Isabelle Rivière

26.1k citations
157 papers · 12.2k indexed · 7 hit papers · h-index 46
Topics
CAR-T cell therapy research (113 papers)Virus-based gene therapy research (38 papers)CRISPR and Genetic Engineering (29 papers)
Partner nations
United StatesItalyFrance

In The Last Decade

Isabelle Rivière

155 papers receiving 12.0k citations

Hit Papers

Long-Term Follow-up of CD19...20022026201020182018201320022017200350010001.5k

Peers

Isabelle Rivière
Comparison fields: 5 of 135
  • Oncology 9.2k
  • Immunology 4.3k
  • Molecular Biology 4.2k
  • Genetics 3.7k
  • Biomedical Engineering 2.6k
Replace Marcela V. Maus with:
Marcela V. Maus United States
Steven A. Feldman United States
Michael Kalos United States
Laurence J.N. Cooper United States
Simon F. Lacey United States
J. Joseph Melenhorst United States
Stephen Gottschalk United States
Crystal L. Mackall United States
Barbara Savoldo United States
Isabelle Rivière relative to Marcela V. Maus United States Marcela V. Maus's profile →
Citations per field
00.5×1.5×
Marcela V. Maus · 1×
Citations per year

Countries citing papers authored by Isabelle Rivière

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Rivière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Rivière

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Rivière. A scholar is included among the top collaborators of Isabelle Rivière 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 Isabelle Rivière. Isabelle Rivière 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 2
2 84
3 1
4 99
5 49
6 67
7 44
8 3
9 20
10 3
11 1
12 1
13
The Basic Principles of Chimeric Antigen Receptor Designbreakdown →
1146
14 49
15 439
16 6
17 30
18 93
19 16
20
Genetic treatment of severe hemoglobinopathies
1

About Isabelle Rivière

Isabelle Rivière is a scholar working on Oncology, Immunology and Genetics, having authored 157 papers that have together received 12.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (113 papers), Virus-based gene therapy research (38 papers) and CRISPR and Genetic Engineering (29 papers). The work is most often cited by research in Oncology (9.2k citations), Immunology (4.3k citations) and Genetics (3.7k citations). Isabelle Rivière has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Michel Sadelain, Renier J. Brentjens, Xiuyan Wang, Stanley R. Riddell, Jae H. Park, Gertrude Gunset, John Maher, Brigitte Sénéchal, Marco L. Davila and Kevin J. Curran. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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