Evidence map›Paper›PMID 41741796›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

A Decadal Bibliometric Analysis of Circulating Tumor DNA (ctDNA) Research in Lung Cancer (2012-2022).

Xiaofang Zhang, Junjun Bai

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

2 authors.

Xiaofang ZhangDepartment of Clinical Laboratory, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 031000, Shanxi Province, China.
Junjun BaiDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 031000, Shanxi Province, China. bjj19900524@126.com.ORCID http://orcid.org/0009-0001-6473-9336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have demonstrated that the plasma level of circulating tumor DNA (ctDNA) has emerged as a highly effective, minimally invasive biomarker in patients with lung cancer. This study aimed to perform bibliometric analysis to systematically evaluate the development trends of ctDNA in lung cancer for future research.

methodsAll articles on the role of ctDNA for detecting lung cancer from January 1, 2012, to December 31, 2022, were retrieved from the Web of Science (WoS) Core Collection database. Data analyses were performed using the R package Bibliometrix, VOS viewer 1.6.18, and online analysis in WoS.

resultsA total of 1122 publications were retrieved: 807 primary articles and 315 review articles. The annual publication volume exhibited a significant upward trajectory, with a Compound Annual Growth Rate (CAGR) of 48.3%. China had the highest article output (379 papers), whereas the citation rate of papers from the United States was the highest (20,239 citations). The journal "Cancers" had the highest number of publications. Wang J was the most prolific author (35 papers), whereas Diehn M was the most cited author (4460 citations). The five most frequent keywords were "lung cancer" (n = 237), "plasma" (n = 227), "acquired-resistance" (n = 207), "circulating tumor DNA" (n = 177), and "gefitinib" (n = 151).

conclusionThis study provides a comprehensive quantitative synthesis of the ctDNA landscape in lung cancer over the past decade. By identifying key research hotspots and evolutionary trends, our findings offer valuable insights for clinicians and researchers, highlighting the transition of ctDNA from experimental validation to critical translational applications in precision oncology.

Indexed as

BibliometricsBiomarkers, TumorCirculating Tumor DNALung NeoplasmsHumansBiomarkers, TumorCirculating Tumor DNABibliometric analysisCirculating tumor DNALiquid biopsyLung cancerVOSviewer

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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.