J. A. Jendza

453 total citations
26 papers, 348 citations indexed

About

J. A. Jendza is a scholar working on Animal Science and Zoology, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, J. A. Jendza has authored 26 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Animal Science and Zoology, 7 papers in Nutrition and Dietetics and 6 papers in Plant Science. Recurrent topics in J. A. Jendza's work include Animal Nutrition and Physiology (19 papers), Phytase and its Applications (6 papers) and Trace Elements in Health (5 papers). J. A. Jendza is often cited by papers focused on Animal Nutrition and Physiology (19 papers), Phytase and its Applications (6 papers) and Trace Elements in Health (5 papers). J. A. Jendza collaborates with scholars based in United States, Germany and Austria. J. A. Jendza's co-authors include O. Adeola, Ryan N. Dilger, J. S. Sands, S.A. Adedokun, O.A. Olukosi, M.R. Bedford, A. Owusu-Asiedu, S. Powell, L. L. Southern and Pratima Adhikari and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and Poultry Science.

In The Last Decade

J. A. Jendza

24 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. A. Jendza United States 10 262 152 88 69 35 26 348
Messias Alves da Trindade Neto Brazil 12 379 1.4× 88 0.6× 74 0.8× 77 1.1× 82 2.3× 71 445
D. Weremko Poland 9 266 1.0× 95 0.6× 75 0.9× 33 0.5× 50 1.4× 32 333
A. Favero Brazil 12 367 1.4× 137 0.9× 57 0.6× 115 1.7× 19 0.5× 29 411
D. Feuerstein Germany 11 240 0.9× 159 1.0× 73 0.8× 74 1.1× 15 0.4× 21 292
CN Coon United States 7 401 1.5× 211 1.4× 88 1.0× 128 1.9× 16 0.5× 8 520
Tiago Tedeschi dos Santos United Kingdom 12 374 1.4× 195 1.3× 74 0.8× 132 1.9× 20 0.6× 21 431
Melissa Izabel Hannas Brazil 10 248 0.9× 81 0.5× 66 0.8× 34 0.5× 36 1.0× 41 286
E.A. Saleh United States 12 477 1.8× 193 1.3× 70 0.8× 131 1.9× 26 0.7× 21 551
G.P. Widyaratne Canada 6 277 1.1× 83 0.5× 37 0.4× 63 0.9× 43 1.2× 10 367
K.D. Roberson United States 13 399 1.5× 147 1.0× 61 0.7× 69 1.0× 11 0.3× 27 449

Countries citing papers authored by J. A. Jendza

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Jendza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Jendza

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Jendza. A scholar is included among the top collaborators of J. A. Jendza 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 J. A. Jendza. J. A. Jendza 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.
2.
Gong, Joshua, et al.. (2024). 500 Effect of different iron sources on growth performance, gut health, and microbiota in nursery pigs. Journal of Animal Science. 102(Supplement_3). 141–141.
3.
Olson, Elena G., et al.. (2022). Application of microbial analyses to feeds and potential implications for poultry nutrition. Poultry Science. 101(5). 101789–101789. 8 indexed citations
4.
McOrist, S., Peter C. Scott, J. A. Jendza, et al.. (2022). Analysis of acidified feed components containing African swine fever virus. Research in Veterinary Science. 152. 248–260. 2 indexed citations
5.
Feye, Kristina M., Dana K. Dittoe, J. A. Jendza, et al.. (2021). A comparison of formic acid or monoglycerides to formaldehyde on production efficiency, nutrient absorption, and meat yield and quality of Cobb 700 broilers. Poultry Science. 100(12). 101476–101476. 7 indexed citations
6.
Babatunde, O.O., J. A. Jendza, Peter Ader, et al.. (2020). Response of broiler chickens in the starter and finisher phases to 3 sources of microbial phytase. Poultry Science. 99(8). 3997–4008. 20 indexed citations
7.
Abdollahi, M.R., et al.. (2020). Feed acidification and steam-conditioning temperature influence nutrient utilization in broiler chickens fed wheat-based diets. Poultry Science. 99(10). 5037–5046. 12 indexed citations
8.
Adhikari, Pratima, Sudhir Yadav, D.E. Cosby, et al.. (2020). Research Note: Effect of organic acid mixture on growth performance and Salmonella Typhimurium colonization in broiler chickens. Poultry Science. 99(5). 2645–2649. 38 indexed citations
9.
10.
Yang, Xiaojian, et al.. (2017). Effects of different levels of feed intake during four short periods of gestation and housing systems on sows and litter performance. Animal Reproduction Science. 188. 21–34. 8 indexed citations
11.
Jendza, J. A., et al.. (2017). Effect of replacing conventional soybean meal with low oligosaccharide soybean meal fed to weanling piglets. Journal of Animal Science. 95(1). 320–320. 4 indexed citations
12.
Jendza, J. A., et al.. (2016). Effect of replacing conventional soybean meal with low oligosaccharide soybean meal fed to weanling piglets1. Journal of Animal Science. 95(1). 320–326. 6 indexed citations
13.
Jendza, J. A., et al.. (2016). 248 Sodium buffered formic acid improves sow and piglet performance when fed during lactation and the nursery periods. Journal of Animal Science. 94(suppl_2). 117–117. 2 indexed citations
14.
Chandler, T.L., et al.. (2016). Conjugated linoleic acid supplementation during the transition period increased milk production in primiparous and multiparous dairy cows. Animal Feed Science and Technology. 224. 90–103. 9 indexed citations
15.
Jendza, J. A., et al.. (2013). Liquid feeding of ethanol industry co-products on growth performance of wean to finish pigs. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
16.
Jendza, J. A., Pierre‐André Geraert, Darryl Ragland, & O. Adeola. (2011). The site of intestinal disappearance of DDLmethionine and methionine hydroxy analog differs in pigs1. Journal of Animal Science. 89(5). 1385–1391. 9 indexed citations
17.
Adeola, O., J. A. Jendza, L. L. Southern, S. Powell, & A. Owusu-Asiedu. (2010). Contribution of exogenous dietary carbohydrases to the metabolizable energy value of corn distillers grains for broiler chickens. Poultry Science. 89(9). 1947–1954. 33 indexed citations
18.
Jendza, J. A. & O. Adeola. (2009). Water‐soluble phosphorus excretion in pigs fed diets supplemented with microbial phytase. Animal Science Journal. 80(3). 296–304. 15 indexed citations
19.
Jendza, J. A., Ryan N. Dilger, J. S. Sands, & O. Adeola. (2006). Efficacy and equivalency of an Escherichia coli-derived phytase for replacing inorganic phosphorus in the diets of broiler chickens and young pigs1. Journal of Animal Science. 84(12). 3364–3374. 63 indexed citations
20.
Jendza, J. A., Ryan N. Dilger, S.A. Adedokun, J. S. Sands, & O. Adeola. (2005). Escherichia coli phytase improves growth performance of starter, grower, and finisher pigs fed phosphorus-deficient diets1. Journal of Animal Science. 83(8). 1882–1889. 46 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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