Daniel Tusé

1.9k citations
30 papers · 1.5k · h-index 20

Impact in

  • Biotechnology top 0.2%
    • Transgenic Plants and Applications
    • Plant tissue culture and regeneration
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

Daniel Tusé

30 papers receiving 1.4k citations

Peers

Daniel Tusé
Comparison fields: 5 of 95
  • Biotechnology 1.0k
  • Molecular Biology 1.0k
  • Immunology 283
  • Plant Science 316
  • Endocrinology 42
Replace Rima Menassa with:
Rima Menassa Canada
Rachel Kerina Chikwamba South Africa
Elsa Arcalís Austria
Pascal M. W. Drake United Kingdom
Miguel Á. Gómez-Lim Mexico
Elibio Leopoldo Rech Brazil
Ilkka Palva Finland
Akira Taketo Japan
Sylvain Marcel United States
Robert Leah Denmark
Daniel Tusé relative to Rima Menassa Canada Rima Menassa's profile →
Citations per field
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Rima Menassa · 1×
Citations per year

Countries citing papers authored by Daniel Tusé

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tusé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999223
2 2008156
3 2010149
4 2014147
5 2013146
6 200089
7 201561
8 202061
9 201559
10 200355
11 201950
12 198349
13 201846
14 201835
15 201934
16 198634
17 202124
18 199522
19 198521
20 201121

About Daniel Tusé

Daniel Tusé is a scholar working on Biotechnology, Food Science, Infectious Diseases, Molecular Biology and Oncology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (16 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Plant tissue culture and regeneration (3 papers), Animal Genetics and Reproduction (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Biotechnology (1.0k citations), Molecular Biology (1.0k citations), Immunology (283 citations), Plant Science (316 citations) and Endocrinology (42 citations). Daniel Tusé has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Yuri Y. Gleba, Karen A. McDonald, Anatoli Giritch, Alison A. McCormick, Ronald Levy, Laurence K. Grill, Kathleen M. Hanley, Somen Nandi, Stephen J. Garger and Thomas H. Turpen. Their work appears in journals such as Frontiers in Plant Science, Proceedings of the National Academy of Sciences, BioMed Research International, Frontiers in Bioengineering and Biotechnology and Journal of Ultrasound in Medicine.

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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