Farah Khalil

2.0k citations
38 papers · 1.3k · h-index 14

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

Farah Khalil

37 papers receiving 1.3k citations

Peers

Farah Khalil
Comparison fields: 5 of 104
  • Oncology 545
  • Immunology 386
  • Physiology 76
  • Biological Psychiatry 37
  • Health Informatics 20
Replace Wantao Wu with:
Wantao Wu China
Mariaelena Capone Italy
Soizic Garaud Belgium
Xinjuan Fan China
Amanda Khuong United States
Xinpei Deng China
Marieta Toma Germany
Xuejin Ou China
Yuhui Tang China
Bing Liao China
Farah Khalil relative to Wantao Wu China Wantao Wu's profile →
Citations per field
00.5×
Wantao Wu · 1×
Citations per year

Countries citing papers authored by Farah Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Farah Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Farah 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 Farah Khalil Line = papers co-authored together Farah Khalil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011286
2 2019198
3 2014194
4 201790
5 201382
6 201374
7 200870
8 201542
9 201636
10 201731
11 201829
12 201827
13 201519
14 200514
15 202113
16
Immunohistochemical expression of Bax and Bcl-2 in penile carcinoma.
200513
17 201712
18 200811
19 20049
20 20079

About Farah Khalil

Farah Khalil is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (2 papers), Glycosylation and Glycoproteins Research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (545 citations), Immunology (386 citations), Physiology (76 citations), Biological Psychiatry (37 citations) and Health Informatics (20 citations). Farah Khalil has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Hatem Soliman, Scott Antonia, Domenico Coppola, Timothy J. Yeatman, James J. Mulé, Andrey Loboda, Michael Nebozhyn, Hongyue Dai, Soner Altiok and Shohreh Dickinson. Their work appears in journals such as Journal of Cutaneous Pathology, Nature Machine Intelligence, Oncotarget, Journal of Clinical Oncology and American Journal of Dermatopathology.

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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