Vanessa Mack

496 citations
6 papers · 372 · h-index 5

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • interferon and immune responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 3
    • IL-33, ST2, and ILC Pathways 2
    • Immunotherapy and Immune Responses 1
    • Toxin Mechanisms and Immunotoxins 1
    • T-cell and B-cell Immunology 1
    • Inflammasome and immune disorders 3

Vanessa Mack

6 papers receiving 369 citations

Peers

Vanessa Mack
Comparison fields: 5 of 56
  • Immunology 212
  • Nephrology 30
  • Molecular Biology 193
  • Biological Psychiatry 6
  • Parasitology 15
Replace Daniel Fox with:
Daniel Fox Australia
Apurva Kanneganti United States
Sagar Paudel United States
Christine Lavanchy Switzerland
Pooja Ralli-Jain United States
Skylar S. Wright United States
Yushan Ren China
Timothée Fettrelet Switzerland
Kathrin Krause United States
Roman Sarkar India
Vanessa Mack relative to Daniel Fox Australia Daniel Fox's profile →
Citations per field
00.5×6.3×
Daniel Fox · 1×
Citations per year

Countries citing papers authored by Vanessa Mack

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vanessa Mack, 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 Vanessa Mack Line = papers co-authored together Vanessa Mack links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2020177
2 2014101
3 201447
4 201731
5 202313
6 20253

About Vanessa Mack

Vanessa Mack is a scholar working on Immunology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Immunology and Allergy, having authored 6 papers that have together received 372 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Inflammasome and immune disorders (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Food Allergy and Anaphylaxis Research (1 paper), Immunotherapy and Immune Responses (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Research on Leishmaniasis Studies (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (212 citations), Nephrology (30 citations), Molecular Biology (193 citations), Biological Psychiatry (6 citations) and Parasitology (15 citations). Vanessa Mack has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Hans Acha‐Orbea, Anaïs Duval, Petr Brož, Andreas Linkermann, Enrico Radaelli, Benjamin Demarco, Charles‐Antoine Assenmacher, Timothée Fettrelet, Thierry Roger and Kaiwen Chen. Their work appears in journals such as The EMBO Journal, Proceedings of the National Academy of Sciences, PLoS ONE, European Journal of Immunology and Science Advances.

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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