Ali Hanbashi
Impact in
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
Papers in
-
- CRISPR and Genetic Engineering 2
- Single-cell and spatial transcriptomics 1
- Oncology 4
- Co-authors
- Hatem M.A. Amin (4 shared papers)Muhammad Naeem‐ul‐Hassan (3 shared papers)Hassan A. Alhazmi (2 shared papers)Khalid Zoghebi (2 shared papers)Azhar Abbas (3 shared papers)Nasir Assad (2 shared papers)Mohammed Al Bratty (2 shared papers)Asim Najmi (2 shared papers)
- Journals
- The CRISPR Journal (1 paper)Cell Biology International (1 paper)RSC Advances (1 paper)Frontiers in Immunology (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- Saudi ArabiaUnited KingdomIndia
In The Last Decade
Ali Hanbashi
16 papers receiving 342 citations
Peers
Comparison fields: 5 of 76
- Physiology 39
- Drug Discovery 1
- Sensory Systems 26
- Process Chemistry and Technology 11
- Materials Chemistry 158
Countries citing papers authored by Ali Hanbashi
This map shows the geographic impact of Ali Hanbashi'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 Ali Hanbashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Hanbashi more than expected).
Fields of papers citing papers by Ali Hanbashi
This network shows the impact of papers produced by Ali Hanbashi. 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 Ali Hanbashi. The network helps show where Ali Hanbashi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Hanbashi, 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 | 2023 | 109 | |
| 2 | 2023 | 85 | |
| 3 | 2024 | 42 | |
| 4 | 2020 | 35 | |
| 5 | 2020 | 24 | |
| 6 | 2021 | 18 | |
| 7 | 2014 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2025 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Ali Hanbashi
Ali Hanbashi is a scholar working on Molecular Biology, Oncology, Physiology, Materials Chemistry and Sensory Systems, having authored 18 papers that have together received 347 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (4 papers), Ion Channels and Receptors (3 papers), Adenosine and Purinergic Signaling (2 papers), CRISPR and Genetic Engineering (2 papers), Carbon dioxide utilization in catalysis (2 papers), Nanoparticles: synthesis and applications (2 papers), Catalytic Processes in Materials Science (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Physiology (39 citations), Drug Discovery (1 citation), Sensory Systems (26 citations), Process Chemistry and Technology (11 citations) and Materials Chemistry (158 citations). Ali Hanbashi has collaborated with scholars based in Saudi Arabia, United Kingdom and India. Frequent co-authors include Hatem M.A. Amin, Muhammad Naeem‐ul‐Hassan, Hassan A. Alhazmi, Khalid Zoghebi, Azhar Abbas, Nasir Assad, Mohammed Al Bratty, Asim Najmi, Muhammad Sher and John Parrington. Their work appears in journals such as The CRISPR Journal, Cell Biology International, RSC Advances, Frontiers in Immunology and Current Medicinal Chemistry.
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.