A. Sosnicki

2.2k total citations
44 papers, 1.7k citations indexed

About

A. Sosnicki is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, A. Sosnicki has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Animal Science and Zoology, 11 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in A. Sosnicki's work include Meat and Animal Product Quality (26 papers), Animal Nutrition and Physiology (17 papers) and Muscle Physiology and Disorders (8 papers). A. Sosnicki is often cited by papers focused on Meat and Animal Product Quality (26 papers), Animal Nutrition and Physiology (17 papers) and Muscle Physiology and Disorders (8 papers). A. Sosnicki collaborates with scholars based in United States, Spain and Czechia. A. Sosnicki's co-authors include Lawrence C. Rome, Marion L. Greaser, Dallas O. Goble, Inho Choi, D. C. Ciobanu, E. Huff‐Lonergan, Steven M. Lonergan, Shai Barbut, Barry W. Wilson and Gordon J. Lutz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Food Chemistry.

In The Last Decade

A. Sosnicki

41 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Sosnicki United States 22 1.1k 340 233 212 210 44 1.7k
S.B. Wotton United Kingdom 29 1.1k 1.0× 201 0.6× 209 0.9× 131 0.6× 483 2.3× 88 2.0k
N. G. Gregory United Kingdom 27 1.3k 1.2× 151 0.4× 127 0.5× 127 0.6× 696 3.3× 62 1.9k
H. J. Swatland Canada 23 1.9k 1.8× 549 1.6× 454 1.9× 67 0.3× 216 1.0× 204 2.6k
L. Bünger United Kingdom 30 1.2k 1.1× 792 2.3× 182 0.8× 226 1.1× 406 1.9× 161 3.2k
Neville G. Gregory United Kingdom 18 606 0.6× 180 0.5× 49 0.2× 194 0.9× 517 2.5× 44 1.6k
Gordon K. Murdoch United States 22 256 0.2× 532 1.6× 86 0.4× 150 0.7× 82 0.4× 76 1.6k
M. J. Gentle United Kingdom 30 1.5k 1.4× 104 0.3× 71 0.3× 213 1.0× 847 4.0× 70 2.4k
I. Rozenboim Israel 32 1.9k 1.8× 665 2.0× 26 0.1× 284 1.3× 301 1.4× 99 3.3k
W. V. Macfarlane Australia 23 347 0.3× 94 0.3× 38 0.2× 322 1.5× 178 0.8× 67 1.3k
J. Hattingh South Africa 22 294 0.3× 94 0.3× 28 0.1× 467 2.2× 261 1.2× 114 1.6k

Countries citing papers authored by A. Sosnicki

Since Specialization
Citations

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

Fields of papers citing papers by A. Sosnicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Sosnicki

This figure shows the co-authorship network connecting the top 25 collaborators of A. Sosnicki. A scholar is included among the top collaborators of A. Sosnicki 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 A. Sosnicki. A. Sosnicki 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.
Sosnicki, A., J. M. Gonzalez, Brandon K.K. Fields, & P. W. Knap. (2024). A review of porcine skeletal muscle plasticity and implications for genetic improvement of carcass and meat quality*. Meat Science. 219. 109676–109676.
2.
Beaton, Benjamin P., Ching-Yi Chen, M. Culbertson, et al.. (2024). Pigs lacking the SRCR5 domain of CD163 protein demonstrate heritable resistance to the PRRS virus and no changes in animal performance from birth to maturity. SHILAP Revista de lepidopterología. 6. 1322012–1322012. 7 indexed citations
3.
Scheffler, T.L., et al.. (2013). High glycolytic potential does not predict low ultimate pH in pork. Meat Science. 95(1). 85–91. 49 indexed citations
4.
Edwards, L.N., Temple Grandin, T. E. Engle, et al.. (2010). Use of exsanguination blood lactate to assess the quality of pre-slaughter pig handling. Meat Science. 86(2). 384–390. 55 indexed citations
5.
Sosnicki, A. & Scott Newman. (2010). The support of meat value chains by genetic technologies. Meat Science. 86(1). 129–137. 21 indexed citations
6.
Edwards, L.N., Temple Grandin, T. E. Engle, et al.. (2010). The effects of pre-slaughter pig management from the farm to the processing plant on pork quality. Meat Science. 86(4). 938–944. 25 indexed citations
7.
Gil, Marta, M. I. Delday, M. Gispert, et al.. (2008). Relationships between biochemical characteristics and meat quality of Longissimus thoracis and Semimembranosus muscles in five porcine lines. Meat Science. 80(3). 927–933. 48 indexed citations
8.
Gispert, M., Marta Gil, Antonio Velarde, et al.. (2007). Relationships between carcass quality parameters and genetic types. Meat Science. 77(3). 397–404. 55 indexed citations
9.
Guimarães, Simone Eliza Facioni, Max F. Rothschild, E. Huff‐Lonergan, et al.. (2006). Association analyses of MC4R and PRKAG3 genes in pigs with different EBV for growth.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 6–50.
10.
Pośpiech, E., et al.. (2004). Tenderness and protein changes of pork in relation to pig genotype (RN-) and rate of postmortem glycolysis. 2 indexed citations
11.
Gil, Marta, et al.. (2003). The relationship between pig genetics, myosin heavy chain I, biochemical traits and quality of M. longissimus thoracis. Meat Science. 65(3). 1063–1070. 39 indexed citations
12.
BREWER, M.S., J. Jensen, A. Sosnicki, et al.. (2002). The effect of pig genetics on palatability, color and physical characteristics of fresh pork loin chops. Meat Science. 61(3). 249–256. 55 indexed citations
13.
Sosnicki, A. & Barry W. Wilson. (1991). Pathology of turkey skeletal muscle: implications for the poultry industry. Digital Commons - USU (Utah State University). 10(4). 5. 65 indexed citations
14.
Sosnicki, A., et al.. (1991). Distribution of Capillaries in Normal and Ischemic Turkey Skeletal Muscle. Poultry Science. 70(2). 343–348. 23 indexed citations
15.
Sosnicki, A., et al.. (1991). Histopathological and Ultrastructural Alterations of Turkey Skeletal Muscle. Poultry Science. 70(2). 349–357. 29 indexed citations
16.
Rome, Lawrence C. & A. Sosnicki. (1990). The influence of temperature on mechanics of red muscle in carp.. The Journal of Physiology. 427(1). 151–169. 53 indexed citations
17.
Sosnicki, A., Gordon J. Lutz, Lawrence C. Rome, & Dallas O. Goble. (1989). Histochemical and molecular determination of fiber types in chemically skinned single equine skeletal muscle fibers.. Journal of Histochemistry & Cytochemistry. 37(11). 1731–1738. 20 indexed citations
18.
Sosnicki, A., et al.. (1988). Characterization of Hypercontracted Fibers in Skeletal Muscle of Domestic Turkey (Meleagris Gallopavo). Digital Commons - USU (Utah State University). 7(2). 4. 7 indexed citations
19.
Sosnicki, A., et al.. (1988). Structural alterations in oedematous and apparently normal skeletal muscle of domestic Turkey. Avian Pathology. 17(4). 775–791. 13 indexed citations
20.

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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