J. Attal

908 citations
32 papers · 672 · h-index 16

Impact in

Papers in

    • Animal Genetics and Reproduction 15
    • CRISPR and Genetic Engineering 8
    • RNA and protein synthesis mechanisms 4

J. Attal

32 papers receiving 639 citations

Peers

J. Attal
Comparison fields: 5 of 89
  • Genetics 343
  • Reproductive Medicine 53
  • Molecular Biology 402
  • Agronomy and Crop Science 56
  • Biotechnology 30
Replace Walter Bagdon with:
Walter Bagdon United States
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Martin Plante Canada
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J. Attal relative to Walter Bagdon United States Walter Bagdon's profile →
Citations per field
00.5×6.2×
Walter Bagdon · 1×
Citations per year

Countries citing papers authored by J. Attal

Since Specialization
Citations

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

Fields of papers citing papers by J. Attal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196974
2 199671
3 199966
4 199950
5 199938
6 199636
7 196734
8 199232
9 201624
10 200124
11
Efficiency of introns from various origins in fish cells.
199323
12 200221
13
Effect of intercistronic length on internal ribosome entry site (IRES) efficiency in bicistronic mRNA.
199921
14 200120
15 199519
16 200317
17 200315
18 196713
19 199812
20 196812

About J. Attal

J. Attal is a scholar working on Genetics, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 32 papers that have together received 672 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (15 papers), CRISPR and Genetic Engineering (8 papers), Xenotransplantation and immune response (5 papers), Viral Infections and Immunology Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Sperm and Testicular Function (3 papers), Reproductive Physiology in Livestock (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Genetics (343 citations), Reproductive Medicine (53 citations), Molecular Biology (402 citations), Agronomy and Crop Science (56 citations) and Biotechnology (30 citations). J. Attal has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include L. M. Houdebine, M.C. Théron, C. 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, Journal of Biotechnology, Analytical Biochemistry, Gene and Endocrinology.

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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