U. Moallem

3.6k total citations
90 papers, 2.7k citations indexed

About

U. Moallem is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, U. Moallem has authored 90 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Agronomy and Crop Science, 40 papers in Genetics and 26 papers in Animal Science and Zoology. Recurrent topics in U. Moallem's work include Reproductive Physiology in Livestock (61 papers), Ruminant Nutrition and Digestive Physiology (42 papers) and Genetic and phenotypic traits in livestock (39 papers). U. Moallem is often cited by papers focused on Reproductive Physiology in Livestock (61 papers), Ruminant Nutrition and Digestive Physiology (42 papers) and Genetic and phenotypic traits in livestock (39 papers). U. Moallem collaborates with scholars based in Israel, United States and Bulgaria. U. Moallem's co-authors include Maya Zachut, H. Lehrer, D. Sklan, A. Arieli, L. Livshitz, Y. Folman, Hen Honig, Avi Shamay, M. Kaim and I. Halachmi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

U. Moallem

88 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Moallem Israel 30 1.9k 905 708 573 398 90 2.7k
Maya Zachut Israel 24 1.0k 0.5× 418 0.5× 491 0.7× 349 0.6× 235 0.6× 64 1.6k
Thomas H. Herdt United States 28 2.3k 1.2× 1.1k 1.2× 670 0.9× 590 1.0× 565 1.4× 65 3.2k
Giuseppe Bertoni Italy 29 2.4k 1.3× 771 0.9× 1.1k 1.5× 279 0.5× 919 2.3× 80 3.2k
M.L. McGilliard United States 36 2.3k 1.2× 1.7k 1.9× 1.1k 1.5× 229 0.4× 631 1.6× 113 3.4k
H.G. Bateman United States 31 1.8k 1.0× 498 0.6× 773 1.1× 418 0.7× 1.0k 2.5× 78 2.5k
M.J. VandeHaar United States 37 2.7k 1.5× 1.8k 2.0× 1.1k 1.6× 352 0.6× 773 1.9× 115 3.9k
L.E. Armentano United States 42 4.0k 2.1× 2.4k 2.6× 1.1k 1.6× 394 0.7× 519 1.3× 102 4.8k
K. Sejrsen Denmark 32 1.9k 1.0× 1.3k 1.4× 931 1.3× 379 0.7× 387 1.0× 72 3.0k
Niels Bastian Kristensen Denmark 39 3.0k 1.6× 1.1k 1.3× 960 1.4× 322 0.6× 664 1.7× 126 4.3k
H.M. Dann United States 25 2.0k 1.1× 1.2k 1.3× 619 0.9× 243 0.4× 417 1.0× 55 2.7k

Countries citing papers authored by U. Moallem

Since Specialization
Citations

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

Fields of papers citing papers by U. Moallem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Moallem

This figure shows the co-authorship network connecting the top 25 collaborators of U. Moallem. A scholar is included among the top collaborators of U. Moallem 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 U. Moallem. U. Moallem 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.
Moallem, U., et al.. (2023). The form more than the fatty acid profile of fat supplements influences digestibility but not necessarily the production performance of dairy cows. Journal of Dairy Science. 106(4). 2395–2407. 6 indexed citations
2.
Daddam, Jayasimha Rayalu, et al.. (2023). Plant polyphenol extract supplementation affects performance, welfare, and the Nrf2-oxidative stress response in adipose tissue of heat-stressed dairy cows. Journal of Dairy Science. 106(12). 9807–9821. 12 indexed citations
3.
Domingues, Rafael R., et al.. (2022). Is pregnancy loss initiated by embryonic death or luteal regression? Profiles of pregnancy-associated glycoproteins during elevated progesterone and pregnancy loss. SHILAP Revista de lepidopterología. 4(2). 149–154. 18 indexed citations
4.
Mopuri, Ramgopal, Alexander Rosov, Sara Yosefi, et al.. (2021). High-dose vitamin B1 therapy prevents the development of experimental fatty liver driven by overnutrition. Disease Models & Mechanisms. 14(3). 21 indexed citations
5.
Mopuri, Ramgopal, et al.. (2021). Improved Folch Method for Liver-Fat Quantification. Frontiers in Veterinary Science. 7. 594853–594853. 28 indexed citations
6.
7.
Moallem, U.. (2018). Invited review: Roles of dietary n-3 fatty acids in performance, milk fat composition, and reproductive and immune systems in dairy cattle. Journal of Dairy Science. 101(10). 8641–8661. 111 indexed citations
8.
Zachut, Maya & U. Moallem. (2017). Consistent magnitude of postpartum body weight loss within cows across lactations and the relation to reproductive performance. Journal of Dairy Science. 100(4). 3143–3154. 26 indexed citations
9.
Zachut, Maya, Pankaj Sood, Yishai Levin, & U. Moallem. (2016). Proteomic analysis of preovulatory follicular fluid reveals differentially abundant proteins in less fertile dairy cows. Journal of Proteomics. 139. 122–129. 42 indexed citations
10.
Moallem, U.. (2014). Effect of Saccharomyces cerevisiae fermentation product (XP) on energetic efficiency of diet fed to high producing dairy cows during the hot season. 2014 ADSA-ASAS-CSAS Joint Annual Meeting. 1 indexed citations
11.
Shabtay, A., Abraham Haim, Y. Aharoni, et al.. (2014). Time required to determine performance variables and production efficiency of lactating dairy cows. Journal of Dairy Science. 97(7). 4340–4353. 11 indexed citations
12.
Zachut, Maya, Hen Honig, S. Striem, et al.. (2013). Periparturient dairy cows do not exhibit hepatic insulin resistance, yet adipose-specific insulin resistance occurs in cows prone to high weight loss. Journal of Dairy Science. 96(9). 5656–5669. 111 indexed citations
13.
Vyas, D., U. Moallem, B.B. Teter, Ali Reza Fardin‐Kia, & R.A. Erdman. (2013). Milk fat responses to butterfat infusion during conjugated linoleic acid-induced milk fat depression in lactating dairy cows. Journal of Dairy Science. 96(4). 2387–2399. 18 indexed citations
14.
15.
Honig, Hen, et al.. (2012). Performance and welfare of high-yielding dairy cows subjected to 5 or 8 cooling sessions daily under hot and humid climate. Journal of Dairy Science. 95(7). 3736–3742. 52 indexed citations
16.
Argov-Argaman, Nurit, et al.. (2012). Effects of dietary carbohydrates on rumen epithelial metabolism of nonlactating heifers. Journal of Dairy Science. 95(7). 3977–3986. 7 indexed citations
17.
Moallem, U., et al.. (2010). Performance of high-yielding dairy cows supplemented with fat or concentrate under hot and humid climates. Journal of Dairy Science. 93(7). 3192–3202. 80 indexed citations
18.
Moallem, U., et al.. (2008). The effects of live yeast supplementation to dairy cows during the hot season on production, feed efficiency, and digestibility. Journal of Dairy Science. 92(1). 343–351. 146 indexed citations
19.
Piperova, Liliana S., U. Moallem, B.B. Teter, et al.. (2004). Changes in Milk Fat in Response to Dietary Supplementation with Calcium Salts of Trans-18:1 or Conjugated Linoleic Fatty Acids in Lactating Dairy Cows. Journal of Dairy Science. 87(11). 3836–3844. 54 indexed citations
20.
Moallem, U., G.E. Dahl, A.V. Capuco, et al.. (2004). Bovine Somatotropin and Rumen-Undegradable Protein Effects in Prepubertal Dairy Heifers: Effects on Body Composition and Organ and Tissue Weights. Journal of Dairy Science. 87(11). 3869–3880. 15 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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