3.5× 106 0.3× 270 6.0k
Els Van Coillie Belgium 46 881 1.1× 673 1.2× 1.7k 3.6× 1.8k 3.9× 190 0.5× 122 6.5k
N.C. Rath United States 35 529 0.7× 1.7k 3.0× 357 0.7× 825 1.8× 310 0.8× 118 4.0k

Countries citing papers authored by Martin Faldyna

Since Specialization
Citations

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

Fields of papers citing papers by Martin Faldyna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Faldyna

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Faldyna. A scholar is included among the top collaborators of Martin Faldyna 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 Martin Faldyna. Martin Faldyna 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
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Mudroňová, Dagmar, et al.. (2024). The effect of Limosilactobacillus fermentum 2i3 and 0.6% addition of humic substances on production parameters and the immune system of broilers. Poultry Science. 103(8). 103884–103884. 3 indexed citations
4.
Tesařı́k, Radek, et al.. (2024). Immune response in diseased and healthy common carp exposed to carp edema virus. Journal of Fish Diseases. 47(11). e14012–e14012.
5.
Hodkovicová, Nikola, et al.. (2024). Anabolic steroids induced changes at the level of protein expression: Effects of prolonged administration of testosterone and nandrolone to pigs. Environmental Toxicology and Pharmacology. 107. 104422–104422. 1 indexed citations
6.
Blahová, Jana, Petr Maršálek, Jan Mareš, et al.. (2023). Medicine designed to combat diseases of affluence affects the early development of fish. How do plastic microparticles contribute?. The Science of The Total Environment. 904. 166378–166378. 4 indexed citations
7.
Štěpánová, Hana, et al.. (2023). Shiga Toxin, Stx2e, Influences the Activity of Porcine Lymphocytes In Vitro. International Journal of Molecular Sciences. 24(9). 8009–8009. 1 indexed citations
8.
Popelka, Peter, Adriána Fečkaninová, Jana Koščová, et al.. (2023). Feeding-Regime-Dependent Intestinal Response of Rainbow Trout after Administration of a Novel Probiotic Feed. Animals. 13(12). 1892–1892. 3 indexed citations
9.
Benedetto, Alessandro, Elena Biasibetti, Maddalena Arigoni, et al.. (2023). RNAseq Analysis of Livers from Pigs Treated with Testosterone and Nandrolone Esters: Selection and Field Validation of Transcriptional Biomarkers. Animals. 13(22). 3495–3495. 1 indexed citations
10.
Solà‐Oriol, David, Matilde D’Angelo, María Carmen Collado, et al.. (2022). Potential effect of twoBacillusprobiotic strains on performance and fecal microbiota of breeding sows and their piglets. Journal of Animal Science. 100(6). 15 indexed citations
11.
Faldyna, Martin, et al.. (2021). Cadmium concentration in cattle tissues in the Czech Republic. Veterinární Medicína. 66(9). 369–375. 4 indexed citations
12.
Vojtová, Lucy, Břetislav Lipový, Martin Faldyna, et al.. (2021). Healing and Angiogenic Properties of Collagen/Chitosan Scaffolds Enriched with Hyperstable FGF2-STAB® Protein: In Vitro, Ex Ovo and In Vivo Comprehensive Evaluation. Biomedicines. 9(6). 590–590. 16 indexed citations
13.
Faldyna, Martin, et al.. (2020). Granulation tissue enriched by aspirin and omega-3 fatty acids in healing experimental periodontal lesion. Biomedical Papers. 165(2). 216–223. 1 indexed citations
14.
Štěpánová, Hana, et al.. (2020). Minimal Concentrations of Deoxynivalenol Reduce Cytokine Production in Individual Lymphocyte Populations in Pigs. Toxins. 12(3). 190–190. 11 indexed citations
15.
Hodkovicová, Nikola, Jan Mareš, Pavla Sehonová, et al.. (2020). The effect of a sudden temperature decrease on selected physiological indices in the common carp. Veterinární Medicína. 65(8). 346–357. 1 indexed citations
16.
Krejčí, J., Kateřina Nechvátalová, Hana Kudláčková, et al.. (2012). Effects of adjuvants on the immune response of pigs after intradermal administration of antigen. Research in Veterinary Science. 94(1). 73–76. 18 indexed citations
17.
Ondráčková, Petra, et al.. (2011). The effect of adenosine on pro-inflammatory cytokine production by porcine T cells. Veterinary Immunology and Immunopathology. 145(1-2). 332–339. 6 indexed citations
18.
Jaglic, Zoran, Edita Jeklová, Henrik Christensen, et al.. (2011). Host response in rabbits to infection with Pasteurella multocida serogroup F strains originating from fowl cholera. Research at the University of Copenhagen (University of Copenhagen). 1 indexed citations
19.
Faldyna, Martin, et al.. (2008). Ontogeny of reactive nitrogen species production by blood phagocytes in pigs. Physiological Research. 57(1). 81–88. 4 indexed citations
20.
Sedlák, Kamil, et al.. (2000). Fatal toxoplasmosis in brown hares (Lepus europaeus): possible reasons of their high susceptibility to the infection. Veterinary Parasitology. 93(1). 13–28. 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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