Katie J Smith
Impact in
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune cells in cancer
- Psoriasis: Treatment and Pathogenesis
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
- Immunology 10
- Immune Response and Inflammation 6
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Immune Cell Function and Interaction 3
- Immune cells in cancer 3
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Co-authors
- Emily Gwyer Findlay (6 shared papers)Danielle Minns (4 shared papers)Gareth Hardisty (2 shared papers)Donald J. Davidson (3 shared papers)Lauren Melrose (2 shared papers)Andrew S. MacDonald (1 shared paper)Lucy H. Jackson‐Jones (1 shared paper)Adriano G. Rossi (1 shared paper)
- Journals
- Nature Communications (1 paper)Advanced Science (1 paper)Aging Cell (1 paper)Journal of Biological Chemistry (1 paper)Nature Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Katie J Smith
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 68
- Immunology 151
- Microbiology 36
- Equine 5
- Immunology and Allergy 10
- Rheumatology 17
Countries citing papers authored by Katie J Smith
This map shows the geographic impact of Katie J Smith'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 Katie J Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie J Smith more than expected).
Fields of papers citing papers by Katie J Smith
This network shows the impact of papers produced by Katie J Smith. 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 Katie J Smith. The network helps show where Katie J Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Katie J Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 111 | |
| 2 | 2019 | 51 | |
| 3 | 2021 | 40 | |
| 4 | 2006 | 21 | |
| 5 | 2024 | 14 | |
| 6 | 2025 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2012 | 0 | |
| 14 | 2024 | 0 |
About Katie J Smith
Katie J Smith is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Microbiology, having authored 14 papers that have together received 278 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Antimicrobial Peptides and Activities (2 papers) and Veterinary Equine Medical Research (2 papers). The work is most often cited by research in Immunology (151 citations), Microbiology (36 citations), Equine (5 citations), Immunology and Allergy (10 citations) and Rheumatology (17 citations). Katie J Smith has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Emily Gwyer Findlay, Danielle Minns, Gareth Hardisty, Donald J. Davidson, Lauren Melrose, Andrew S. MacDonald, Lucy H. Jackson‐Jones, Adriano G. Rossi, Alicia L. Bertone and Michael D. Radmacher. Their work appears in journals such as Nature Communications, Advanced Science, Aging Cell, Journal of Biological Chemistry and Nature Immunology.
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.