Wendy Chaka

411 total citations
10 papers, 336 citations indexed

About

Wendy Chaka is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Wendy Chaka has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 4 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Wendy Chaka's work include Fungal Infections and Studies (7 papers), Nail Diseases and Treatments (4 papers) and Antifungal resistance and susceptibility (3 papers). Wendy Chaka is often cited by papers focused on Fungal Infections and Studies (7 papers), Nail Diseases and Treatments (4 papers) and Antifungal resistance and susceptibility (3 papers). Wendy Chaka collaborates with scholars based in Netherlands, Zimbabwe and United States. Wendy Chaka's co-authors include A F Verheul, Jelle Scharringa, I. M. Hoepelman, Robert Cherniak, Andy I. M. Hoepelman, H. Snippe, J. Verhoef, J. Verhoef, J. Verhoef and P. Mason and has published in prestigious journals such as The Journal of Immunology, The Journal of Infectious Diseases and Infection and Immunity.

In The Last Decade

Wendy Chaka

10 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wendy Chaka Netherlands 8 235 169 110 36 28 10 336
A Tabuni United States 8 330 1.4× 265 1.6× 145 1.3× 37 1.0× 24 0.9× 9 431
Shaunna M. Huston Canada 12 284 1.2× 237 1.4× 155 1.4× 37 1.0× 24 0.9× 15 427
Natalia Castro-Lopez United States 11 275 1.2× 219 1.3× 214 1.9× 80 2.2× 38 1.4× 19 471
Maria Glória Teixeira Sousa Brazil 11 306 1.3× 206 1.2× 136 1.2× 34 0.9× 35 1.3× 24 455
Laura E. Carreto-Binaghi Mexico 9 151 0.6× 126 0.7× 29 0.3× 29 0.8× 29 1.0× 22 262
Sean K. Bauman United States 8 488 2.1× 443 2.6× 44 0.4× 32 0.9× 21 0.8× 8 556
Simon F. Dufresne Canada 11 298 1.3× 334 2.0× 42 0.4× 44 1.2× 27 1.0× 29 483
A. Lind Sweden 12 232 1.0× 202 1.2× 84 0.8× 63 1.8× 14 0.5× 38 433
Gisela Unis Brazil 15 391 1.7× 382 2.3× 34 0.3× 41 1.1× 19 0.7× 29 498
Leandro Carvalho Dantas Breda Brazil 10 85 0.4× 111 0.7× 131 1.2× 57 1.6× 17 0.6× 16 326

Countries citing papers authored by Wendy Chaka

Since Specialization
Citations

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

Fields of papers citing papers by Wendy Chaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wendy Chaka

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

All Works

10 of 10 papers shown
1.
Chaka, Wendy, Christopher A. Berger, Stella Huo, et al.. (2020). Presentation and outcome of suspected sepsis in a high-HIV burden, high antiretroviral coverage setting. International Journal of Infectious Diseases. 96. 276–283. 8 indexed citations
2.
Chaka, Wendy, et al.. (2020). Sepsis in cancer patients residing in Zimbabwe: spectrum of bacterial and fungal aetiologies and their antimicrobial susceptibility patterns. BMC Infectious Diseases. 20(1). 161–161. 7 indexed citations
3.
4.
Coenjaerts, Frank E. J., Michiel van der Flier, Pauline N. M. Mwinzi, et al.. (2004). Intrathecal Production and Secretion of Vascular Endothelial Growth Factor during Cryptococcal Meningitis. The Journal of Infectious Diseases. 190(7). 1310–1317. 24 indexed citations
5.
Walenkamp, Annemiek, Wendy Chaka, A F Verheul, et al.. (1999). Cryptococcus neoformansand its cell wall components induce similar cytokine profiles in human peripheral blood mononuclear cells despite differences in structure. FEMS Immunology & Medical Microbiology. 26(3-4). 309–318. 25 indexed citations
6.
Chaka, Wendy, Robert S. Heyderman, Innocent T. Gangaidzo, et al.. (1997). Cytokine Profiles in Cerebrospinal Fluid of Human Immunodeficiency Virus ‐Infected Patients with Cryptococcal Meningitis: No Leukocytosis despite High Interleukin‐8 Levels. The Journal of Infectious Diseases. 176(6). 1633–1636. 45 indexed citations
7.
Chaka, Wendy, A F Verheul, Robert Cherniak, et al.. (1997). Induction of TNF-alpha in human peripheral blood mononuclear cells by the mannoprotein of Cryptococcus neoformans involves human mannose binding protein. The Journal of Immunology. 159(6). 2979–2985. 81 indexed citations
8.
Chaka, Wendy, A F Verheul, & Andy I. M. Hoepelman. (1997). Influence of different conditions on kinetics of tumor necrosis factor alpha release by peripheral blood mononuclear cells after stimulation with Cryptococcus neoformans: a possible explanation for different results. Clinical and Diagnostic Laboratory Immunology. 4(6). 792–794. 4 indexed citations
9.
10.
Chaka, Wendy, et al.. (1995). Quantitative analysis of phagocytosis and killing of Cryptococcus neoformans by human peripheral blood mononuclear cells by flow cytometry. Clinical and Diagnostic Laboratory Immunology. 2(6). 753–759. 60 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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