Evidence map›Paper›PMID 42169540›Full record

ArticleNuclear medicine communications2026

Evolutionary landscape and collaborative networks of global theranostic research in nuclear medicine: a visual bibliometric analysis.

Ying-Nan Jia, Qian Wu, Pei-Hui Liu

Abstract readEvidence Synthesis
In one paragraph

Article in Nuclear medicine communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ying-Nan JiaDepartment of Nuclear Medicine, Xuzhou Central Hospital, Xuzhou, Jiangsu.
Qian WuDepartment of Nuclear Medicine, Xuzhou Central Hospital, Xuzhou, Jiangsu.
Pei-Hui LiuDepartment of Neuro-Intervention, Huludao Central Hospital, Huludao, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTheranostics, integrating diagnostic imaging with targeted radionuclide therapy, has become central to nuclear medicine, but its global research landscape and collaboration patterns remain incompletely mapped.

objectiveTo characterize publication dynamics, cooperative networks, and emerging topics in theranostic research from 2006 to 2024.

methodsArticles and reviews indexed in the Web of Science Core Collection were retrieved for bibliometric analysis. Excel, CiteSpace, VOSviewer, Scimago Graphica, ArcGIS, and the R package bibliometrix were used for quantitative analysis and visualization.

resultsA total of 1801 articles and reviews were included, with a compound annual growth rate of 18.7%. The USA, Germany, and China were the leading producer countries, and the USA-Germany collaboration showed the strongest bilateral link strength. The Helmholtz Association, Memorial Sloan Kettering Cancer Center, and the University of California System were the most productive institutions, while Herrmann K., Wester H.J., and Werner R.A. led individual output. Keyword co-occurrence analysis identified five major themes: prostate-specific membrane antigen (PSMA)-targeted imaging and therapy, somatostatin receptor-based peptide therapy, neuroendocrine tumors, alpha-particle therapy, and fibroblast activation protein-targeted probes. Burst detection showed that fibroblast activation protein, actinium-225, and 177 Lu-PSMA-617 have emerged as recent research hotspots.

conclusionTheranostic research in nuclear medicine has expanded rapidly over the past two decades, with a trans-Atlantic and Asia-Pacific collaborative pattern. Current frontiers are shifting from beta-emitters toward alpha-emitters and tumor-microenvironment-targeted probes. Greater intercontinental cooperation and continued focus on novel radionuclides and under-explored targets may support future innovation and clinical translation.

Indexed as

BibliometricsInternationalityNuclear MedicineTheranostic NanomedicineHumansbibliometricsnuclear medicinetargeted radionuclide therapytheranosticsvisual analysis

Identifiers

PMID42169540
PMCPMC13440549

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.