Danny N. Khalil

119 total papers · 4.3k total citations
40 papers, 1.6k citations indexed

About

Danny N. Khalil is a scholar working on Oncology, Hepatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Danny N. Khalil has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 11 papers in Hepatology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Danny N. Khalil's work include Cancer Immunotherapy and Biomarkers (17 papers), CAR-T cell therapy research (13 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Danny N. Khalil is often cited by papers focused on Cancer Immunotherapy and Biomarkers (17 papers), CAR-T cell therapy research (13 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Danny N. Khalil collaborates with scholars based in United States, Italy and France. Danny N. Khalil's co-authors include Jedd D. Wolchok, Eric L. Smith, Renier J. Brentjens, Ghassan K. Abou‐Alfa, James J. Harding, Imane El Dika, Taha Merghoub, Eileen M. O’Reilly, Luís Felipe Campesato and Luca Fabris and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Danny N. Khalil

37 papers receiving 1.6k citations

Hit Papers

The future of cancer trea... 2016 2026 2019 2022 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danny N. Khalil 944 635 408 270 269 40 1.6k
Won Jin Ho 1.3k 1.4× 614 1.0× 598 1.5× 338 1.3× 281 1.0× 57 2.1k
Huaxiang Xu 996 1.1× 656 1.0× 729 1.8× 279 1.0× 181 0.7× 54 2.1k
Weiheng Zhao 1.1k 1.1× 476 0.7× 711 1.7× 421 1.6× 242 0.9× 29 1.9k
Christopher L. Wolfgang 1.6k 1.7× 752 1.2× 399 1.0× 271 1.0× 133 0.5× 61 2.0k
Matthew W. Vanneman 948 1.0× 901 1.4× 550 1.3× 219 0.8× 249 0.9× 35 1.9k
Antonella Argentiero 777 0.8× 397 0.6× 585 1.4× 323 1.2× 127 0.5× 48 1.6k
Angela Vasaturo 894 0.9× 624 1.0× 391 1.0× 243 0.9× 201 0.7× 26 1.6k
Meng Xu 590 0.6× 1.0k 1.6× 508 1.2× 193 0.7× 143 0.5× 48 1.9k
Jianguo Wang 592 0.6× 594 0.9× 1.1k 2.6× 200 0.7× 307 1.1× 48 2.0k
Veronica Steri 818 0.9× 703 1.1× 784 1.9× 202 0.7× 116 0.4× 34 1.8k

Countries citing papers authored by Danny N. Khalil

Since Specialization
Citations

This map shows the geographic impact of Danny N. 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 Danny N. Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny N. Khalil more than expected).

Fields of papers citing papers by Danny N. Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny N. 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 Danny N. Khalil. The network helps show where Danny N. Khalil may publish in the future.

Co-authorship network of co-authors of Danny N. Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Danny N. Khalil. A scholar is included among the top collaborators of Danny N. 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 Danny N. Khalil. Danny N. Khalil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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