Maha Abdullah
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 18
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Aquaculture disease management and microbiota 4
- Immune cells in cancer 3
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- RNA Interference and Gene Delivery 3
- Co-authors
- Sharmili Vidyadaran (11 shared papers)Rajesh Ramasamy (9 shared papers)Heng Fong Seow (7 shared papers)Pei Pei Chong (4 shared papers)Eusni Rahayu Mohd Tohit (2 shared papers)Syafinaz Amin Nordin (7 shared papers)Voon Kin Chin (4 shared papers)Rusliza Basir (2 shared papers)
In The Last Decade
Maha Abdullah
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Genetics 135
- Immunology 235
- Biological Psychiatry 16
- Oncology 172
- Parasitology 43
Countries citing papers authored by Maha Abdullah
This map shows the geographic impact of Maha Abdullah'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 Maha Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Abdullah more than expected).
Fields of papers citing papers by Maha Abdullah
This network shows the impact of papers produced by Maha Abdullah. 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 Maha Abdullah. The network helps show where Maha Abdullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Maha Abdullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 228 | |
| 2 | 2021 | 129 | |
| 3 | 2020 | 101 | |
| 4 | 2010 | 80 | |
| 5 | 2005 | 61 | |
| 6 | 2022 | 44 | |
| 7 | 2010 | 43 | |
| 8 | 2015 | 36 | |
| 9 | 2019 | 28 | |
| 10 | 2017 | 26 | |
| 11 | 2022 | 25 | |
| 12 | Mesenchymal stem cells inhibit proliferation of lymphoid origin haematopoietic tumour cells by inducing cell cycle arrest. | 2010 | 24 |
| 13 | 2016 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2011 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2013 | 18 | |
| 18 | 2018 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2015 | 17 |
About Maha Abdullah
Maha Abdullah is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Infectious Diseases, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Mesenchymal stem cell research (5 papers), Systemic Lupus Erythematosus Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Aquaculture disease management and microbiota (4 papers), RNA Interference and Gene Delivery (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Genetics (135 citations), Immunology (235 citations), Biological Psychiatry (16 citations), Oncology (172 citations) and Parasitology (43 citations). Maha Abdullah has collaborated with scholars based in Malaysia, Australia and India. Frequent co-authors include Sharmili Vidyadaran, Rajesh Ramasamy, Heng Fong Seow, Pei Pei Chong, Eusni Rahayu Mohd Tohit, Syafinaz Amin Nordin, Voon Kin Chin, Rusliza Basir, Phelim Voon Chen Yong and Masita Arip. Their work appears in journals such as Cellular Immunology, Cell Biology International, Journal of Fish Diseases, BMC Biotechnology and PLoS ONE.
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.