Tzach Glasser

818 total citations
30 papers, 671 citations indexed

About

Tzach Glasser is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Tzach Glasser has authored 30 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Agronomy and Crop Science, 10 papers in Genetics and 7 papers in Animal Science and Zoology. Recurrent topics in Tzach Glasser's work include Ruminant Nutrition and Digestive Physiology (16 papers), Genetic and phenotypic traits in livestock (7 papers) and Nuts composition and effects (4 papers). Tzach Glasser is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (16 papers), Genetic and phenotypic traits in livestock (7 papers) and Nuts composition and effects (4 papers). Tzach Glasser collaborates with scholars based in Israel, United States and Poland. Tzach Glasser's co-authors include S. Landau, L. Dvash, H. Muklada, Avi Perevolotsky, Eugene D. Ungar, John W. Walker, Moshe Inbar, Nurit Argov-Argaman, D. Kababya and Alex Markovics and has published in prestigious journals such as Scientific Reports, Food Chemistry and Journal of Animal Science.

In The Last Decade

Tzach Glasser

29 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tzach Glasser Israel 15 256 164 156 149 125 30 671
R. Rubino Italy 16 291 1.1× 208 1.3× 123 0.8× 293 2.0× 128 1.0× 38 862
Ana Helena Dias Francesconi Italy 12 312 1.2× 198 1.2× 128 0.8× 262 1.8× 55 0.4× 29 809
A. Orlov Israel 16 311 1.2× 160 1.0× 110 0.7× 276 1.9× 95 0.8× 19 676
Sophie Prache France 16 454 1.8× 242 1.5× 201 1.3× 430 2.9× 87 0.7× 37 931
Pedro González Redondo Spain 15 123 0.5× 121 0.7× 128 0.8× 331 2.2× 65 0.5× 80 601
M. Blanco Spain 19 435 1.7× 254 1.5× 68 0.4× 637 4.3× 85 0.7× 80 1.0k
V.J. Theobald United Kingdom 13 302 1.2× 103 0.6× 87 0.6× 146 1.0× 41 0.3× 25 498
Mauro Sartori Bueno Brazil 15 335 1.3× 143 0.9× 75 0.5× 263 1.8× 107 0.9× 51 591
D. Kababya Israel 9 259 1.0× 109 0.7× 68 0.4× 84 0.6× 46 0.4× 11 393
J. D. Popp Canada 13 609 2.4× 137 0.8× 70 0.4× 146 1.0× 79 0.6× 19 833

Countries citing papers authored by Tzach Glasser

Since Specialization
Citations

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

Fields of papers citing papers by Tzach Glasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzach Glasser

This figure shows the co-authorship network connecting the top 25 collaborators of Tzach Glasser. A scholar is included among the top collaborators of Tzach Glasser 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 Tzach Glasser. Tzach Glasser 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.
Landau, S., Tzach Glasser, Maya Zachut, et al.. (2023). Milking performance and plant specialized metabolites in the milk of goats fed silage from willow (Salix acmophylla) irrigated with saline water. Livestock Science. 270. 105205–105205. 4 indexed citations
3.
Landau, S., Hassan Azaizeh, H. Muklada, et al.. (2022). Entourage effect for phenolic compounds on production and metabolism of mammary epithelial cells. Heliyon. 8(3). e09025–e09025. 10 indexed citations
4.
Landau, S., et al.. (2021). Direct effects of phenolic compounds on the mammary gland: In vivo and ex vivo evidence. Food Chemistry Molecular Sciences. 3. 100034–100034. 7 indexed citations
5.
Argov-Argaman, Nurit, et al.. (2020). Lipidome changes, with a focus on phospholipids, due to feeding systems and processing in goat milk. Food Chemistry. 340. 127938–127938. 19 indexed citations
6.
Muklada, H., Hillary Voet, Maya Zachut, et al.. (2020). The effect of willow fodder feeding on immune cell populations in the blood and milk of late-lactating dairy goats. animal. 14(12). 2511–2522. 15 indexed citations
7.
Landau, S., et al.. (2020). Producing pasture-like milk from goats in confinement. Livestock Science. 236. 104056–104056. 7 indexed citations
8.
Glasser, Tzach, et al.. (2019). Innate ability of goats to sense and avoid ingestion of noxious insects while feeding. Royal Society Open Science. 6(2). 181078–181078. 8 indexed citations
9.
Kigel, Jaime, et al.. (2019). Volatiles and Tannins in Pistacia lentiscus and Their Role in Browsing Behavior of Goats (Capra hircus). Journal of Chemical Ecology. 46(1). 99–113. 8 indexed citations
10.
Glasser, Tzach, et al.. (2017). How goats avoid ingesting noxious insects while feeding. Scientific Reports. 7(1). 14835–14835. 13 indexed citations
11.
Argov-Argaman, Nurit, Tzach Glasser, H. Muklada, et al.. (2015). Milk fat globule size, phospholipid contents and composition of milk from purebred and Alpine-crossbred Mid-Eastern goats under confinement or grazing condition. International Dairy Journal. 58. 2–8. 25 indexed citations
12.
Cohen, I., et al.. (2013). Self-medication with tannin-rich browse in goats infected with gastro-intestinal nematodes. Veterinary Parasitology. 198(3-4). 305–311. 29 indexed citations
13.
Markovics, Alex, I. Cohen, H. Muklada, et al.. (2011). Consumption of Pistacia lentiscus foliage alleviates coccidiosis in young goats. Veterinary Parasitology. 186(3-4). 165–169. 29 indexed citations
14.
Landau, S., Hassan Azaizeh, H. Muklada, et al.. (2010). Anthelmintic activity of Pistacia lentiscus foliage in two Middle Eastern breeds of goats differing in their propensity to consume tannin-rich browse. Veterinary Parasitology. 173(3-4). 280–286. 51 indexed citations
15.
Inbar, Moshe, Ido Izhaki, Nissim Silanikove, et al.. (2009). Why do many galls have conspicuous colors? A new hypothesis. Arthropod-Plant Interactions. 4(1). 1–6. 63 indexed citations
16.
Glasser, Tzach, Eugene D. Ungar, S. Landau, et al.. (2009). Breed and maternal effects on the intake of tannin-rich browse by juvenile domestic goats (Capra hircus). Applied Animal Behaviour Science. 119(1-2). 71–77. 44 indexed citations
17.
Obeidat, Safwan M., et al.. (2008). A Multi-Source Portable Light Emitting Diode Spectrofluorometer. Applied Spectroscopy. 62(3). 327–332. 11 indexed citations
18.
Glasser, Tzach, S. Landau, Eugene D. Ungar, et al.. (2008). A fecal near-infrared reflectance spectroscopy-aided methodology to determine goat dietary composition in a Mediterranean shrubland1. Journal of Animal Science. 86(6). 1345–1356. 42 indexed citations
19.
Landau, S., Tzach Glasser, & L. Dvash. (2005). Monitoring nutrition in small ruminants with the aid of near infrared reflectance spectroscopy (NIRS) technology: A review. Small Ruminant Research. 61(1). 1–11. 95 indexed citations
20.
Landau, S., Tzach Glasser, L. Dvash, & Avi Perevolotsky. (2004). Faecal NIRS to monitor the diet of Mediterranean goats. South African Journal of Animal Science. 34(5). 76–80. 39 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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