Danielle Minns

528 citations
7 papers · 261 · h-index 5

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Psoriasis: Treatment and Pathogenesis
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • Immune Response and Inflammation 5
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
    • Immune cells in cancer 3
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1

Danielle Minns

6 papers receiving 257 citations

Peers

Danielle Minns
Comparison fields: 5 of 56
  • Immunology 178
  • Microbiology 33
  • Immunology and Allergy 11
  • Infectious Diseases 24
  • Parasitology 8
Replace Katie J Smith with:
Katie J Smith United Kingdom
Lynn Bimler United States
Lena Kask Sweden
Le Son Tran Australia
Kumarkrishna Raychaudhuri United States
Janin Chandra Australia
Shevaun P. Davis Canada
Jan Kevin Maerz Germany
Ana Flavia Popi Brazil
Ileana Licona‐Limón Mexico
Danielle Minns relative to Katie J Smith United Kingdom Katie J Smith's profile →
Citations per field
00.5×1.5×
Katie J Smith · 1×
Citations per year

Countries citing papers authored by Danielle Minns

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Minns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2021111
2 201951
3 202146
4 202140
5 20229
6 20243
7 20221

About Danielle Minns

Danielle Minns is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 261 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (2 papers), S100 Proteins and Annexins (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), T-cell and B-cell Immunology (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Immunology (178 citations), Microbiology (33 citations), Immunology and Allergy (11 citations), Infectious Diseases (24 citations) and Parasitology (8 citations). Danielle Minns has collaborated with scholars based in United Kingdom and Norway. Frequent co-authors include Emily Gwyer Findlay, Katie J Smith, Gareth Hardisty, Donald J. Davidson, Lauren Melrose, Andrew S. MacDonald, Lucy H. Jackson‐Jones, Adriano G. Rossi, Robert D. Gray and Véronique E. Miron. Their work appears in journals such as Frontiers in Immunology, Nature Communications, npj Systems Biology and Applications, PLoS Biology and Mediators of Inflammation.

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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