Joé Attal

38 papers receiving 731 citations

Peers

Joé Attal
Comparison fields: 5 of 93
  • Genetics 406
  • Reproductive Medicine 56
  • Molecular Biology 465
  • Agronomy and Crop Science 54
  • Biotechnology 35
Replace S. Sasaki with:
S. Sasaki Japan
Gregory K. Fontenot United States
Usha Natraj India
Martin Plante Canada
Ya Liu China
Erika E. Büllesbach United States
L. Edward Clemens United States
Niall Glanville Finland
Patrick D. Burns United States
Joé Attal relative to S. Sasaki Japan S. Sasaki's profile →
Citations per field
00.5×2×3×3.9×
S. Sasaki · 1×
Citations per year

Countries citing papers authored by Joé Attal

Since Specialization
Citations

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

Fields of papers citing papers by Joé Attal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196989
2 199682
3 199977
4 199957
5 196740
6 199940
7 199637
8 199232
9 201631
10
Effect of intercistronic length on internal ribosome entry site (IRES) efficiency in bicistronic mRNA.
199925
11 200125
12 200224
13
Efficiency of introns from various origins in fish cells.
199323
14 200121
15 199520
16 200320
17 200319
18 196716
19 196814
20 199813

About Joé Attal

Joé Attal is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Cardiology and Cardiovascular Medicine and Reproductive Medicine, having authored 39 papers that have together received 786 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (18 papers), CRISPR and Genetic Engineering (10 papers), Viral Infections and Immunology Research (6 papers), RNA and protein synthesis mechanisms (6 papers), Xenotransplantation and immune response (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (4 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Genetics (406 citations), Reproductive Medicine (56 citations), Molecular Biology (465 citations), Agronomy and Crop Science (54 citations) and Biotechnology (35 citations). Joé Attal has collaborated with scholars based in France, United States and Ireland. Frequent co-authors include L. M. Houdebine, M.C. Théron, Claudine PUISSANT, Kristen B. Eik‐Nes, Louis‐Marie Houdebine, Céline Viglietta, Louis-Marie Houdebine, Sylvie Rival‐Gervier, Dominique Thépot and Benoı̂t Malassagne. Their work appears in journals such as Transgenic Research, Analytical Biochemistry, Journal of Biotechnology, Molecular Biology Reports and Gene.

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.

Explore authors with similar magnitude of impact