ArticleBriefings in bioinformatics2025
Spatial transcriptomics: a bibliometric analysis with large language model on English literatures.
Article in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07626606 (Temporal and Spatial Immune Profiling of Oral Rotavirus Vaccine Responses in Zambian Adults With Environmental Enteropathy), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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.
Temporal and Spatial Immune Profiling of Oral Rotavirus Vaccine Responses in Zambian Adults With Environmental Enteropathy
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mitochondrial transfer in cancer: a global bibliometric analysis.Frontiers in oncology · 2026Pooled it
- Multi-Omics-Enabled Precision Strategies for Overcoming CAR-T Therapy Limitations in Gastrointestinal Malignancies.BioFactors (Oxford, England)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Spatial transcriptomics (ST) integrates spatial data with transcriptomic information, providing high-resolution maps of gene expression within tissue contexts. It has revolutionized studies on cellular function and disease mechanisms, particularly in cancer and immunology. We conducted a bibliometric analysis of 1197 publications from the Web of Science (2015-24), focusing on publication trends, journal distribution, and keyword analysis to identify key research areas in ST. ST publications surged from 2021, with 500 papers in 2023. Five of the top 10 journals are from the Nature Publishing Group. Keyword analysis identified emerging trends like "tumor microenvironment," "immune infiltration," and "biomarker," highlighting ST's expanding role in cancer and immunology. International collaboration among multidisciplinary teams is crucial for maximizing ST's potential, and understanding its trends will guide its future impact. Large language models can further enrich the results of bibliometric research, making the findings of bibliometrics more comprehensive and specific.
Indexed as
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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.