Fardos A.M. Hassan

467 total citations
26 papers, 323 citations indexed

About

Fardos A.M. Hassan is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Aquatic Science. According to data from OpenAlex, Fardos A.M. Hassan has authored 26 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Animal Science and Zoology, 5 papers in Agronomy and Crop Science and 4 papers in Aquatic Science. Recurrent topics in Fardos A.M. Hassan's work include Animal Nutrition and Physiology (16 papers), Rabbits: Nutrition, Reproduction, Health (7 papers) and Aquaculture Nutrition and Growth (4 papers). Fardos A.M. Hassan is often cited by papers focused on Animal Nutrition and Physiology (16 papers), Rabbits: Nutrition, Reproduction, Health (7 papers) and Aquaculture Nutrition and Growth (4 papers). Fardos A.M. Hassan collaborates with scholars based in Egypt, Saudi Arabia and Fiji. Fardos A.M. Hassan's co-authors include Elshimaa M. Roushdy, Asmaa T. Y. Kishawy, Asmaa W. Zaglool, Ashraf Awad, Iman E. El-Araby, Haiam A. Mohammed, Rania Mahmoud, Yasmine H. Tartor, Islam M. Saadeldin and Tamer Ahmed Ismail and has published in prestigious journals such as Aquaculture, Environmental Science and Pollution Research and Journal of Applied Microbiology.

In The Last Decade

Fardos A.M. Hassan

23 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fardos A.M. Hassan Egypt 11 161 83 71 46 39 26 323
Elshimaa M. Roushdy Egypt 13 266 1.7× 79 1.0× 94 1.3× 56 1.2× 45 1.2× 26 467
Ali Ali El‐Raghi Egypt 10 138 0.9× 108 1.3× 53 0.7× 51 1.1× 54 1.4× 39 317
Roger R. Gebert Brazil 8 227 1.4× 99 1.2× 35 0.5× 54 1.2× 27 0.7× 14 340
Matheus Ramalho de Lima Brazil 11 216 1.3× 62 0.7× 85 1.2× 30 0.7× 18 0.5× 52 341
Maryam Royan Iran 9 170 1.1× 88 1.1× 34 0.5× 42 0.9× 28 0.7× 24 356
José Jordão Filho Brazil 13 319 2.0× 96 1.2× 128 1.8× 29 0.6× 24 0.6× 52 443
A.B. Mandal India 8 209 1.3× 103 1.2× 26 0.4× 42 0.9× 18 0.5× 78 315
Alexandra Wealleans United Kingdom 14 312 1.9× 97 1.2× 56 0.8× 42 0.9× 20 0.5× 34 441
M. E. Babar Pakistan 10 324 2.0× 119 1.4× 77 1.1× 27 0.6× 17 0.4× 26 495
Adriana Barri United States 10 346 2.1× 42 0.5× 62 0.9× 37 0.8× 40 1.0× 13 438

Countries citing papers authored by Fardos A.M. Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Fardos A.M. Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fardos A.M. Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Fardos A.M. Hassan. A scholar is included among the top collaborators of Fardos A.M. Hassan 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 Fardos A.M. Hassan. Fardos A.M. Hassan 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.
Hassan, Fardos A.M., et al.. (2024). The usage of the autoregressive integrated moving average (ARIMA) model for forecasting milk production in Egypt (2022-2025). Open Veterinary Journal. 14((1) (Zagazig Veterinary Confer). 256–256. 1 indexed citations
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Kishawy, Asmaa T. Y., Doaa Ibrahim, Elshimaa M. Roushdy, et al.. (2023). Impact of resveratrol-loaded liposomal nanocarriers on heat-stressed broiler chickens: Effects on performance, sirtuin expression, oxidative stress regulators, and muscle building factors. Frontiers in Veterinary Science. 10. 1137896–1137896. 13 indexed citations
4.
Hassan, Fardos A.M., et al.. (2022). Comparison of machine learning models for bluetongue risk prediction: a seroprevalence study on small ruminants. BMC Veterinary Research. 18(1). 394–394. 10 indexed citations
5.
Hassan, Fardos A.M., et al.. (2021). Comparison of performance, meat quality, and profitability of Cobb, Hubbard, and Ross broiler strains. Archiv für Geflügelkunde. 85. 1–13. 2 indexed citations
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Hassan, Fardos A.M., Asmaa T. Y. Kishawy, Amira Moustafa, & Elshimaa M. Roushdy. (2021). Growth performance, tissue precipitation, metallothionein and cytokine transcript expression and economics in response to different dietary zinc sources in growing rabbits. Journal of Animal Physiology and Animal Nutrition. 105(5). 965–974. 3 indexed citations
8.
Hassan, Fardos A.M.. (2021). DATA ENVELOPMENT ANALYSIS (DEA) APPROACH FOR ASSESSING TECHNICAL, ECONOMIC AND SCALE EFFICIENCY OF BROILER FARMS. IRAQI JOURNAL OF AGRICULTURAL SCIENCES. 52(2). 291–300. 2 indexed citations
9.
Hassan, Fardos A.M., et al.. (2021). Seasonal Impact on Growth Performance, Economic Feasibility, Hematological Indices, and Blood Biochemical Composition of Broiler Chickens. Journal of Animal Health and Production. 9(4). 1 indexed citations
10.
Roushdy, Elshimaa M., Asmaa W. Zaglool, & Fardos A.M. Hassan. (2020). Thermal stress consequences on growth performance, immunological response, antioxidant status, and profitability of finishing broilers: transcriptomic profile change of stress-related genes. Tropical Animal Health and Production. 52(6). 3685–3696. 17 indexed citations
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Hassan, Fardos A.M., et al.. (2020). Impact of Stocking Density on Growth Performance, Carcass Traits, and Economic Feasibility of Growing Rabbits. Journal of Animal Health and Production. 9(s1).
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Hassan, Fardos A.M., et al.. (2019). Economic Assessment of Various Levels of Protein and Energy in Pigeon Squabs Diet. Zagazig Veterinary Journal/Zagazig Veterinary Journal (Online). 45(1). 20–30. 2 indexed citations
15.
Hassan, Fardos A.M., et al.. (2018). GROWTH PERFORMANCE, CARCASS TRAITS AND ECONOMIC VALUES OF PEKIN, MUSCOVY, AND MULARD DUCKS. Slovenian Veterinary Research. 55(20-Suppl). 357–65. 11 indexed citations
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Hassan, Fardos A.M., et al.. (2018). Economic Assessment Of Various Levels Of Protein And Energy In Pigeon Squabs Diet. Zenodo (CERN European Organization for Nuclear Research).
18.
Hassan, Fardos A.M., Mohamed A. Ali, & Mahmoud S. El‐Tarabany. (2017). Economic impacts of calving season and parity on reproduction and production traits of buffaloes in the sub-tropics. Environmental Science and Pollution Research. 24(11). 10258–10266. 19 indexed citations
19.
Hassan, Fardos A.M. & Ashraf Awad. (2017). Impact of thyme powder (Thymus vulgaris L.) supplementation on gene expression profiles of cytokines and economic efficiency of broiler diets. Environmental Science and Pollution Research. 24(18). 15816–15826. 39 indexed citations
20.
Tartor, Yasmine H. & Fardos A.M. Hassan. (2017). Assessment of carvacrol for control of avian aspergillosis in intratracheally challenged chickens in comparison to voriconazole with a reference on economic impact. Journal of Applied Microbiology. 123(5). 1088–1099. 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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