Mamdooh Ghoneum

133 total papers · 2.8k total citations
110 papers, 2.2k citations indexed

About

Mamdooh Ghoneum is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mamdooh Ghoneum has authored 110 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 36 papers in Immunology and 16 papers in Oncology. Recurrent topics in Mamdooh Ghoneum's work include Immune Cell Function and Interaction (24 papers), Cell death mechanisms and regulation (10 papers) and T-cell and B-cell Immunology (10 papers). Mamdooh Ghoneum is often cited by papers focused on Immune Cell Function and Interaction (24 papers), Cell death mechanisms and regulation (10 papers) and T-cell and B-cell Immunology (10 papers). Mamdooh Ghoneum collaborates with scholars based in United States, Egypt and Japan. Mamdooh Ghoneum's co-authors include Sastry Gollapudi, Nariman K. Badr El-Din, Sudhanshu Agrawal, Motohiro Matsuura, Eman Noaman, Nesrine S. El Sayed, James K. Gimzewski, Anahid Jewett, Aristo Vojdani and Edwin L. Cooper and has published in prestigious journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Mamdooh Ghoneum

106 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mamdooh Ghoneum 729 493 363 269 264 110 2.2k
Gitte S. Jensen 826 1.1× 427 0.9× 380 1.0× 247 0.9× 102 0.4× 80 2.9k
Sanguine Byun 1.5k 2.0× 333 0.7× 284 0.8× 154 0.6× 189 0.7× 88 2.8k
Hee Kyoung Kang 1.4k 2.0× 235 0.5× 488 1.3× 216 0.8× 226 0.9× 111 3.2k
Ying Nie 1.1k 1.6× 440 0.9× 248 0.7× 186 0.7× 100 0.4× 91 2.6k
Xu Xu 1.2k 1.6× 277 0.6× 330 0.9× 219 0.8× 154 0.6× 112 2.7k
Nylane Maria Nunes de Alencar 771 1.1× 268 0.5× 502 1.4× 107 0.4× 170 0.6× 86 2.1k
Soon‐Cheol Ahn 1.5k 2.1× 474 1.0× 267 0.7× 168 0.6× 117 0.4× 127 3.3k
Wenda Wu 1.1k 1.5× 355 0.7× 1.1k 2.9× 220 0.8× 126 0.5× 90 3.0k
Meiling Chen 1.2k 1.6× 571 1.2× 387 1.1× 106 0.4× 141 0.5× 121 3.2k
Simone Beninati 1.3k 1.7× 275 0.6× 706 1.9× 127 0.5× 145 0.5× 113 3.1k

Countries citing papers authored by Mamdooh Ghoneum

Since Specialization
Citations

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

Fields of papers citing papers by Mamdooh Ghoneum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamdooh Ghoneum

This figure shows the co-authorship network connecting the top 25 collaborators of Mamdooh Ghoneum. A scholar is included among the top collaborators of Mamdooh Ghoneum 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 Mamdooh Ghoneum. Mamdooh Ghoneum 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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