Nathalie Clément

4.4k citations
72 papers · 2.3k indexed · h-index 28
Topics
Virus-based gene therapy research (30 papers)Viral Infectious Diseases and Gene Expression in Insects (13 papers)Lysosomal Storage Disorders Research (9 papers)

In The Last Decade

Nathalie Clément

71 papers receiving 2.3k citations

Peers

Nathalie Clément
Comparison fields: 5 of 119
  • Molecular Biology 1.4k
  • Genetics 1.1k
  • Physiology 433
  • Oncology 347
  • Epidemiology 223
Replace Enrico Moro with:
Enrico Moro Italy
Yoshiro Toyama Japan
Branko Zevnik Germany
Mario De Felice Italy
Qingxian Lu United States
Beatriz Sosa‐Pineda United States
Alexandre Blais Canada
Lauro Sumoy Spain
Maria D. Lalioti United States
Benny Motro Israel
Nathalie Clément relative to Enrico Moro Italy Enrico Moro's profile →
Citations per field
00.5×2.8×
Enrico Moro · 1×
Citations per year

Countries citing papers authored by Nathalie Clément

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Clément

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie Clément

This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Clément. A scholar is included among the top collaborators of Nathalie Clément 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 Nathalie Clément. Nathalie Clément 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 15
2 18
3 18
4 5
5 133
6 98
7
AAV5 made by rHSV complementation displays increased retinal transduction relative to AAV5 made by plasmid transfection.
1
8 79
9 9
10 34
11 111
12 79
13 16
14 36
15 4
16 72
17 1
18 7
19 15
20 13

About Nathalie Clément

Nathalie Clément is a scholar working on Genetics, Endocrine and Autonomic Systems and Molecular Biology, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (30 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers) and Lysosomal Storage Disorders Research (9 papers). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (1.4k citations) and Physiology (433 citations). Nathalie Clément has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Barry J. Byrne, Joshua C. Grieger, R. Michael Linden, Brian Cleaver, Darin J. Falk, Magalie Penaud‐Budloo, Eduard Ayuso, Achille François, Thomas J. Conlon and Cathryn Mah. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and The EMBO Journal.

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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