J. Lahmar

2.2k citations
15 papers · 340 · h-index 7

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 12
    • Lung Cancer Research Studies 4
    • Pancreatic and Hepatic Oncology Research 2
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Lung Cancer Treatments and Mutations 7
    • Ferroptosis and cancer prognosis 2

J. Lahmar

15 papers receiving 335 citations

Peers

J. Lahmar
Comparison fields: 5 of 28
  • Oncology 305
  • Pulmonary and Respiratory Medicine 194
  • Immunology 72
  • Radiology, Nuclear Medicine and Imaging 66
  • Cancer Research 31
Replace Mélodie Tazdait with:
Mélodie Tazdait France
Grant Toland United States
Miao Huang China
Lyudmila Zhukova Russia
Zhongmin Maxwell Wang Australia
Myriam Taibi United States
Catherine Dubos‐Arvis France
Jiaoyue Jin China
Ilze Bāra United States
Mariela Blum‐Murphy United States
J. Lahmar relative to Mélodie Tazdait France Mélodie Tazdait's profile →
Citations per field
00.5×2.6×
Mélodie Tazdait · 1×
Citations per year

Countries citing papers authored by J. Lahmar

Since Specialization
Citations

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

Fields of papers citing papers by J. Lahmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017244
2 201719
3 201913
4 201612
5 201712
6 20179
7 20169
8 20175
9 20174
10 20174
11 20173
12 20172
13 20172
14 20161
15 20171

About J. Lahmar

J. Lahmar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 15 papers that have together received 340 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Research Studies (4 papers), Cancer Genomics and Diagnostics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Immunotherapy and Immune Responses (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Oncology (305 citations), Pulmonary and Respiratory Medicine (194 citations), Immunology (72 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Cancer Research (31 citations). J. Lahmar has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Benjamin Besse, Laura Mezquita, Caroline Caramella, David Planchard, Roberto Ferrara, Anas Gazzah, Jean‐Charles Soria, François Bidault, Mélodie Tazdait and Aurélien Marabelle. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Thoracic Oncology and European Journal of Cancer.

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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