Hani Al‐Salami
- Pharmaceutical Science top 0.1%
- Advanced Drug Delivery Systems 52
- Drug Solubulity and Delivery Systems 30
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- Diabetes Management and Research 28
- Pharmacology top 1%
- Cannabis and Cannabinoid Research 36
- Biomaterials top 2%
- Molecular Medicine top 2%
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- Pancreatic function and diabetes 67
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- Drug Transport and Resistance Mechanisms 35
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- Diabetes and associated disorders 16
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- Liver Disease Diagnosis and Treatment 13
- Co-authors
- Armin MooranianCrispin R. DassMomir MikovRebecca NegruljChun Yuen Jerry WongSvetlana Goločorbin-KonMarc FakhouryFrank Arfuso
- Journals
- Therapeutic Delivery (24 papers)Pharmaceutics (10 papers)Artificial Cells Nanomedicine and Biotechnology (8 papers)
- Partner nations
- AustraliaSerbiaNew Zealand
In The Last Decade
Hani Al‐Salami
206 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Pharmaceutical Science 1.4k
- Endocrinology, Diabetes and Metabolism 914
- Pharmacology 900
- Biomaterials 628
- Molecular Medicine 224
Countries citing papers authored by Hani Al‐Salami
This map shows the geographic impact of Hani Al‐Salami'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 Hani Al‐Salami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Al‐Salami more than expected).
Fields of papers citing papers by Hani Al‐Salami
This network shows the impact of papers produced by Hani Al‐Salami. 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 Hani Al‐Salami. The network helps show where Hani Al‐Salami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hani Al‐Salami, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 50 | |
| 17 | 2020 | 67 | |
| 18 | 2019 | 0 | |
| 19 | 2019 | 12 | |
| 20 | 2014 | 51 |
About Hani Al‐Salami
Hani Al‐Salami is a scholar working on Pharmaceutical Science, Endocrinology, Diabetes and Metabolism, Pharmacology, Sensory Systems and Surgery, having authored 213 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (67 papers), Advanced Drug Delivery Systems (52 papers), Cannabis and Cannabinoid Research (36 papers), Drug Transport and Resistance Mechanisms (35 papers), Drug Solubulity and Delivery Systems (30 papers), Diabetes Management and Research (28 papers), Diabetes and associated disorders (16 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Pharmaceutical Science (1.4k citations), Endocrinology, Diabetes and Metabolism (914 citations), Pharmacology (900 citations), Biomaterials (628 citations) and Molecular Medicine (224 citations). Hani Al‐Salami has collaborated with scholars based in Australia, Serbia and New Zealand. Frequent co-authors include Armin Mooranian, Crispin R. Dass, Momir Mikov, Rebecca Negrulj, Chun Yuen Jerry Wong, Svetlana Goločorbin-Kon, Marc Fakhoury, Frank Arfuso, Ryusuke Takechi and Maja Đanić. Their work appears in journals such as Therapeutic Delivery, Pharmaceutics, Artificial Cells Nanomedicine and Biotechnology, Journal of drug targeting and Frontiers in Pharmacology.
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.