Christine d’Oliveira

1.4k citations
20 papers · 1.2k indexed · h-index 16
Topics
Vector-borne infectious diseases (9 papers)Insect symbiosis and bacterial influences (5 papers)Virus-based gene therapy research (4 papers)

In The Last Decade

Christine d’Oliveira

20 papers receiving 1.1k citations

Peers

Christine d’Oliveira
Comparison fields: 5 of 80
  • Parasitology 667
  • Molecular Biology 387
  • Ecology, Evolution, Behavior and Systematics 368
  • Infectious Diseases 317
  • Insect Science 282
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Citations per field
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Citations per year

Countries citing papers authored by Christine d’Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Christine d’Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine d’Oliveira. 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 Christine d’Oliveira. The network helps show where Christine d’Oliveira may publish in the future.

Co-authorship network of co-authors of Christine d’Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Christine d’Oliveira. A scholar is included among the top collaborators of Christine d’Oliveira 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 Christine d’Oliveira. Christine d’Oliveira 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
#WorkIndexed citations
1
Covalent attachment of an NLS-peptide to linear dna does not enhance transfection efficiency of cationic polymer based gene delivery systems.
12
2 32
3 82
4 4
5 11
6 47
7 18
8
d'Oliveira C, Gubbels MJ, Jongejan F, Hall R. Evaluation of recombinant sporozoite antigen SPAG-1 as a vaccine candidate against Theileria annulata by the use of different delivery systems
2
9 31
10 34
11 53
12 73
13 23
14 72
15 237
16 43
17 75
18 55
19 85
20 203

About Christine d’Oliveira

Christine d’Oliveira is a scholar working on Parasitology, Insect Science and Endocrinology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Insect symbiosis and bacterial influences (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Parasitology (667 citations), Insect Science (282 citations) and Ecology, Evolution, Behavior and Systematics (368 citations). Christine d’Oliveira has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Frans Jongejan, Patricia J. Johnson, Philippe Jacquiet, M. Habela, Brian Shiels, Jan M. Kooter, Piet Borst, F. van der Hoeven, Doris Quon and M. Müller. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Bacteriology.

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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