Samer W. El‐Kadi

1.0k total citations
43 papers, 767 citations indexed

About

Samer W. El‐Kadi is a scholar working on Cell Biology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Samer W. El‐Kadi has authored 43 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cell Biology, 14 papers in Molecular Biology and 13 papers in Animal Science and Zoology. Recurrent topics in Samer W. El‐Kadi's work include Muscle metabolism and nutrition (20 papers), Muscle Physiology and Disorders (9 papers) and Adipose Tissue and Metabolism (9 papers). Samer W. El‐Kadi is often cited by papers focused on Muscle metabolism and nutrition (20 papers), Muscle Physiology and Disorders (9 papers) and Adipose Tissue and Metabolism (9 papers). Samer W. El‐Kadi collaborates with scholars based in United States, United Kingdom and Belgium. Samer W. El‐Kadi's co-authors include Teresa A. Davis, Hanh V. Nguyen, Agus Suryawan, Renán A. Orellana, Nishanth E. Sunny, B.J. Bequette, María C. Gazzaneo, Marta L. Fiorotto, Roberto Murgas Torrazza and R.L. Baldwin and has published in prestigious journals such as American Journal of Clinical Nutrition, The FASEB Journal and Journal of Applied Physiology.

In The Last Decade

Samer W. El‐Kadi

42 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samer W. El‐Kadi United States 15 277 276 242 187 146 43 767
M. Carole Thivierge Canada 15 242 0.9× 222 0.8× 162 0.7× 110 0.6× 201 1.4× 31 926
Jason W. Frank United States 14 292 1.1× 456 1.7× 403 1.7× 230 1.2× 110 0.8× 21 924
Rodrigo Manjarín United States 13 85 0.3× 66 0.2× 170 0.7× 104 0.6× 76 0.5× 55 548
Satoshi Haga Japan 16 87 0.3× 54 0.2× 210 0.9× 106 0.6× 94 0.6× 55 685
Alexmary Connell United Kingdom 13 141 0.5× 319 1.2× 71 0.3× 327 1.7× 77 0.5× 20 818
P. M. Nissen Denmark 11 174 0.6× 97 0.4× 160 0.7× 210 1.1× 42 0.3× 15 549
I. Fiedler Germany 15 223 0.8× 170 0.6× 406 1.7× 666 3.6× 82 0.6× 21 1.1k
Hai-Jun Xu China 3 162 0.6× 75 0.3× 142 0.6× 173 0.9× 59 0.4× 7 448
Masaya KATSUMATA Japan 13 204 0.7× 83 0.3× 165 0.7× 256 1.4× 45 0.3× 53 595
T. G. Ramsay United States 20 386 1.4× 43 0.2× 275 1.1× 223 1.2× 230 1.6× 51 973

Countries citing papers authored by Samer W. El‐Kadi

Since Specialization
Citations

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

Fields of papers citing papers by Samer W. El‐Kadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samer W. El‐Kadi. 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 Samer W. El‐Kadi. The network helps show where Samer W. El‐Kadi may publish in the future.

Co-authorship network of co-authors of Samer W. El‐Kadi

This figure shows the co-authorship network connecting the top 25 collaborators of Samer W. El‐Kadi. A scholar is included among the top collaborators of Samer W. El‐Kadi 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 Samer W. El‐Kadi. Samer W. El‐Kadi 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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Dang, David, Kara J Thornton, Stephan van Vliet, et al.. (2024). Inhibition of pyruvate dehydrogenase accelerates anaerobic glycolysis under postmortem simulating conditions. Meat Science. 213. 109510–109510. 5 indexed citations
4.
Sunny, Nishanth E., et al.. (2023). Feeding medium-chain fatty acid-rich formula causes liver steatosis and alters hepatic metabolism in neonatal pigs. American Journal of Physiology-Gastrointestinal and Liver Physiology. 325(2). G135–G146. 4 indexed citations
5.
Garvey, Sean M., Nima K. Emami, Nammalwar Sriranganathan, et al.. (2023). The Probiotic Bacillus subtilis MB40 Improves Immunity in a Porcine Model of Listeriosis. Microorganisms. 11(8). 2110–2110. 4 indexed citations
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Negrón‐Pérez, Verónica M., R.R. White, Samer W. El‐Kadi, et al.. (2022). Comparison of production-related responses to hyperinsulinemia and hypoglycemia induced by clamp procedures or heat stress of lactating dairy cattle. Journal of Dairy Science. 105(10). 8439–8453. 7 indexed citations
8.
Matarneh, Sulaiman K., Jennifer Elgin, Samer W. El‐Kadi, et al.. (2022). Reduced scald time does not influence ultimate pork quality. Meat Science. 194. 108958–108958. 2 indexed citations
9.
Elgin, Jennifer, et al.. (2021). Inherent factors influence color variations in semimembranosus muscle of pigs. Meat Science. 185. 108721–108721. 7 indexed citations
10.
Matarneh, Sulaiman K., et al.. (2020). Mitochondria influence glycolytic and tricarboxylic acid cycle metabolism under postmortem simulating conditions. Meat Science. 172. 108316–108316. 24 indexed citations
11.
El‐Kadi, Samer W., et al.. (2019). Lipid Intake Enhances Muscle Growth But Does Not Influence Glucose Kinetics in 3-Week-Old Low-Birth-Weight Neonatal Pigs. Journal of Nutrition. 149(6). 933–941. 4 indexed citations
12.
El‐Kadi, Samer W., Claire Boutry, Agus Suryawan, et al.. (2018). Intermittent bolus feeding promotes greater lean growth than continuous feeding in a neonatal piglet model. American Journal of Clinical Nutrition. 108(4). 830–841. 20 indexed citations
13.
Boutry, Claire, Samer W. El‐Kadi, Agus Suryawan, et al.. (2013). Leucine pulses enhance skeletal muscle protein synthesis during continuous feeding in neonatal pigs. American Journal of Physiology-Endocrinology and Metabolism. 305(5). E620–E631. 46 indexed citations
14.
Gazzaneo, María C., Agus Suryawan, Renán A. Orellana, et al.. (2011). Intermittent Bolus Feeding Has a Greater Stimulatory Effect on Protein Synthesis in Skeletal Muscle Than Continuous Feeding in Neonatal Pigs. Journal of Nutrition. 141(12). 2152–2158. 56 indexed citations
15.
Bequette, B.J., Samer W. El‐Kadi, Nishanth E. Sunny, & G. M. Crovetto. (2010). Intermediary metabolism and neogenesis of nutrients in farm animals.. 99–109. 1 indexed citations
16.
Torrazza, Roberto Murgas, Agus Suryawan, María C. Gazzaneo, et al.. (2010). Leucine Supplementation of a Low-Protein Meal Increases Skeletal Muscle and Visceral Tissue Protein Synthesis in Neonatal Pigs by Stimulating mTOR-Dependent Translation Initiation ,. Journal of Nutrition. 140(12). 2145–2152. 106 indexed citations
17.
El‐Kadi, Samer W., R.L. Baldwin, K. R. McLeod, Nishanth E. Sunny, & B.J. Bequette. (2009). Glutamate Is the Major Anaplerotic Substrate in the Tricarboxylic Acid Cycle of Isolated Rumen Epithelial and Duodenal Mucosal Cells from Beef Cattle. Journal of Nutrition. 139(5). 869–875. 26 indexed citations
18.
El‐Kadi, Samer W., K. R. McLeod, N. A. Elam, et al.. (2008). Nutrient net absorption across the portal-drained viscera of forage-fed beef steers: Quantitative assessment and application to a nutritional prediction model1. Journal of Animal Science. 86(9). 2277–2287. 3 indexed citations
19.
El‐Kadi, Samer W., et al.. (2006). Intestinal Protein Supply Alters Amino Acid, but Not Glucose, Metabolism by the Sheep Gastrointestinal Tract. Journal of Nutrition. 136(5). 1261–1269. 48 indexed citations
20.
Bequette, B.J., et al.. (2006). Application of stable isotopes and mass isotopomer distribution analysis to the study of intermediary metabolism of nutrients1. Journal of Animal Science. 84(suppl_13). E50–E59. 55 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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