This map shows the geographic impact of M. Tyra'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 M. Tyra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Tyra more than expected).
This network shows the impact of papers produced by M. Tyra. 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 M. Tyra. The network helps show where M. Tyra may publish in the future.
Co-authorship network of co-authors of M. Tyra
This figure shows the co-authorship network connecting the top 25 collaborators of M. Tyra.
A scholar is included among the top collaborators of M. Tyra 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 M. Tyra. M. Tyra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tyra, M., Magdalena Szyndler‐Nędza, & R. Eckert. (2011). Possibilities of using ultrasonography in breeding work with pigs. Part II - relationships between measurements obtained by different techniques and detailed dissection results. Annals of Animal Science. 11(2).2 indexed citations
11.
Tyra, M., Magdalena Szyndler‐Nędza, & R. Eckert. (2011). Possibilities of using ultrasonography in breeding work with pigs. Part I - analysis of ultrasonic, ultrasonographic and dissection measurements of the most numerous breeds of pigs raised in Poland. Annals of Animal Science. 11(1).1 indexed citations
12.
Szyndler‐Nędza, Magdalena, M. Tyra, Tadeusz Blicharski, & Katarzyna Piórkowska. (2010). Effect of mutation in MC4R gene on carcass quality in Pulawska pig included in conservation breeding programme.. Animal Science Papers and Reports. 28(1). 37–45.17 indexed citations
13.
Tyra, M., et al.. (2010). Characteristics of the Polish breeding population of pigs in terms of intramuscular fat (IMF) content of m. longissimus dorsi.. Annals of Animal Science. 10(3). 241–248.15 indexed citations
14.
Szyndler‐Nędza, Magdalena, M. Tyra, & M. Różycki. (2010). Coefficients of heritability for fattening and slaughter traits included in a modified performance testing method.. Annals of Animal Science. 10(2). 117–125.8 indexed citations
15.
Tyra, M., et al.. (2009). Meatiness and fatness traits of Polish Large White and Polish Landrace pigs differing in fattening traits.. Annals of Animal Science. 9(3). 299–306.8 indexed citations
16.
Orzechowska, B., et al.. (2008). Relationships between muscle fibre characteristics and physico-chemical properties of longissimus lumborum muscle and growth rate in pig fatteners of three breeds*. Animal Science Papers and Reports. 26(4). 277–285.12 indexed citations
17.
Tyra, M., et al.. (2008). Possibility of improvement of lean meat content of ham and loin in pigs by selection for growth and feed conversion rate.. Animal Science Papers and Reports. 26(4). 305–316.3 indexed citations
18.
Orzechowska, B., et al.. (2008). Effect of growth rate on the intramuscular fat content of longissimus dorsi muscle in Polish Large White and Polish Landrace pigs. Annals of Animal Science. 8(3).2 indexed citations
19.
Orzechowska, B., M. Różycki, M. Tyra, & M. Kamyczek. (2004). Effect of the stress-sensitivity RYR1T gene on muscling and fatness of carcasses and cuts, and meat quality in a Polish Large White, Duroc and Pietrain population. 22(3).1 indexed citations
20.
Tyra, M. & M. Różycki. (2002). Phenotypic and genetic correlations between reproductive traits of pigs. Annals of Animal Science. 2(2).
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.