Mohammed Shnain Ali
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 2
- Genetics top 10%
- Mesenchymal stem cell research 2
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- MicroRNA in disease regulation 3
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- Circular RNAs in diseases 3
- Extracellular vesicles in disease 1
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- Cancer Mechanisms and Therapy 1
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- Child Nutrition and Water Access 1
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- Tissue Engineering and Regenerative Medicine 1
- Co-authors
- Cesar V. BorlonganPaul R. SanbergSeong‐Jin YuCyndy D. SanbergMina MakiYuji KanekoJulie AllicksonNicole Kuzmin‐Nichols
- Journals
- SHILAP Revista de lepidopterología (1 paper)Progress in Neurobiology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IraqSaudi ArabiaJordan
In The Last Decade
Mohammed Shnain Ali
18 papers receiving 338 citations
Peers
Comparison fields: 5 of 75
- Developmental Neuroscience 57
- Genetics 123
- Neurology 39
- Reproductive Medicine 26
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by Mohammed Shnain Ali
This map shows the geographic impact of Mohammed Shnain Ali'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 Mohammed Shnain Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Shnain Ali more than expected).
Fields of papers citing papers by Mohammed Shnain Ali
This network shows the impact of papers produced by Mohammed Shnain Ali. 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 Mohammed Shnain Ali. The network helps show where Mohammed Shnain Ali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammed Shnain Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 29 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 3 | |
| 15 | Comparison between digital hematocrit reader and standard centrifugation based hematocrit measuring instrument. | 2014 | 0 |
| 16 | 2010 | 5 | |
| 17 | 2009 | 163 | |
| 18 | 2008 | 79 | |
| 19 | New triterpenic esters of oleanene-series from the flowers of Calendula officinalis Linn | 2005 | 6 |
| 20 | A new sterol from Holarrhena anti dysente rica seeds | 2001 | 1 |
About Mohammed Shnain Ali
Mohammed Shnain Ali is a scholar working on Developmental Neuroscience, Cancer Research and Genetics, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), Mesenchymal stem cell research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Extracellular vesicles in disease (1 paper), Cancer Mechanisms and Therapy (1 paper), Child Nutrition and Water Access (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Developmental Neuroscience (57 citations), Genetics (123 citations) and Neurology (39 citations). Mohammed Shnain Ali has collaborated with scholars based in Iraq, Saudi Arabia and Jordan. Frequent co-authors include Cesar V. Borlongan, Paul R. Sanberg, Seong‐Jin Yu, Cyndy D. Sanberg, Mina Maki, Yuji Kaneko, Julie Allickson, Nicole Kuzmin‐Nichols, Takao Yasuhara and Seong Jin Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Progress in Neurobiology and International Journal of Biological Macromolecules.
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.