Evidence map›Paper›PMID 40380023›Full record

ArticleDiscover oncology2025

Research hotspots and emerging trends in targeted therapy for colorectal cancer: a bibliometric analysis (2000-2023).

Xiangnv Meng, Zhongting Lu, Fu Mi, Sha Sha, Tao Li

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Role of CaCancer medicine · 2026
    Article
  3. Article
  4. Review
  5. Article
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

5 authors.

Xiangnv Meng *General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Zhongting Lu *General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Fu MiSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Sha ShaSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Tao LiDepartment of Surgical Oncology, Tumor Hospital, The General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China. lit1979@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted therapy has significantly transformed the treatment landscape of colorectal cancer (CRC), enabling personalized treatment approaches and improving patient prognosis. This study employs bibliometric analysis to explore the research hotspots and development trends in the field of CRC-targeted therapy from 2000 to 2023.

methodsBased on the Web of Science Core Collection, this study collected literature related to CRC-targeted therapy published between 2000 and 2023. CiteSpace and VOSviewer were used for data analysis, with a focus on publication trends, key contributors, and keyword co-occurrence patterns.

resultsA total of 2252 relevant articles were included, demonstrating a steady growth trend in research output. China ranked first in terms of the number of publications, while the University of Texas MD Anderson Cancer Center was identified as the institution with the highest research output. Josep Tabernero was the most prolific author in this field. Among journals, Cancers had the highest impact, while Clinical Cancer Research held a significant advantage in citation frequency. Keyword co-occurrence and clustering analysis indicated that research primarily focused on treatment strategies and precision medicine, with emerging technologies such as cell therapy and liquid biopsy garnering increasing attention.

conclusionThis study reveals the research trends, core hotspots, and emerging directions in the field of CRC-targeted therapy, providing valuable insights for future research.

Indexed as

Bibliometric analysisColorectal cancerData visualizationTargeted therapy

Identifiers

PMID40380023
PMCPMC12084209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.