ReviewHuman vaccines & immunotherapeutics2024
Knowledge mapping of trained immunity/innate immune memory: Insights from two decades of studies.
Review in Human vaccines & immunotherapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Artificial intelligence in immune checkpoint inhibitor research: A bibliometric analysis of the landscape.Human vaccines & immunotherapeutics · 2026Article
- AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.Archives of microbiology · 2026Review
- Trained immunity as a systemic bridge: the liver-gut-immune-oral axis in the comorbidity of chronic liver disease and periodontitis.Frontiers in immunology · 2026Review
- Bibliometric and Visual Analysis of Trained Immunity from 2005 to 2024.Journal of inflammation research · 2026Review
- Trained immunity in cancer and autoimmunity: a double-edged sword in immune memory reprogramming.Frontiers in immunology · 2026Review
- Pleiotropic Mucosal Innate Immune Memory in the Gastrointestinal Tract.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study employs knowledge mapping and bibliometric techniques to analyze the research landscape of trained immunity over the past 20 years and to identify current research hotspots and future development directions. The literature related to trained immunity was searched from the Web of Science Core Collection database, spanning 2004 to 2023. VOSViewer, CiteSpace and Bibliometrix were used for the knowledge mapping analysis. The foremost research institutions are Radboud University Nijmegen, University of Bonn, and Harvard University. Professor Netea MG of Radboud University Nijmegen has published the greatest number of articles. The current research focus encompasses immune memory, nonspecific effects, epigenetics, metabolic reprogramming, BCG vaccine, and the development of trained immunity-based vaccines. It is likely that research on trained immunity-based vaccines will become a major focus in the development of new vaccines in the future. It would be advantageous to observe a greater number of prospective clinical studies with robust evidence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.