Danielle Morelle

664 total citations
6 papers, 98 citations indexed

About

Danielle Morelle is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Danielle Morelle has authored 6 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Molecular Biology. Recurrent topics in Danielle Morelle's work include Malaria Research and Control (3 papers), vaccines and immunoinformatics approaches (2 papers) and Mosquito-borne diseases and control (2 papers). Danielle Morelle is often cited by papers focused on Malaria Research and Control (3 papers), vaccines and immunoinformatics approaches (2 papers) and Mosquito-borne diseases and control (2 papers). Danielle Morelle collaborates with scholars based in Belgium, United States and France. Danielle Morelle's co-authors include Lawrence Segal, Nathalie Garçon, Éric Destexhe, Ripley W. Ballou, Navin Venkatraman, Georgina Bowyer, Katie Ewer, Adrian V. S. Hill, Tommy Rampling and Thomas L. Martin and has published in prestigious journals such as Frontiers in Immunology, Vaccine and Naunyn-Schmiedeberg s Archives of Pharmacology.

In The Last Decade

Danielle Morelle

6 papers receiving 96 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Morelle Belgium 6 49 40 29 23 15 6 98
Gregg Lucksinger United States 5 29 0.6× 63 1.6× 32 1.1× 27 1.2× 13 0.9× 5 109
Hedvig Glans Sweden 8 46 0.9× 49 1.2× 82 2.8× 36 1.6× 31 2.1× 13 177
Duncan Bellamy United Kingdom 8 34 0.7× 62 1.6× 59 2.0× 23 1.0× 24 1.6× 15 124
Natasha KC United States 4 50 1.0× 15 0.4× 26 0.9× 59 2.6× 24 1.6× 7 119
Núria Pedreño-López United States 7 45 0.9× 28 0.7× 55 1.9× 34 1.5× 15 1.0× 12 125
Fernando Ramos Lopez United Kingdom 5 16 0.3× 28 0.7× 20 0.7× 11 0.5× 19 1.3× 6 58
Daniel Jenkin United Kingdom 5 16 0.3× 33 0.8× 51 1.8× 16 0.7× 20 1.3× 10 91
Catherine Mair United Kingdom 6 51 1.0× 68 1.7× 46 1.6× 6 0.3× 14 0.9× 7 130
Iris Scherwitzl United Kingdom 5 31 0.6× 29 0.7× 45 1.6× 49 2.1× 27 1.8× 6 114
Berit Grevstad Denmark 7 40 0.8× 22 0.6× 17 0.6× 46 2.0× 14 0.9× 8 111

Countries citing papers authored by Danielle Morelle

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Morelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Morelle

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Morelle. A scholar is included among the top collaborators of Danielle Morelle 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 Danielle Morelle. Danielle Morelle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Moon, James E., Jason A. Regules, Muriel Debois, et al.. (2021). A phase IIA extension study evaluating the effect of booster vaccination with a fractional dose of RTS,S/AS01E in a controlled human malaria infection challenge. Vaccine. 39(43). 6398–6406. 7 indexed citations
2.
Bowyer, Georgina, Tommy Rampling, Navin Venkatraman, et al.. (2018). CXCR3+ T Follicular Helper Cells Induced by Co-Administration of RTS,S/AS01B and Viral-Vectored Vaccines Are Associated With Reduced Immunogenicity and Efficacy Against Malaria. Frontiers in Immunology. 9. 1660–1660. 28 indexed citations
3.
Segal, Lawrence, Sandrine Wouters, Danielle Morelle, et al.. (2015). Non‐clinical safety and biodistribution of AS03‐adjuvanted inactivated pandemic influenza vaccines. Journal of Applied Toxicology. 35(12). 1564–1576. 27 indexed citations
4.
Segal, Lawrence, et al.. (2015). Non‐clinical safety assessment of single and repeated intramuscular administration of a human papillomavirus‐16/18 vaccine in rabbits and rats. Journal of Applied Toxicology. 35(12). 1577–1585. 7 indexed citations
5.
Segal, Lawrence, et al.. (2014). Local tolerance and systemic toxicity of single and repeated intramuscular administrations of two different formulations of the RTS,S malaria candidate vaccine in rabbits. Regulatory Toxicology and Pharmacology. 71(2). 269–278. 11 indexed citations
6.
Lorin, Clarisse, Lawrence Segal, Johann Mols, et al.. (2012). Toxicology, biodistribution and shedding profile of a recombinant measles vaccine vector expressing HIV-1 antigens, in cynomolgus macaques. Naunyn-Schmiedeberg s Archives of Pharmacology. 385(12). 1211–1225. 18 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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