David Khalil
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
-
- Visual perception and processing mechanisms 2
- Functional Brain Connectivity Studies 2
- Neural dynamics and brain function 2
- Oncology 3
- Cutaneous Melanoma Detection and Management 1
- Co-authors
- Alexis M. Stranahan (2 shared papers)Elizabeth Gould (2 shared papers)Douglas Hanlon (2 shared papers)Richard L. Edelson (2 shared papers)Tarek M. Fahmy (1 shared paper)Eve Robinson (1 shared paper)Fiona A. Sharp (1 shared paper)Robert E. Tigelaar (1 shared paper)
- Journals
- Journal of Clinical Medicine (1 paper)Journal of Vision (1 paper)Brain Connectivity (1 paper)International Journal of Nanomedicine (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesIranFrance
In The Last Decade
David Khalil
10 papers receiving 754 citations
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 325
- Behavioral Neuroscience 182
- Biological Psychiatry 47
- Neurology 107
- Cellular and Molecular Neuroscience 174
Countries citing papers authored by David Khalil
This map shows the geographic impact of David Khalil'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 David Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Khalil more than expected).
Fields of papers citing papers by David Khalil
This network shows the impact of papers produced by David Khalil. 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 David Khalil. The network helps show where David Khalil may publish in the future.
Co-authors
The 25 scholars most cited alongside David Khalil, 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 | 2006 | 376 | |
| 2 | 2007 | 270 | |
| 3 | 2014 | 82 | |
| 4 | 2013 | 19 | |
| 5 | 2023 | 11 | |
| 6 | Extracorporeal Photochemotherapy: Mechanistic Insights Driving Recent Advances and Future Directions. | 2020 | 6 |
| 7 | 2010 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2016 | 3 | |
| 10 | 2004 | 1 |
About David Khalil
David Khalil is a scholar working on Cognitive Neuroscience, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 10 papers that have together received 776 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Cancer and Skin Lesions (1 paper), Viral Infections and Immunology Research (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Developmental Neuroscience (325 citations), Behavioral Neuroscience (182 citations), Biological Psychiatry (47 citations), Neurology (107 citations) and Cellular and Molecular Neuroscience (174 citations). David Khalil has collaborated with scholars based in United States, Iran and France. Frequent co-authors include Alexis M. Stranahan, Elizabeth Gould, Douglas Hanlon, Richard L. Edelson, Tarek M. Fahmy, Eve Robinson, Fiona A. Sharp, Robert E. Tigelaar, Enping Hong and Sandeep Saluja. Their work appears in journals such as Journal of Clinical Medicine, Journal of Vision, Brain Connectivity, International Journal of Nanomedicine and Nature 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.