ReviewDiscover nano2026
Bibliometric mapping of research trends and publication growth in cancer sonodynamic therapy from 2001 to 2025.
Review in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundSonodynamic therapy (SDT) is increasingly investigated for cancer treatment. This study aimed to characterize the knowledge structure, thematic evolution, and publication trajectory of cancer SDT research.
methodsEnglish-language articles and reviews published from January 1, 2001, to December 31, 2025, were retrieved from the Web of Science Core Collection (WoSCC) on January 16, 2026. CiteSpace 6.4.R1 and VOSviewer 1.6.20 were used for collaboration, co-occurrence, co-citation, and burst analyses. Candidate Poisson log-link models with zero, one, or two changepoints were compared using the Akaike information criterion and Bayesian information criterion (BIC), with BIC as the principal selection criterion. Negative-binomial models and exclusion of 2025 were used for sensitivity analyses.
resultsA total of 1,053 publications were included. China had the highest publication count (819) and total citation count (36,281), whereas Israel had the highest citations per publication (110.17) among the ten most productive countries. The Chinese Academy of Sciences had the highest institutional publication count (104), with 10,691 citations and 102.80 citations per publication. Among the most prolific authors, Chen Yu had the highest publication count (40), whereas Liu Zhuang had the highest citations per publication (162.26). The primary Poisson model identified one changepoint after 2020, separating 2001-2020 from 2021-2025. Mean annual publication output was 11.0 during 2001-2020 and 166.8 during 2021-2025. Earlier research focused mainly on sonosensitizers and ultrasound-related mechanisms, whereas more recent work increasingly emphasized nanomaterial-assisted delivery, the tumor microenvironment, immunotherapy, oxidative stress, regulated cell death, and multimodal treatment
conclusionCancer SDT research entered a substantially higher-output phase after 2020. In terms of research content, more recent work expanded beyond conventional sonosensitizers and ultrasound-related mechanisms to include nanomaterial-assisted delivery, tumor microenvironment modulation, immune regulation, and regulated cell death.
Indexed as
Identifiers
42886455What 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.