Alexandre Valent

2.0k citations
7 papers · 1.7k · 1 hit paper · h-index 5

Impact in

Papers in

    • DNA Repair Mechanisms 2
    • Cell death mechanisms and regulation 2
    • Ubiquitin and proteasome pathways 1
    • Cancer-related Molecular Pathways 2

Alexandre Valent

7 papers receiving 1.6k citations

Alexandre Valent's Hit Papers

Monoallelically Expressed Gene Related to p53 at 1p36, a Region Frequently Deleted in Neuroblastoma and Other Human Cancers 1997 · 1.4k citations
1.4k0+9+19Years since publication4008001.2k

Peers

Alexandre Valent
Comparison fields: 5 of 79
  • Biotechnology 451
  • Oncology 1.1k
  • Molecular Biology 1.1k
  • Cancer Research 211
  • Cell Biology 160
Replace Christine A. Jost with:
Christine A. Jost United States
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Jiri Bartek Denmark
Connie Chao United States
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Alexandre Valent relative to Christine A. Jost United States Christine A. Jost's profile →
Citations per field
00.5×1.5×
Christine A. Jost · 1×
Citations per year

Countries citing papers authored by Alexandre Valent

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Valent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Monoallelically Expressed Gene Related to p53 at 1p36, a Region Frequently Deleted in Neuroblastoma and Other Human Cancers
Hit paper breakdown →
19971406
2 2006159
3 200578
4 200311
5 20124
6 20093
7
Variant forms of Philadelphia translocation in two patients with chronic myeloid leukemia.
19961

About Alexandre Valent

Alexandre Valent is a scholar working on Molecular Biology, Oncology, Surgery, Neurology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Cell death mechanisms and regulation (2 papers), Cancer-related Molecular Pathways (2 papers), Ubiquitin and proteasome pathways (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Immunotherapy and Immune Responses (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Biotechnology (451 citations), Oncology (1.1k citations), Molecular Biology (1.1k citations), Cancer Research (211 citations) and Cell Biology (160 citations). Alexandre Valent has collaborated with scholars based in France, United States and Senegal. Frequent co-authors include Mourad Kaghad, Frank McKeon, Laurent Créancier, Annie Yang, H Bonnet, Daniel Caput, Jean-Michel Lélias, Pascale Chalon, Pascual Ferrara and A Minty. Their work appears in journals such as International Journal of Cancer, Cancer Research, The EMBO Journal, Cell and Bulletin du 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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