Jean‐Bernard Lazaro

1.9k citations
32 papers · 961 indexed · h-index 16
Topics
DNA Repair Mechanisms (16 papers)PARP inhibition in cancer therapy (11 papers)CRISPR and Genetic Engineering (6 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

Jean‐Bernard Lazaro

32 papers receiving 953 citations

Peers

Jean‐Bernard Lazaro
Comparison fields: 5 of 79
  • Molecular Biology 701
  • Oncology 385
  • Cell Biology 125
  • Cancer Research 95
  • Genetics 85
Replace Gabriela Schneider with:
Gabriela Schneider United States
Ulrike Rennefahrt Germany
Michele Pallaoro Italy
Frédéric Bienvenu France
Vanesa Lafarga Spain
David B. Ring United States
Andrea Basile Italy
Xi Song United States
S Krajewski United States
Sigurd Ørstavik Norway
Jean‐Bernard Lazaro relative to Gabriela Schneider United States Gabriela Schneider's profile →
Citations per field
00.5×1.5×2.0×
Gabriela Schneider · 1×
Citations per year

Countries citing papers authored by Jean‐Bernard Lazaro

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Bernard Lazaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Bernard Lazaro. 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 Jean‐Bernard Lazaro. The network helps show where Jean‐Bernard Lazaro may publish in the future.

Co-authorship network of co-authors of Jean‐Bernard Lazaro

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Bernard Lazaro. A scholar is included among the top collaborators of Jean‐Bernard Lazaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Bernard Lazaro. Jean‐Bernard Lazaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 5
3 1
4 36
5 71
6 19
7 44
8 103
9 8
10 17
11 45
12 55
13 44
14 84
15 10
16 9
17 127
18 12
19 2
20 20

About Jean‐Bernard Lazaro

Jean‐Bernard Lazaro is a scholar working on Oncology, Developmental Neuroscience and Virology, having authored 32 papers that have together received 961 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (16 papers), PARP inhibition in cancer therapy (11 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Oncology (385 citations), Molecular Biology (701 citations) and Cell Biology (125 citations). Jean‐Bernard Lazaro has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Anne Fernandez, Ned Lamb, J. Dirk Iglehart, Andrew B. Lassar, Peter J. Bailey, Sylvie Diriong, Jean‐Michel Bellanger, Anne Debant, Alan D. D’Andrea and Magali Kitzmann. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Genes & Development.

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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