Charlene Willis

1.6k total citations
33 papers, 1.2k citations indexed

About

Charlene Willis is a scholar working on Parasitology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Charlene Willis has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Parasitology, 8 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Charlene Willis's work include Parasites and Host Interactions (8 papers), Dermatological diseases and infestations (7 papers) and Bird parasitology and diseases (6 papers). Charlene Willis is often cited by papers focused on Parasites and Host Interactions (8 papers), Dermatological diseases and infestations (7 papers) and Bird parasitology and diseases (6 papers). Charlene Willis collaborates with scholars based in Australia, Malaysia and Sweden. Charlene Willis's co-authors include Nicholas Bellamy, Cecilia Wilson, Joan Hendrikz, Sean Lybrand, Susan E. Tett, Robyne Le Brocque, Robert Poulin, Katja Fischer, Christine E. Staatz and Paul J. Taylor and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Charlene Willis

33 papers receiving 1.1k citations

Peers

Charlene Willis
Comparison fields: 5 of 132
  • Safety, Risk, Reliability and Quality 275
  • Infectious Diseases 253
  • Transplantation 226
  • Parasitology 216
  • Public Health, Environmental and Occupational Health 160
Replace Shaul Sofer with:
Shaul Sofer Israel
Caroline Walker New Zealand
Aleksandra Ignjatović Serbia
Charles E. Wright United States
Jennifer M. Ross United States
J M Galama Netherlands
Ting Jia China
S. K. Agarwal India
J. C. Jager Netherlands
Marek Sawczuk Poland
Shaul Sofer Israel View profile →
Citations per field, relative to Charlene Willis
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Citations per year, relative to Charlene Willis
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Countries citing papers authored by Charlene Willis

Since Specialization
Citations

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

Fields of papers citing papers by Charlene Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlene Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Charlene Willis. A scholar is included among the top collaborators of Charlene Willis 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 Charlene Willis. Charlene Willis 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
# Work Indexed citations
1 1
2 8
3 6
4 11
5 9
6 19
7 12
8 29
9 60
10 29
11 15
12 90
13 64
14 126
15 27
16 81
17 74
18 17
19 53
20 54

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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