Yamina Hamel

840 citations
23 papers · 516 · h-index 14

Impact in

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 3
    • Virus-based gene therapy research 5

Yamina Hamel

22 papers receiving 511 citations

Peers

Yamina Hamel
Comparison fields: 5 of 65
  • Immunology 174
  • Clinical Biochemistry 44
  • Dermatology 56
  • Biochemistry 43
  • Genetics 112
Replace Vidalba Rocher-Ros with:
Vidalba Rocher-Ros United Kingdom
H. R. Waterham Netherlands
Dongxia Ma China
Mathias Drach Austria
Yu Wakabayashi Japan
Sahoko Morinobu Japan
Canan Cacına Türkiye
Tomoko Ota Japan
Sybille Schmid Germany
Veronika Lang Germany
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Citations per field
00.5×4.4×
Vidalba Rocher-Ros · 1×
Citations per year

Countries citing papers authored by Yamina Hamel

Since Specialization
Citations

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

Fields of papers citing papers by Yamina Hamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 201369
3 201549
4 201246
5 200644
6 200238
7 200121
8 201420
9 201419
10 200818
11 201815
12 200815
13 201714
14 202114
15 201713
16 200212
17 200312
18 201610
19 19996
20 20045

About Yamina Hamel

Yamina Hamel is a scholar working on Immunology, Genetics, Molecular Biology, Epidemiology and Surgery, having authored 23 papers that have together received 516 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Immunotherapy and Immune Responses (3 papers), Muscle metabolism and nutrition (3 papers), Nuclear Structure and Function (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Immunology (174 citations), Clinical Biochemistry (44 citations), Dermatology (56 citations), Biochemistry (43 citations) and Genetics (112 citations). Yamina Hamel has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Pascale de Lonlay, Chris Ottolenghi, Florence Habarou, Asmaa Mamoune, Marina Cavazzana, Alain Fischer, François‐Xavier Mauvais, Salima Hacein‐Bey, Marine Madrange and Norma B. Romero. Their work appears in journals such as Journal of Investigative Dermatology, Human Gene Therapy, Journal of Inherited Metabolic Disease, Orphanet Journal of Rare Diseases and Molecular Genetics and Metabolism.

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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