Mohammad Abdullah
Impact in
- Periodontics top 2%
- Oral microbiology and periodontitis research
- Biological Psychiatry top 10%
Papers in
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- Extracellular vesicles in disease 3
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 2
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- Alzheimer's disease research and treatments 9
- Co-authors
- Makoto Michikawa (11 shared papers)Kun Zou (3 shared papers)Luqman Chuah Abdullah (6 shared papers)Siti Nurul Ain Md. Jamil (5 shared papers)Thomas Shean Yaw Choong (5 shared papers)Kenji Matsushita (1 shared paper)Abel Adekanmi Adeyi (4 shared papers)Naoyuki Ishida (1 shared paper)
In The Last Decade
Mohammad Abdullah
45 papers receiving 729 citations
Peers
Comparison fields: 5 of 128
- Periodontics 109
- Biological Psychiatry 36
- Neurology 92
- Physiology 171
- Water Science and Technology 85
Countries citing papers authored by Mohammad Abdullah
This map shows the geographic impact of Mohammad 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 Mohammad Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Abdullah more than expected).
Fields of papers citing papers by Mohammad Abdullah
This network shows the impact of papers produced by Mohammad 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 Mohammad Abdullah. The network helps show where Mohammad Abdullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad 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 | 2017 | 174 | |
| 2 | 2020 | 60 | |
| 3 | 2019 | 49 | |
| 4 | 2021 | 49 | |
| 5 | 2019 | 47 | |
| 6 | 2016 | 41 | |
| 7 | 2016 | 34 | |
| 8 | 2020 | 34 | |
| 9 | 2019 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2021 | 30 | |
| 12 | 2019 | 24 | |
| 13 | 2021 | 21 | |
| 14 | 2016 | 18 | |
| 15 | Reliability and Construct Validity of Knowledge, Attitude and Practice on Dengue Fever Prevention Questionnaire | 2013 | 14 |
| 16 | 2006 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2018 | 5 |
About Mohammad Abdullah
Mohammad Abdullah is a scholar working on Molecular Biology, Physiology, Water Science and Technology, Organic Chemistry and Biomaterials, having authored 50 papers that have together received 748 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Adsorption and biosorption for pollutant removal (5 papers), Advanced Cellulose Research Studies (3 papers), Extracellular vesicles in disease (3 papers), Bioinformatics and Genomic Networks (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Machine Learning in Bioinformatics (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Periodontics (109 citations), Biological Psychiatry (36 citations), Neurology (92 citations), Physiology (171 citations) and Water Science and Technology (85 citations). Mohammad Abdullah has collaborated with scholars based in Malaysia, Japan and Nigeria. Frequent co-authors include Makoto Michikawa, Kun Zou, Luqman Chuah Abdullah, Siti Nurul Ain Md. Jamil, Thomas Shean Yaw Choong, Kenji Matsushita, Abel Adekanmi Adeyi, Naoyuki Ishida, Hiroyuki Tada and Kazuto Ishida. Their work appears in journals such as Journal of Alzheimer s Disease, Materials, Alzheimer s & Dementia, Frontiers in Immunology and Occupational and Environmental Medicine.
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.