Farid M.A. Hamada

36 total papers · 1.6k total citations
32 papers, 1.4k citations indexed

About

Farid M.A. Hamada is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Farid M.A. Hamada has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 6 papers in Pharmacology. Recurrent topics in Farid M.A. Hamada's work include Uterine Myomas and Treatments (4 papers), Chemotherapy-induced organ toxicity mitigation (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Farid M.A. Hamada is often cited by papers focused on Uterine Myomas and Treatments (4 papers), Chemotherapy-induced organ toxicity mitigation (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Farid M.A. Hamada collaborates with scholars based in Egypt, United States and Germany. Farid M.A. Hamada's co-authors include Osama A. Badary, MOHAMED H. ABDEL-WAHAB, Hossam M.M. Arafa, Ashraf B. Abdel‐Naim, Josef Pfeilschifter, W. Eberhardt, El‐Sayed Akool, Salama A. Salama, Ramadan A.M. Hemeida and Ali H. El‐Bahrawy and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Farid M.A. Hamada

32 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Farid M.A. Hamada 557 232 204 198 135 32 1.4k
Ji‐Hyun Kim 540 1.0× 115 0.5× 133 0.7× 151 0.8× 240 1.8× 55 1.3k
Yueh-Min Lin 646 1.2× 181 0.8× 287 1.4× 183 0.9× 163 1.2× 61 1.4k
Kenji Niwa 428 0.8× 58 0.3× 133 0.7× 130 0.7× 116 0.9× 46 1.2k
Khuloud Bajbouj 859 1.5× 340 1.5× 375 1.8× 247 1.2× 205 1.5× 65 1.8k
Ammar C. Al‐Rikabi 290 0.5× 223 1.0× 242 1.2× 134 0.7× 318 2.4× 69 1.4k
Liuting Zeng 684 1.2× 208 0.9× 98 0.5× 188 0.9× 90 0.7× 73 1.7k
Do Young Lim 1.0k 1.9× 59 0.3× 332 1.6× 213 1.1× 122 0.9× 44 1.8k
Qihe Xu 749 1.3× 312 1.3× 110 0.5× 123 0.6× 73 0.5× 51 1.6k
Chun Zhou 451 0.8× 93 0.4× 166 0.8× 153 0.8× 48 0.4× 52 1.1k
Hui Zhao 673 1.2× 66 0.3× 213 1.0× 240 1.2× 110 0.8× 23 1.3k

Countries citing papers authored by Farid M.A. Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Farid M.A. Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farid M.A. Hamada

This figure shows the co-authorship network connecting the top 25 collaborators of Farid M.A. Hamada. A scholar is included among the top collaborators of Farid M.A. Hamada 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 Farid M.A. Hamada. Farid M.A. Hamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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