Faridah Mbabaali

63 total papers · 15.4k total citations
4 papers, 104 citations indexed

About

Faridah Mbabaali is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Faridah Mbabaali has authored 4 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Faridah Mbabaali's work include Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers) and RNA Interference and Gene Delivery (1 paper). Faridah Mbabaali is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers) and RNA Interference and Gene Delivery (1 paper). Faridah Mbabaali collaborates with scholars based in Canada, United States and China. Faridah Mbabaali's co-authors include Junfeng Ji, Vivek Sharma, Nizar N. Batada, Miguel A. Esteban, John D. McPherson, Wenxia Fan, Zhiwei Luo, Ping Zhao, Dante Neculai and Yu Wang and has published in prestigious journals such as Oncotarget, Stem Cell Reports and Cancer Genetics.

In The Last Decade

Faridah Mbabaali

4 papers receiving 103 citations

Author Peers

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

Author Last Decade Papers Cites
Faridah Mbabaali 82 16 15 12 9 4 104
Yuko Kitano 73 0.9× 15 0.9× 9 0.6× 4 0.3× 9 1.0× 5 97
Akihito Hashimoto 86 1.0× 19 1.2× 6 0.4× 15 1.3× 16 1.8× 4 127
Yanglu Wang 73 0.9× 6 0.4× 22 1.5× 6 0.5× 10 1.1× 5 96
Cameran Jones 128 1.6× 18 1.1× 12 0.8× 12 1.0× 16 1.8× 2 219
Orla O’Shea 71 0.9× 14 0.9× 17 1.1× 10 0.8× 8 0.9× 6 100
Louise L.A.M. Nijenkamp 87 1.1× 7 0.4× 13 0.9× 6 0.5× 11 1.2× 6 260
Alison Bamberg 137 1.7× 22 1.4× 8 0.5× 31 2.6× 15 1.7× 5 279
Delwood Richardson 129 1.6× 5 0.3× 15 1.0× 7 0.6× 28 3.1× 5 247
Adam Karoutas 162 2.0× 47 2.9× 17 1.1× 20 1.7× 12 1.3× 6 241
Lifan Duan 69 0.8× 17 1.1× 16 1.1× 32 2.7× 5 0.6× 4 113

Countries citing papers authored by Faridah Mbabaali

Since Specialization
Citations

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

Fields of papers citing papers by Faridah Mbabaali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faridah Mbabaali

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