David Khalil

971 citations
10 papers · 779 · h-index 6

Impact in

Papers in

    • Neural dynamics and brain function 2
    • Functional Brain Connectivity Studies 2
    • Visual perception and processing mechanisms 2

David Khalil

10 papers receiving 757 citations

Peers

David Khalil
Comparison fields: 5 of 86
  • Developmental Neuroscience 308
  • Behavioral Neuroscience 169
  • Biological Psychiatry 38
  • Neurology 97
  • Cellular and Molecular Neuroscience 165
Replace Shunya Yagi with:
Shunya Yagi Canada
Helena Frielingsdorf Sweden
Laure Belnoue France
S. Lamarque France
Erin K. DeYoung United States
Sharon Haramati Israel
Mira Jakovcevski Germany
A.-Ch. Granholm United States
Steven R. Wainwright Canada
Lisa K. Marriott United States
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Citations per field
00.5×2.6×
Shunya Yagi · 1×
Citations per year

Countries citing papers authored by David Khalil

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Khalil Line = papers co-authored together David Khalil links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006376
2 2007270
3 201482
4 201319
5 202315
6
Extracorporeal Photochemotherapy: Mechanistic Insights Driving Recent Advances and Future Directions.
20206
7 20105
8 20163
9 20232
10 20041

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 779 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), Neural dynamics and brain function (2 papers), Functional Brain Connectivity Studies (2 papers), Visual perception and processing mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Adipose Tissue and Metabolism (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Developmental Neuroscience (308 citations), Behavioral Neuroscience (169 citations), Biological Psychiatry (38 citations), Neurology (97 citations) and Cellular and Molecular Neuroscience (165 citations). David Khalil has collaborated with scholars based in United States, Iran and Sint Maarten. Frequent co-authors include Elizabeth Gould, Alexis M. Stranahan, Richard L. Edelson, Douglas Hanlon, Fiona A. Sharp, Sandeep Saluja, Enping Hong, Robert E. Tigelaar, Tarek M. Fahmy and Eve Robinson. Their work appears in journals such as Nature Neuroscience, Brain Connectivity, Pediatric Dermatology, Journal of Clinical Medicine and Hippocampus.

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.

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