Ria Lassaunière

67 total papers · 1.6k total citations
33 papers, 436 citations indexed

About

Ria Lassaunière is a scholar working on Infectious Diseases, Immunology and Virology. According to data from OpenAlex, Ria Lassaunière has authored 33 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 12 papers in Immunology and 8 papers in Virology. Recurrent topics in Ria Lassaunière's work include SARS-CoV-2 and COVID-19 Research (15 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and HIV Research and Treatment (8 papers). Ria Lassaunière is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (15 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and HIV Research and Treatment (8 papers). Ria Lassaunière collaborates with scholars based in Denmark, South Africa and United States. Ria Lassaunière's co-authors include Marietjie Venter, Caroline T. Tiemessen, Anders Fomsgaard, Morten Rasmussen, Charlotta Polacek, Anders Frische, Lasse Boding, Susanne Gjørup Sækmose, Sharon Shalekoff and Kåre Mølbak and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ria Lassaunière

29 papers receiving 430 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ria Lassaunière	260	130	79	58	55	33	436
Clare Burn Aschner	202 0.8×	222 1.7×	104 1.3×	44 0.8×	59 1.1×	16	463
Christine Dahlke	275 1.1×	110 0.8×	77 1.0×	127 2.2×	37 0.7×	30	471
Raj Kalkeri	336 1.3×	135 1.0×	36 0.5×	88 1.5×	36 0.7×	32	461
Vanessa M. Cowton	154 0.6×	195 1.5×	97 1.2×	56 1.0×	47 0.9×	18	391
Christina B. Karsten	236 0.9×	145 1.1×	139 1.8×	62 1.1×	32 0.6×	19	446
Ali Zhang	196 0.8×	136 1.0×	130 1.6×	143 2.5×	19 0.3×	25	477
Janine Michel	193 0.7×	93 0.7×	52 0.7×	118 2.0×	12 0.2×	38	401
Tamarand L. Darling	337 1.3×	83 0.6×	127 1.6×	66 1.1×	47 0.9×	16	443
Emma Bentley	282 1.1×	82 0.6×	30 0.4×	110 1.9×	37 0.7×	24	445
Seyed Dawood Mousavi Nasab	291 1.1×	120 0.9×	36 0.5×	34 0.6×	35 0.6×	33	489

Countries citing papers authored by Ria Lassaunière

Since Specialization

Citations

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

Fields of papers citing papers by Ria Lassaunière

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ria Lassaunière

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

All Works

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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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