S. Ibrahim

564 total citations
43 papers, 455 citations indexed

About

S. Ibrahim is a scholar working on Plant Science, Immunology and Molecular Biology. According to data from OpenAlex, S. Ibrahim has authored 43 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in S. Ibrahim's work include T-cell and B-cell Immunology (6 papers), Crop Yield and Soil Fertility (5 papers) and Animal Virus Infections Studies (5 papers). S. Ibrahim is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Crop Yield and Soil Fertility (5 papers) and Animal Virus Infections Studies (5 papers). S. Ibrahim collaborates with scholars based in Egypt, United States and Germany. S. Ibrahim's co-authors include Ali M. Ali, Falko Steinbach, Bijay Sıngh, D.P. Lunn, Julia H. Kydd, Marvin A. Friedman, James Corcoran, Mohamed B. Abou‐Donia, Daniel M. Lapadula and Leon Lack and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Aquaculture.

In The Last Decade

S. Ibrahim

40 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Ibrahim Egypt 12 139 94 80 54 43 43 455
Manoj Kumar Jena India 8 74 0.5× 114 1.2× 19 0.2× 82 1.5× 14 0.3× 49 368
Jyotirmoy Ghosh India 13 158 1.1× 67 0.7× 106 1.3× 83 1.5× 16 0.4× 40 592
Ruyan Zhang China 16 110 0.8× 159 1.7× 19 0.2× 201 3.7× 9 0.2× 89 653
Xiaokang Zhou China 13 298 2.1× 39 0.4× 136 1.7× 286 5.3× 15 0.3× 20 729
Zhenhua Guo China 16 70 0.5× 44 0.5× 61 0.8× 337 6.2× 7 0.2× 76 780
Qinhua Liu China 16 74 0.5× 59 0.6× 200 2.5× 123 2.3× 7 0.2× 45 583
Tsuneo Kondo Japan 16 86 0.6× 83 0.9× 58 0.7× 96 1.8× 57 1.3× 41 538
Sergey E. Sedykh Russia 14 332 2.4× 211 2.2× 30 0.4× 496 9.2× 15 0.3× 56 1.2k

Countries citing papers authored by S. Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by S. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ibrahim. A scholar is included among the top collaborators of S. Ibrahim 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 S. Ibrahim. S. Ibrahim 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.
Al‐Ghamdi, Azza A., S. Ibrahim, Xingmei Lü, et al.. (2025). Biosorbent silver nanoparticles decorated coffee-ground waste composite for cleaning water and antimicrobial applications. Environmental Science and Pollution Research. 32(5). 2280–2297. 7 indexed citations
2.
Osman, M., et al.. (2025). Nanoparticle-based strategies for enhancing faba bean (Vicia faba L.) growth and stress tolerance in saline soils. Biocatalysis and Agricultural Biotechnology. 67. 103630–103630. 2 indexed citations
3.
4.
Spackman, Erica, David L. Suarez, Mary J. Pantin‐Jackwood, et al.. (2023). Efficacy of inactivated and RNA particle vaccines against a North American Clade 2.3.4.4b H5 highly pathogenic avian influenza virus in chickens. Vaccine. 41(49). 7369–7376. 10 indexed citations
5.
Ibrahim, S., et al.. (2023). COMPARATIVE EFFECTS OF NANOPARTICLES (SILVER VS. GRAPHENE) IN DRINKING WATER FOR BROILER CHICKENS. Egyptian Journal of Nutrition and Feeds. 26(2). 1–8. 1 indexed citations
6.
Ibrahim, S., et al.. (2021). Medium-Chain Acyl-COA Dehydrogenase Deficiency. StatPearls. 2 indexed citations
7.
Ibrahim, S., et al.. (2021). Isolation and molecular detection of pigeon pox virus in Assiut and New Valley governorates. Journal of Virological Methods. 293. 114142–114142. 4 indexed citations
8.
Soliman, Hatem, et al.. (2018). In-vitro inhibition of spring viremia of carp virus replication by RNA interference targeting the RNA-dependent RNA polymerase gene. Journal of Virological Methods. 263. 14–19. 11 indexed citations
9.
Mostafa, Ahmed, et al.. (2015). Efficient Generation of Recombinant Influenza A Viruses Employing a New Approach to Overcome the Genetic Instability of HA Segments. PLoS ONE. 10(1). e0116917–e0116917. 19 indexed citations
10.
Ibrahim, S., et al.. (2013). Dry Matter Production and Harvest Index of Groundnut (Arachis hypogaea L.) Varieties Under Irrigation. Journal of Agricultural Science. 5(8). 8 indexed citations
11.
Ibrahim, S. & Falko Steinbach. (2011). Immunoprecipitation of equine CD molecules using anti-human MABs previously analyzed by flow cytometry and immunohistochemistry. Veterinary Immunology and Immunopathology. 145(1-2). 7–13. 12 indexed citations
12.
Steinbach, Falko, et al.. (2008). Clinical application of dendritic cells and interleukin-2 and tools to study activated T cells in horses—First results and implications for quality control. Veterinary Immunology and Immunopathology. 128(1-3). 16–23. 19 indexed citations
13.
Ibrahim, S., et al.. (2007). Potential target site activity of nootkatone and tetrahydronootkatone on formosan subterranean termite (Isoptera: Rhinotermitidae).. 1125–1131. 3 indexed citations
14.
Ibrahim, S., et al.. (2007). Screening of anti-human leukocyte monoclonal antibodies for reactivity with equine leukocytes. Veterinary Immunology and Immunopathology. 119(1-2). 63–80. 49 indexed citations
15.
Steinbach, Falko, et al.. (2007). Further characterization of cross-reactive anti-human leukocyte mAbs by use of equine leukocyte cell lines EqT8888 and eCAS. Veterinary Immunology and Immunopathology. 119(1-2). 100–105. 5 indexed citations
16.
Artemenko, Yulia, AnneMarie Gagnon, S. Ibrahim, & Alexander Sorisky. (2007). Regulation of PDGF‐stimulated SHIP2 tyrosine phosphorylation and association with Shc in 3T3‐L1 preadipocytes. Journal of Cellular Physiology. 211(3). 598–607. 11 indexed citations
17.
Ibrahim, S. & Falko Steinbach. (2007). Non-HLDA8 animal homologue section anti-leukocyte mAbs tested for reactivity with equine leukocytes. Veterinary Immunology and Immunopathology. 119(1-2). 81–91. 18 indexed citations
18.
Flaminio, M. Julia B.F., S. Ibrahim, D.P. Lunn, Robert Stark, & Falko Steinbach. (2007). Further analysis of anti-human leukocyte mAbs with reactivity to equine leukocytes by two-colour flow cytometry and immunohistochemistry. Veterinary Immunology and Immunopathology. 119(1-2). 92–99. 13 indexed citations
19.
Steinbach, Falko, Robert Stark, S. Ibrahim, et al.. (2005). Molecular cloning and characterization of markers and cytokines for equid myeloid cells. Veterinary Immunology and Immunopathology. 108(1-2). 227–236. 30 indexed citations
20.
Attallah, Abdelfattah M., et al.. (1987). Immunological Activities of Recombinant Interferon-α 2 and Its A Fragment. Journal of Interferon Research. 7(2). 223–229. 4 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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