C. Lagrou

1.5k citations
19 papers · 1.3k · h-index 14

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 5
    • Glycosylation and Glycoproteins Research 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Virus-based gene therapy research 5

C. Lagrou

19 papers receiving 1.2k citations

Peers

C. Lagrou
Comparison fields: 5 of 72
  • Immunology 286
  • Animal Science and Zoology 144
  • Molecular Biology 880
  • Genetics 329
  • Cancer Research 166
Replace J A Lautenberger with:
J A Lautenberger United States
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Citations per field
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Citations per year

Countries citing papers authored by C. Lagrou

Since Specialization
Citations

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

Fields of papers citing papers by C. Lagrou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1983393
2 1979355
3 199893
4 198374
5 199272
6 198048
7 199047
8 198133
9 199232
10 199232
11 198630
12 198625
13
The 5' part of the human H19 RNA contains cis-acting elements hampering its translatability.
199621
14 198317
15 19848
16
A single amino-acid substitution in the DNA-binding domain of the myb oncogene confers a thermolabile phenotype to E26-transformed myeloid cells.
19896
17
[Modifications of sialylation in BHK 21/C13 cells after in vitro transfection by c-Ha-ras human oncogene].
19914
18
The human c-myc exon 1 product: preparation of antisera and analysis of its expression.
19873
19 19941

About C. Lagrou

C. Lagrou is a scholar working on Molecular Biology, Genetics, Cell Biology, Immunology and Infectious Diseases, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), Virus-based gene therapy research (5 papers), Glycosylation and Glycoproteins Research (3 papers), interferon and immune responses (2 papers), HIV/AIDS drug development and treatment (2 papers), Herpesvirus Infections and Treatments (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology (286 citations), Animal Science and Zoology (144 citations), Molecular Biology (880 citations), Genetics (329 citations) and Cancer Research (166 citations). C. Lagrou has collaborated with scholars based in France, United States and Germany. Frequent co-authors include D. Stéhelin, Simon Saule, Martine F. Roussel, Jean‐Luc Coll, Anne Gégonne, Dominique Leprince, Thomas Graf, Hartmut Beug, Corinne Rommens and C. de Taisne. Their work appears in journals such as The EMBO Journal, Journal of Virology, Experimental Cell Research, Nature and Oncogene.

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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