Daniel Tusé

1.8k total citations
29 papers, 1.4k citations indexed

About

Daniel Tusé is a scholar working on Biotechnology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Daniel Tusé has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biotechnology, 12 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Daniel Tusé's work include Transgenic Plants and Applications (16 papers), Viral gastroenteritis research and epidemiology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Daniel Tusé is often cited by papers focused on Transgenic Plants and Applications (16 papers), Viral gastroenteritis research and epidemiology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Daniel Tusé collaborates with scholars based in United States, Germany and Spain. Daniel Tusé's co-authors include Yuri Gleba, Karen A. McDonald, Anatoli Giritch, Alison A. McCormick, Ronald Levy, Laurence K. Grill, Kathleen M. Hanley, Somen Nandi, Stephen J. Garger and Monto H. Kumagai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Daniel Tusé

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Tusé United States 20 904 888 299 270 127 29 1.4k
Rima Menassa Canada 27 1.4k 1.5× 1.0k 1.2× 494 1.7× 399 1.5× 79 0.6× 69 1.9k
Elsa Arcalís Austria 22 845 0.9× 770 0.9× 519 1.7× 257 1.0× 96 0.8× 54 1.3k
Kathleen Hefferon United States 21 750 0.8× 467 0.5× 548 1.8× 112 0.4× 73 0.6× 89 1.3k
Jerica Sabotič Slovenia 24 864 1.0× 318 0.4× 478 1.6× 242 0.9× 110 0.9× 68 1.6k
Ajay Kumar India 14 613 0.7× 248 0.3× 281 0.9× 90 0.3× 83 0.7× 83 1.2k
Miguel Á. Gómez-Lim Mexico 29 1.2k 1.3× 697 0.8× 1.2k 4.2× 183 0.7× 141 1.1× 90 2.3k
Luisa Bortesi Germany 18 1.6k 1.7× 469 0.5× 1.1k 3.5× 104 0.4× 38 0.3× 23 2.1k
Sylvain Marcel United States 15 582 0.6× 511 0.6× 497 1.7× 139 0.5× 55 0.4× 17 1.0k
Seung-Moon Park South Korea 23 492 0.5× 329 0.4× 563 1.9× 91 0.3× 55 0.4× 73 1.3k
Mariana L. Fazenda United Kingdom 6 802 0.9× 264 0.3× 232 0.8× 72 0.3× 28 0.2× 6 1.2k

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-authorship network of co-authors of Daniel Tusé

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tusé. A scholar is included among the top collaborators of Daniel Tusé 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 Daniel Tusé. Daniel Tusé 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
1.
Tusé, Daniel, Joshua M. Royal, Krystal T. Hamorsky, et al.. (2022). Pharmacokinetics and Safety Studies in Rodent Models Support Development of EPICERTIN as a Novel Topical Wound-Healing Biologic for Ulcerative Colitis. Journal of Pharmacology and Experimental Therapeutics. 380(3). 162–170. 3 indexed citations
2.
Tusé, Daniel, Maria Malm, Kirsi Tamminen, et al.. (2022). Safety and immunogenicity studies in animal models support clinical development of a bivalent norovirus-like particle vaccine produced in plants. Vaccine. 40(7). 977–987. 11 indexed citations
3.
Tusé, Daniel, et al.. (2021). Process Simulation and Techno-Economic Analysis of Large-Scale Bioproduction of Sweet Protein Thaumatin II. Foods. 10(4). 838–838. 21 indexed citations
4.
Gleba, Yuri, et al.. (2019). Techno‐economic analysis of a plant‐based platform for manufacturing antimicrobial proteins for food safety. Biotechnology Progress. 36(1). e2896–e2896. 42 indexed citations
5.
Nandi, Somen, et al.. (2018). Technoeconomic Modeling of Plant-Based Griffithsin Manufacturing. Frontiers in Bioengineering and Biotechnology. 6. 102–102. 40 indexed citations
6.
Stephan, Anett, et al.. (2018). Plant-made Salmonella bacteriocins salmocins for control of Salmonella pathovars. Scientific Reports. 8(1). 4078–4078. 32 indexed citations
7.
Schulz, Steve, Anett Stephan, Simone Hahn, et al.. (2015). Broad and efficient control of major foodborne pathogenic strains of Escherichia coli by mixtures of plant-produced colicins. Proceedings of the National Academy of Sciences. 112(40). E5454–60. 57 indexed citations
8.
Tusé, Daniel, Nora Ku, Maurizio Bendandi, et al.. (2015). Clinical Safety and Immunogenicity of Tumor-Targeted, Plant-Made Id-KLH Conjugate Vaccines for Follicular Lymphoma. BioMed Research International. 2015. 1–15. 54 indexed citations
9.
Tusé, Daniel, et al.. (2014). Manufacturing Economics of Plant-Made Biologics: Case Studies in Therapeutic and Industrial Enzymes. BioMed Research International. 2014. 1–16. 134 indexed citations
10.
Gleba, Yuri, Daniel Tusé, & Anatoli Giritch. (2013). Plant Viral Vectors for Delivery by Agrobacterium. Current topics in microbiology and immunology. 375. 155–192. 130 indexed citations
11.
12.
Bendandi, Maurizio, Sylvestre Marillonnet, Romy Kandzia, et al.. (2010). Rapid, high-yield production in plants of individualized idiotype vaccines for non-Hodgkin's lymphoma. Annals of Oncology. 21(12). 2420–2427. 130 indexed citations
13.
McCormick, Alison A., et al.. (2003). Individualized human scFv vaccines produced in plants: humoral anti-idiotype responses in vaccinated mice confirm relevance to the tumor Ig. Journal of Immunological Methods. 278(1-2). 95–104. 52 indexed citations
14.
Mohagheghpour, Nahid, et al.. (2000). Synthetic Melanin Suppresses Production of Proinflammatory Cytokines. Cellular Immunology. 199(1). 25–36. 85 indexed citations
15.
Chen, Xiaoying, et al.. (1998). Oncocidin A1: a novel tubulin-binding drug with antitumor activity against human breast and ovarian carcinoma xenografts in nude mice. Biochemical Pharmacology. 56(5). 623–633. 14 indexed citations
16.
Mohagheghpour, Nahid, Marcia I. Dawson, Peter D. Hobbs, et al.. (1995). Glucans as Immunological Adjuvants. Advances in experimental medicine and biology. 383. 13–22. 21 indexed citations
17.
Prohaska, Susan, et al.. (1992). Conservation of receptor expression and phagocytic activity of murine macrophages exposed to various ultrasonic regimens in vitro. Journal of Ultrasound in Medicine. 11(2). 93–101. 2 indexed citations
18.
Prohaska, Susan, et al.. (1992). Conservation of bactericidal activity in ultrasound-exposed murine peritoneal phagocytic cells. Ultrasound in Medicine & Biology. 18(6-7). 601–606. 1 indexed citations
19.
Sugaya, Kimio, et al.. (1986). Production of acetic acid by Clostridium thermoaceticum in batch and continuous fermentations. Biotechnology and Bioengineering. 28(5). 678–683. 30 indexed citations
20.
Tusé, Daniel, et al.. (1980). Comparative activity profiles of Thielavia terrestris and Trichoderma reesei cellulases. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

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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