Emmanuel Khalifa

1.2k citations
15 papers · 321 · h-index 7

Impact in

Papers in

Emmanuel Khalifa

15 papers receiving 316 citations

Peers

Emmanuel Khalifa
Comparison fields: 5 of 43
  • Obstetrics and Gynecology 55
  • Oral Surgery 37
  • Pulmonary and Respiratory Medicine 163
  • Oncology 112
  • Cancer Research 56
Replace Vanessa Vanspauwen with:
Vanessa Vanspauwen Belgium
Mariola Iliszko Poland
Atsuko Saito Japan
Ken-ichi Kawaguchi Japan
Helena Willén Sweden
Wei-Qi Sheng China
Maria J. Merino United States
Yasuhiro Yamanaka Japan
Birthe Heitkötter Germany
Chungsu Hwang South Korea
Emmanuel Khalifa relative to Vanessa Vanspauwen Belgium Vanessa Vanspauwen's profile →
Citations per field
00.5×6.2×
Vanessa Vanspauwen · 1×
Citations per year

Countries citing papers authored by Emmanuel Khalifa

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Khalifa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201895
2 201869
3 201944
4 201933
5 201630
6 201216
7 201710
8 20176
9 20226
10 20235
11 20172
12 20232
13 20241
14 20241
15 20241

About Emmanuel Khalifa

Emmanuel Khalifa is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Sarcoma Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Uterine Myomas and Treatments (2 papers), Hereditary Neurological Disorders (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Obstetrics and Gynecology (55 citations), Oral Surgery (37 citations), Pulmonary and Respiratory Medicine (163 citations), Oncology (112 citations) and Cancer Research (56 citations). Emmanuel Khalifa has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Antoîne Italiano, Yec’han Laizet, Carlo Lucchesi, Maxime Brunet, Antoine Italiano, Christine Chomienne, Simone Mathoulin‐Pélissier, Laétitia Mayeur, Gaëlle Pérot and Valérie Velasco. Their work appears in journals such as Annals of Oncology, Modern Pathology, European Journal of Cancer, Journal of Clinical Pathology and Frontiers in Oncology.

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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