Wanda Christ

1.2k citations
32 papers · 736 · h-index 16

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • SARS-CoV-2 and COVID-19 Research 16
    • COVID-19 Clinical Research Studies 8
    • Viral Infections and Vectors 6
    • SARS-CoV-2 detection and testing 4
    • Immune Cell Function and Interaction 3
    • IL-33, ST2, and ILC Pathways 2

Wanda Christ

28 papers receiving 725 citations

Peers

Wanda Christ
Comparison fields: 5 of 67
  • Infectious Diseases 484
  • Immunology 174
  • Modeling and Simulation 26
  • Neurology 72
  • Animal Science and Zoology 47
Replace Emily Haraguchi with:
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Mieke A. van der Mescht South Africa
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Wanda Christ relative to Emily Haraguchi United States Emily Haraguchi's profile →
Citations per field
00.5×2×3.0×
Emily Haraguchi · 1×
Citations per year

Countries citing papers authored by Wanda Christ

Since Specialization
Citations

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

Fields of papers citing papers by Wanda Christ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanda Christ, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanda Christ Line = papers co-authored together Wanda Christ links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 202068
3 202068
4 202259
5 202249
6 202243
7 202131
8 202231
9 202230
10 202326
11 202322
12 202320
13 202120
14 202219
15 202219
16 202317
17 202114
18 201913
19 202211
20 20249

About Wanda Christ

Wanda Christ is a scholar working on Infectious Diseases, Immunology, Virology, Cell Biology and Animal Science and Zoology, having authored 32 papers that have together received 736 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (8 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 detection and testing (4 papers), Immune Cell Function and Interaction (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Animal Virus Infections Studies (2 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Infectious Diseases (484 citations), Immunology (174 citations), Modeling and Simulation (26 citations), Neurology (72 citations) and Animal Science and Zoology (47 citations). Wanda Christ has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Jonas Klingström, Mattias N.E. Forsell, Clas Ahlm, Johan Normark, Marina García, Janne Tynell, Kim G. Blom, Staffan Tevell, Yong-Dae Gwon and Alicia Edin. Their work appears in journals such as Clinical & Translational Immunology, Nature Communications, Cell Reports, PLoS Pathogens and The Lancet Infectious Diseases.

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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