M. Behgar

496 total citations
23 papers, 408 citations indexed

About

M. Behgar is a scholar working on Agronomy and Crop Science, Plant Science and Animal Science and Zoology. According to data from OpenAlex, M. Behgar has authored 23 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 8 papers in Plant Science and 5 papers in Animal Science and Zoology. Recurrent topics in M. Behgar's work include Ruminant Nutrition and Digestive Physiology (9 papers), Genetic and phenotypic traits in livestock (5 papers) and Radiation Effects and Dosimetry (4 papers). M. Behgar is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (9 papers), Genetic and phenotypic traits in livestock (5 papers) and Radiation Effects and Dosimetry (4 papers). M. Behgar collaborates with scholars based in Iran, Austria and Spain. M. Behgar's co-authors include Abbas Ali Naserian, Marzieh Heidarieh, Mohammad Ghannadi Maragheh, Zahra Akbari, Řeža Valizadeh, P. Shawrang, Ali Asghar Sadeghi, Somayyeh Salari, Saeed Ghasemi and Alireza Vakili and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Radiation Biology.

In The Last Decade

M. Behgar

22 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Behgar Iran 10 106 94 92 86 67 23 408
Edyta Kowalczuk-Vasilev Poland 13 133 1.3× 51 0.5× 59 0.6× 74 0.9× 20 0.3× 58 505
Muneendra Kumar India 13 113 1.1× 95 1.0× 70 0.8× 207 2.4× 22 0.3× 76 558
Aly B. Okab Saudi Arabia 12 128 1.2× 94 1.0× 34 0.4× 60 0.7× 117 1.7× 34 540
Renata Klebaniuk Poland 15 235 2.2× 85 0.9× 95 1.0× 122 1.4× 18 0.3× 60 656
Chang Ho Chung United States 12 105 1.0× 96 1.0× 88 1.0× 97 1.1× 15 0.2× 18 468
Manuel Amaro Spain 10 165 1.6× 61 0.6× 129 1.4× 19 0.2× 22 0.3× 14 367
Sâmara Alvachian Cardoso Andrade Brazil 12 157 1.5× 244 2.6× 185 2.0× 17 0.2× 121 1.8× 57 655
C. Cavallucci Italy 9 45 0.4× 100 1.1× 53 0.6× 60 0.7× 9 0.1× 14 383
Mengmeng Li China 12 47 0.4× 60 0.6× 24 0.3× 140 1.6× 20 0.3× 33 385
Mohamed F. Abo El‐Maati Egypt 11 306 2.9× 108 1.1× 56 0.6× 22 0.3× 26 0.4× 16 512

Countries citing papers authored by M. Behgar

Since Specialization
Citations

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

Fields of papers citing papers by M. Behgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Behgar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Behgar. A scholar is included among the top collaborators of M. Behgar 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 M. Behgar. M. Behgar 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.
Wijewardana, Viskam, et al.. (2022). Improved Whole Gamma Irradiated Avian Influenza Subtype H9N2 Virus Vaccine Using Trehalose and Optimization of Vaccination Regime on Broiler Chicken. Frontiers in Veterinary Science. 9. 907369–907369. 2 indexed citations
2.
Norouzian, M. A., et al.. (2022). Evaluating the role of gamma irradiation to ameliorate salt stress in corn. International Journal of Radiation Biology. 99(3). 523–533. 1 indexed citations
4.
Behgar, M., et al.. (2020). Effect of electron irradiation on some physical, chemical and digestion properties of pistachio by-products. Radiation Physics and Chemistry. 174. 108921–108921. 7 indexed citations
5.
Rezaei, Mansour, et al.. (2019). Effects of gamma and electron radiation on chemical composition and some phyto-chemical properties of whole flaxseed. Journal of Radioanalytical and Nuclear Chemistry. 321(3). 1019–1025. 8 indexed citations
6.
Rezaei, Mansour, et al.. (2017). Effects of Irradiated Flaxseed on Performance, Carcass Characteristics, Blood Parameters, and Nutrient Digestibility in Broiler Chickens. SHILAP Revista de lepidopterología. 10 indexed citations
7.
Salari, Somayyeh, et al.. (2017). Effect of radiation on chemical composition and protein quality of cottonseed meal. Animal Science Journal. 88(9). 1425–1435. 23 indexed citations
8.
Moradi, Masoud, et al.. (2015). Effects of electron beam, NaOH and urea on chemical composition, phenolic compounds, in situ ruminal degradability and in vitro gas production kinetics of pistachio by-products.. PubMed. 6(2). 111–7. 5 indexed citations
9.
Salari, Somayyeh, et al.. (2015). Nutritional Value of electron beam irradiated cottonseed meal in broiler chickens. Journal of Animal Physiology and Animal Nutrition. 100(4). 643–648. 9 indexed citations
10.
Salari, Somayyeh, et al.. (2014). Treatment by gamma or electron radiation decreases cell wall and gossypol content of cottonseed meal. Radiation Physics and Chemistry. 99. 23–25. 14 indexed citations
11.
Heidarieh, Marzieh, et al.. (2013). Evaluate of heavy metal concentration in shrimp (Penaeus semisulcatus) and crab (Portunus pelagicus) with INAA method. SpringerPlus. 2(1). 72–72. 77 indexed citations
12.
Heidarieh, Marzieh, Alireza Mirvaghefi, Hamid Farahmand, et al.. (2012). Effect of dietary Ergosan on growth performance, digestive enzymes, intestinal histology, hematological parameters and body composition of rainbow trout (Oncorhynchus mykiss). Fish Physiology and Biochemistry. 38(4). 1169–1174. 56 indexed citations
13.
Naserian, Abbas Ali, et al.. (2012). Effects of pistachio by-product in replacement of lucerne hay on microbial protein synthesis and fermentative parameters in the rumen of sheep. Animal Production Science. 52(11). 1052–1057. 22 indexed citations
15.
Behgar, M., et al.. (2011). Gamma radiation effects on phenolics, antioxidants activity and in vitro digestion of pistachio (Pistachia vera) hull. Radiation Physics and Chemistry. 80(9). 963–967. 50 indexed citations
16.
Behgar, M., et al.. (2011). The Impact of Alfalfa Hay Particle Size on the Utilization of Soy Hull by Early Lactating Dairy Cows. Livestock Science. 142(1-3). 147–154. 4 indexed citations
17.
Naserian, Abbas Ali, et al.. (2011). Inclusion of pistachio hulls as a replacement for alfalfa hay in the diet of sheep causes a shift in the rumen cellulolytic bacterial population. Small Ruminant Research. 104(1-3). 94–98. 23 indexed citations
18.
Valizadeh, Řeža, et al.. (2010). The Effect of Physically Effective Fiber and Soy Hull on the Ruminal Cellulolytic Bacteria Population and Milk Production of Dairy Cows. Asian-Australasian Journal of Animal Sciences. 23(10). 1325–1332. 9 indexed citations
19.
Behgar, M., et al.. (2009). Correlation Between the Physical and Chemical Properties of Some Forages and Non-Forage Fiber Sources. Journal of Animal and Veterinary Advances. 8(11). 2280–2285. 15 indexed citations
20.
Behgar, M., et al.. (2004). Chemical composition of wilted and unwilted lucerne silage treated with formic and sulphuric acids. Proceedings of the British Society of Animal Science. 2004. 173–173.

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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