Imran Lahmar

432 citations
4 papers · 10 · h-index 3

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Clostridium difficile and Clostridium perfringens research
    • COVID-19 Clinical Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • COVID-19 and healthcare impacts 1
    • Inflammatory Biomarkers in Disease Prognosis 1
    • SARS-CoV-2 and COVID-19 Research 1
    • COVID-19 Clinical Research Studies 1
    • Clostridium difficile and Clostridium perfringens research 1

Imran Lahmar

4 papers receiving 10 citations

Peers

Imran Lahmar
Comparison fields: 5 of 11
  • Infectious Diseases 6
  • Oncology 5
  • Obstetrics and Gynecology 1
  • Health 1
  • Ophthalmology 1
Replace Priscilla de Aquino Martins with:
Priscilla de Aquino Martins Brazil
Zachary Girvin United States
Danyal Ladha Canada
Curtis Sheldon United States
Gabriel K. Armijo United States
Ludovica Cavallo Italy
Yongcong Tan China
Federica Farolfi Italy
George Hills United Kingdom
Corrado Di Benedetto Italy
Imran Lahmar relative to Priscilla de Aquino Martins Brazil Priscilla de Aquino Martins's profile →
Citations per field
00.5×1.5×2.5×
Priscilla de Aquino Martins · 1×
Citations per year

Countries citing papers authored by Imran Lahmar

Since Specialization
Citations

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

Fields of papers citing papers by Imran Lahmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1 20235
2 20232
3 20232
4 20241

About Imran Lahmar

Imran Lahmar is a scholar working on Oncology, Infectious Diseases, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 10 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Gastrointestinal motility and disorders (1 paper), Cancer Research and Treatments (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Infectious Diseases (6 citations), Oncology (5 citations), Obstetrics and Gynecology (1 citation), Health (1 citation) and Ophthalmology (1 citation). Imran Lahmar has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Laurence Zitvogel, Nicola Segata, Laurence Albigès, Caroline Flament, Makoto Miyara, Camille Bigenwald, Pierre Ly, Vincent Ribrag, Tarek Assi and Guido Kroemer. Their work appears in journals such as Journal of Clinical Oncology, OncoImmunology and Regular and Young Investigator Award Abstracts.

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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