ReviewDiscover oncology2026
Bibliometric analysis of single-cell RNA sequencing in tumor microenvironment.
Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Deciphering immunosuppressive niches by spatial single-cell proteomics: spatial interaction networks and translational opportunities.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The tumor microenvironment (TME) has emerged as a pivotal determinant of tumor progression, immune evasion, and therapeutic response, making it a central focus in modern oncology. Single-cell RNA sequencing (scRNA-seq) has revolutionized our ability to dissect the cellular heterogeneity and dynamic interactions within the TME at unprecedented resolution, enabling precise identification of cell types, functional states, and intercellular communication networks. In this study, we conducted a comprehensive bibliometric analysis of 187 publications of scRNA-seq in TME, indexed in the Web of Science Core Collection from January 1999 to July 2024. Our analysis reveals that China and the United States are the dominant contributors in terms of publication volume and citation impact, with Peking University and Harvard University leading institutional output. Keyword analysis revealed that the most frequent terms were “tumor microenvironment,” “single-cell RNA sequencing,” “gene expression,” and “cancer”. Journals with highly cited articles mainly include Nature Genetics, Cancer Research, Annual Review of Immunology, Nature Communications, Science Translational Medicine, Genome Biology, Journal of Hepatology, and Nature Cell Biology. Current studies primarily focus on using scRNA-seq to identify cell types and subtypes within the TME, as well as to investigate cell-cell interactions and communication. These findings offer valuable insights into advancing our understanding of tumor genetics, immune evasion mechanisms, diagnostic and prognostic biomarkers, and treatment resistance. While the field demonstrates rapid growth, enhanced international collaboration remains an urgent unmet need. Future research will likely to center on roles of immune and stromal cells within the TME revealed by scRNA-seq, as well as the integration of scRNA-seq with spatial transcriptomics and machine learning. It represents a promising direction for developing novel tumor therapies.
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.