Hani Aiash
Impact in
-
- Intensive Care Unit Cognitive Disorders
- Emergency Medicine top 10%
- Cardiac Arrest and Resuscitation
Papers in
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- Intensive Care Unit Cognitive Disorders 4
- Co-authors
- Gary F. Nieman (9 shared papers)Penny Andrews (6 shared papers)Nader M. Habashi (6 shared papers)Louis A. Gatto (6 shared papers)Joshua M. Satalin (6 shared papers)Michaela C. Kollisch-Singule (4 shared papers)Jaffer Shah (18 shared papers)AbdulRahman A. Saied (5 shared papers)
- Journals
- Clinical Cardiology (4 papers)Medicine (3 papers)American Heart Journal (3 papers)The Lancet Microbe (2 papers)Journal of ExtraCorporeal Technology (2 papers)
- Partner nations
- United StatesEgyptSaudi Arabia
In The Last Decade
Hani Aiash
54 papers receiving 704 citations
Peers
Comparison fields: 5 of 102
- Critical Care and Intensive Care Medicine 61
- Emergency Medicine 79
- Pulmonary and Respiratory Medicine 220
- Neurology 51
- Family Practice 6
Countries citing papers authored by Hani Aiash
This map shows the geographic impact of Hani Aiash'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 Aiash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Aiash more than expected).
Fields of papers citing papers by Hani Aiash
This network shows the impact of papers produced by Hani Aiash. 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 Aiash. The network helps show where Hani Aiash may publish in the future.
Co-authors
The 25 scholars most cited alongside Hani Aiash, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 101 | |
| 2 | 2020 | 69 | |
| 3 | 2018 | 68 | |
| 4 | 2022 | 45 | |
| 5 | 2022 | 42 | |
| 6 | 2023 | 41 | |
| 7 | 2017 | 39 | |
| 8 | 2022 | 36 | |
| 9 | 2024 | 29 | |
| 10 | 2021 | 23 | |
| 11 | 2024 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2025 | 17 | |
| 14 | 2018 | 15 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 8 |
About Hani Aiash
Hani Aiash is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Clinical Psychology, Neurology and Emergency Medicine, having authored 64 papers that have together received 735 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), Cardiac Arrest and Resuscitation (5 papers), Respiratory Support and Mechanisms (5 papers), Gastrointestinal motility and disorders (4 papers), Sleep and related disorders (4 papers), Intensive Care Unit Cognitive Disorders (4 papers), COVID-19 and Mental Health (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (61 citations), Emergency Medicine (79 citations), Pulmonary and Respiratory Medicine (220 citations), Neurology (51 citations) and Family Practice (6 citations). Hani Aiash has collaborated with scholars based in United States, Egypt and Saudi Arabia. Frequent co-authors include Gary F. Nieman, Penny Andrews, Nader M. Habashi, Louis A. Gatto, Joshua M. Satalin, Michaela C. Kollisch-Singule, Jaffer Shah, AbdulRahman A. Saied, Asmaa Abd El-Hakeem Metwally and Sarah J. Blair. Their work appears in journals such as Clinical Cardiology, Medicine, American Heart Journal, The Lancet Microbe and Journal of ExtraCorporeal Technology.
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.