Dilaware Khan
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Intracranial Aneurysms: Treatment and Complications
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
- Neurology 12
- Intracranial Aneurysms: Treatment and Complications 10
- Traumatic Brain Injury and Neurovascular Disturbances 5
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Yu Zhang (1 shared paper)Edda Tobiasch (1 shared paper)Sajjad Muhammad (22 shared papers)Jan F. Cornelius (8 shared papers)Majeed Rana (5 shared papers)Christian Steinhäuser (3 shared papers)Daniel Hänggi (8 shared papers)Peter Bedner (2 shared papers)
In The Last Decade
Dilaware Khan
22 papers receiving 333 citations
Peers
Comparison fields: 5 of 74
- Genetics 69
- Neurology 41
- Cancer Research 30
- Pharmacology 17
- Neurology 15
Countries citing papers authored by Dilaware Khan
This map shows the geographic impact of Dilaware Khan'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 Dilaware Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilaware Khan more than expected).
Fields of papers citing papers by Dilaware Khan
This network shows the impact of papers produced by Dilaware Khan. 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 Dilaware Khan. The network helps show where Dilaware Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dilaware Khan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 122 | |
| 2 | 2016 | 27 | |
| 3 | 2023 | 22 | |
| 4 | 2014 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2024 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Dilaware Khan
Dilaware Khan is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Genetics, having authored 26 papers that have together received 338 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Genetics (69 citations), Neurology (41 citations), Cancer Research (30 citations), Pharmacology (17 citations) and Neurology (15 citations). Dilaware Khan has collaborated with scholars based in Germany, Finland and Pakistan. Frequent co-authors include Yu Zhang, Edda Tobiasch, Sajjad Muhammad, Jan F. Cornelius, Majeed Rana, Christian Steinhäuser, Daniel Hänggi, Peter Bedner, P.N.E. de Graan and Norbert Gerdes. Their work appears in journals such as Scientific Reports, Antioxidants, International Journal of Molecular Sciences, Pharmaceuticals and Frontiers in Human Neuroscience.
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.