Marguerite Adriaanse

982 citations
5 papers · 65 indexed · h-index 4
Topics
COVID-19 Clinical Research Studies (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)vaccines and immunoinformatics approaches (1 paper)

In The Last Decade

Marguerite Adriaanse

5 papers receiving 65 citations

Peers

Marguerite Adriaanse
Comparison fields: 5 of 16
  • Infectious Diseases 63
  • Molecular Biology 19
  • Immunology 19
  • Neurology 11
  • Internal Medicine 9
Replace Camille R. Mazurek with:
Camille R. Mazurek United States
Sango Skelem United States
Mathilda Mennen United States
Richard Baguma South Africa
Ana Jimena Pavlovitch-Bedzyk United States
Amkele Ngomti South Africa
Ka-Li Zhu China
Eric Wang United States
Robert C. Patio United States
Chantal Morrisseau Canada
Marguerite Adriaanse relative to Camille R. Mazurek United States Camille R. Mazurek's profile →
Citations per field
00.5×1.6×
Camille R. Mazurek · 1×
Citations per year

Countries citing papers authored by Marguerite Adriaanse

Since Specialization
Citations

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

Fields of papers citing papers by Marguerite Adriaanse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marguerite Adriaanse

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 29
2 2
3 4
4 25
5 5

About Marguerite Adriaanse

Marguerite Adriaanse is a scholar working on Infectious Diseases, Internal Medicine and Modeling and Simulation, having authored 5 papers that have together received 65 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (63 citations), Internal Medicine (9 citations) and Modeling and Simulation (7 citations). Marguerite Adriaanse has collaborated with scholars based in South Africa, Canada and United States. Frequent co-authors include Amkele Ngomti, Sango Skelem, Wendy A. Burgers, Richard Baguma, Mathilda Mennen, Alessandro Sette, Roanne Keeton, Catherine Riou, Alba Grifoni and Ntobeko Ntusi. Their work appears in journals such as Cell Host & Microbe, Open Forum Infectious Diseases and Cell Reports 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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