David Khalil

963 total citations
10 papers, 776 citations indexed

About

David Khalil is a scholar working on Cognitive Neuroscience, Oncology and Molecular Biology. According to data from OpenAlex, David Khalil has authored 10 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in David Khalil's work include Neural dynamics and brain function (2 papers), Visual perception and processing mechanisms (2 papers) and Immunotherapy and Immune Responses (2 papers). David Khalil is often cited by papers focused on Neural dynamics and brain function (2 papers), Visual perception and processing mechanisms (2 papers) and Immunotherapy and Immune Responses (2 papers). David Khalil collaborates with scholars based in United States, Iran and France. David Khalil's co-authors include Alexis M. Stranahan, Elizabeth Gould, Douglas Hanlon, Richard L. Edelson, Robert E. Tigelaar, Fiona A. Sharp, Sandeep Saluja, Enping Hong, Tarek M. Fahmy and Eve Robinson and has published in prestigious journals such as Nature Neuroscience, Hippocampus and International Journal of Nanomedicine.

In The Last Decade

David Khalil

10 papers receiving 754 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Khalil United States 6 325 182 174 159 151 10 776
Shunya Yagi Canada 9 168 0.5× 206 1.1× 135 0.8× 152 1.0× 77 0.5× 11 625
Laure Belnoue France 10 375 1.2× 163 0.9× 267 1.5× 161 1.0× 50 0.3× 13 791
Erin K. DeYoung United States 7 210 0.6× 84 0.5× 143 0.8× 99 0.6× 122 0.8× 7 488
Steven R. Wainwright Canada 14 307 0.9× 397 2.2× 263 1.5× 113 0.7× 77 0.5× 15 1.0k
Sharon Haramati Israel 9 183 0.6× 264 1.5× 259 1.5× 173 1.1× 100 0.7× 11 1.3k
Hava M. Golan Israel 18 111 0.3× 202 1.1× 268 1.5× 187 1.2× 73 0.5× 52 1.2k
Susana Monteiro Portugal 14 135 0.4× 207 1.1× 238 1.4× 50 0.3× 118 0.8× 31 973
Olaf Schulte‐Herbrüggen Germany 23 282 0.9× 317 1.7× 660 3.8× 137 0.9× 299 2.0× 38 1.5k
Anja Fischer Germany 13 194 0.6× 141 0.8× 152 0.9× 176 1.1× 32 0.2× 20 928
G. A. Grigoryan Russia 17 104 0.3× 174 1.0× 435 2.5× 234 1.5× 74 0.5× 56 876

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-authorship network of co-authors of David Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of David Khalil. A scholar is included among the top collaborators of David Khalil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Khalil. David Khalil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Khalil, David, Samy Ammari, Egesta Lopci, et al.. (2023). Recent Advances in the Field of Artificial Intelligence for Precision Medicine in Patients with a Diagnosis of Metastatic Cutaneous Melanoma. Diagnostics. 13(22). 3483–3483. 3 indexed citations
2.
Huang, Alice, Randy Yeh, David Khalil, et al.. (2023). PET/CT and SPECT/CT Imaging of HER2-Positive Breast Cancer. Journal of Clinical Medicine. 12(15). 4882–4882. 11 indexed citations
3.
Hanlon, Douglas, David Khalil, Patrick Han, et al.. (2020). Extracorporeal Photochemotherapy: Mechanistic Insights Driving Recent Advances and Future Directions.. The Yale Journal of Biology and Medicine. 93(1). 145–159. 6 indexed citations
4.
Damsky, William, Jonathan S. Leventhal, David Khalil, et al.. (2016). Recurrent Coxsackievirus Infection in a Patient with Lamellar Ichthyosis. Pediatric Dermatology. 33(2). e140–2. 3 indexed citations
5.
Hanlon, Douglas, Sandeep Saluja, Fiona A. Sharp, et al.. (2014). Targeting human dendritic cells via DEC-205 using PLGA nanoparticles leads to enhanced cross-presentation of a melanoma-associated antigen. International Journal of Nanomedicine. 9. 5231–5231. 82 indexed citations
6.
Pantazatos, Spiro P., et al.. (2013). Dynamic Coupling Between the Lateral Occipital-Cortex, Default-Mode, and Frontoparietal Networks During Bistable Perception. Brain Connectivity. 3(3). 286–293. 19 indexed citations
7.
Mercer, Stephen E., David Khalil, Patrick O. Emanuel, & Gary Goldenberg. (2010). Verrucous Carcinoma Masquerading as a Giant Fibroepithelial Polyp. International Journal of Surgical Pathology. 18(5). 347–351. 5 indexed citations
8.
Stranahan, Alexis M., David Khalil, & Elizabeth Gould. (2007). Running induces widespread structural alterations in the hippocampus and entorhinal cortex. Hippocampus. 17(11). 1017–1022. 270 indexed citations
9.
Stranahan, Alexis M., David Khalil, & Elizabeth Gould. (2006). Social isolation delays the positive effects of running on adult neurogenesis. Nature Neuroscience. 9(4). 526–533. 376 indexed citations

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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