Madiha S. Ibrahim

1.6k total citations
67 papers, 1.2k citations indexed

About

Madiha S. Ibrahim is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Madiha S. Ibrahim has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 21 papers in Infectious Diseases and 14 papers in Agronomy and Crop Science. Recurrent topics in Madiha S. Ibrahim's work include Influenza Virus Research Studies (26 papers), Respiratory viral infections research (13 papers) and Animal Disease Management and Epidemiology (13 papers). Madiha S. Ibrahim is often cited by papers focused on Influenza Virus Research Studies (26 papers), Respiratory viral infections research (13 papers) and Animal Disease Management and Epidemiology (13 papers). Madiha S. Ibrahim collaborates with scholars based in Japan, Egypt and Thailand. Madiha S. Ibrahim's co-authors include Kazuyoshi Ikuta, Y. Watanabe, Yasuo Suzuki, Tatsuya Takagi, Norihito Kawashita, Tomo Daidoji, Takaaki Nakaya, Hany Ellakany, Mohammed A. Al‐Harthi and Youssef A. Attia and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Scientific Reports.

In The Last Decade

Madiha S. Ibrahim

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madiha S. Ibrahim Japan 20 713 396 345 257 202 67 1.2k
Jingliang Su China 19 293 0.4× 572 1.4× 232 0.7× 126 0.5× 311 1.5× 38 1.3k
Fabrício Souza Campos Brazil 18 303 0.4× 247 0.6× 121 0.4× 102 0.4× 144 0.7× 91 915
Sidang Liu China 22 442 0.6× 517 1.3× 228 0.7× 268 1.0× 261 1.3× 91 1.3k
Yi-Seok Joo South Korea 22 377 0.5× 483 1.2× 497 1.4× 51 0.2× 336 1.7× 37 1.3k
Kikuyasu Nakamura Japan 23 919 1.3× 733 1.9× 539 1.6× 213 0.8× 217 1.1× 80 1.7k
Tamiru N. Alkie Canada 21 376 0.5× 310 0.8× 104 0.3× 320 1.2× 186 0.9× 43 990
Constantinos S. Kyriakis United States 19 451 0.6× 301 0.8× 389 1.1× 106 0.4× 157 0.8× 42 985
Zixue Shi China 18 190 0.3× 267 0.7× 296 0.9× 205 0.8× 268 1.3× 30 905
Yasuyuki Mori Japan 23 452 0.6× 196 0.5× 97 0.3× 375 1.5× 260 1.3× 58 1.2k
Zengqi Yang China 17 327 0.5× 363 0.9× 81 0.2× 197 0.8× 217 1.1× 67 946

Countries citing papers authored by Madiha S. Ibrahim

Since Specialization
Citations

This map shows the geographic impact of Madiha 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 Madiha 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 Madiha S. Ibrahim more than expected).

Fields of papers citing papers by Madiha S. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Madiha S. Ibrahim. A scholar is included among the top collaborators of Madiha 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 Madiha S. Ibrahim. Madiha 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.
Sumitomo, Tomoko, et al.. (2024). Two-component regulatory system TCS08 of a serotype 4 strain in pneumococcal pneumonia pathogenesis. Journal of Oral Biosciences. 66(3). 567–574. 1 indexed citations
2.
Alaidaroos, Bothaina A., et al.. (2022). Antimicrobial impacts of zinc oxide nanoparticles on Shiga toxin-producing Escherichia coli (serotype O26). Annals of Animal Science. 23(2). 461–471. 2 indexed citations
3.
Zabermawi, Nidal M., et al.. (2022). Evaluation of the Antimicrobial Activity of ZnO Nanoparticles against Enterotoxigenic Staphylococcus aureus. Life. 12(10). 1662–1662. 28 indexed citations
4.
Arai, Yasuha, Norihito Kawashita, Tomo Daidoji, et al.. (2021). Double mutations in the H9N2 avian influenza virus PB2 gene act cooperatively to increase viral host adaptation and replication for human infections. Journal of General Virology. 102(6). 4 indexed citations
5.
Ibrahim, Madiha S., et al.. (2019). Characterization of bacterial pathogens associated with milk microbiota in Egypt. African Journal of Microbiology Research. 13(28). 580–608. 3 indexed citations
6.
Arai, Yasuha, Norihito Kawashita, Madiha S. Ibrahim, et al.. (2019). PB2 mutations arising during H9N2 influenza evolution in the Middle East confer enhanced replication and growth in mammals. PLoS Pathogens. 15(7). e1007919–e1007919. 34 indexed citations
7.
Ali, Nadia Gabr, et al.. (2019). Virulence genes contributing to Aeromonas hydrophila pathogenicity in Oreochromis niloticus. International Microbiology. 22(4). 479–490. 69 indexed citations
8.
Ibrahim, Madiha S., et al.. (2018). Characterization of chicken IgY produced against H5 and H9 avian influenza viruses. Alexandria Journal of Veterinary Sciences. 59(1). 79–79. 3 indexed citations
9.
Shahein, Momtaz A., et al.. (2017). Co-circulation of three different serotypes of FMD virus in Egypt. 2(1). 102–113. 1 indexed citations
10.
11.
Ibrahim, Madiha S., et al.. (2017). Pathogenicity and Characterization of Streptococcosis in Egyptian Nile Tilapia (Oreochromis niloticus) in Kafr Elshikh Governorate. Alexandria Journal of Veterinary Sciences. 52(1). 173–173. 6 indexed citations
12.
Pan, Yang, Tadahiro Sasaki, Ritsuko Kubota‐Koketsu, et al.. (2014). Human monoclonal antibodies derived from a patient infected with 2009 pandemic influenza A virus broadly cross-neutralize group 1 influenza viruses. Biochemical and Biophysical Research Communications. 450(1). 42–48. 8 indexed citations
13.
Ibrahim, Madiha S., et al.. (2012). ATTEMPTS TO REGULATE GROWTH oF CU-PRESSUS MACROCARPA, HARTW CV GOLD-CREST THROUGH GROWTH REGULATORS AND CHEMICAL FERTILIZATION.. Assiut Journal of Agricultural Sciences. 43(2). 1–20. 1 indexed citations
14.
Watanabe, Y., Madiha S. Ibrahim, Yasuo Suzuki, & Kazuyoshi Ikuta. (2011). The changing nature of avian influenza A virus (H5N1). Trends in Microbiology. 20(1). 11–20. 104 indexed citations
15.
Ibrahim, Madiha S., Y. Watanabe, Hany Ellakany, et al.. (2011). Host-specific genetic variation of highly pathogenic avian influenza viruses (H5N1). Virus Genes. 42(3). 363–368. 7 indexed citations
16.
Ibrahim, Madiha S. & Kazuyoshi Ikuta. (2011). Field Diagnosis of Avian Influenza H5N1 Virus in Egypt using RAPID Immunochromatographic Diagnostic Tests. 7(4). 184–190. 1 indexed citations
17.
Sapsutthipas, Sompong, Muneo Tsujikawa, Akifumi Yamashita, et al.. (2010). Full-Length Sequences of One Genotype 4 and Three Genotype 3 Hepatitis E Viruses in Fecal Samples from Domestic Swine in Japan. 4(1). 11–19. 6 indexed citations
18.
Watanabe, Y., Madiha S. Ibrahim, Katsuro Hagiwara, et al.. (2007). Characterization of a Borna disease virus field isolate which shows efficient viral propagation and transmissibility. Microbes and Infection. 9(4). 417–427. 8 indexed citations
19.
Ibrahim, Madiha S., Makiko Watanabe, José Palacios, et al.. (2002). Varied Persistent Life Cycles of Borna Disease Virus in a Human Oligodendroglioma Cell Line. Journal of Virology. 76(8). 3873–3880. 6 indexed citations
20.

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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