Evidence map›Paper›PMID 35958476›Full record

ArticleAmerican journal of translational research2022

Global research hotspots and trends of the Notch signaling pathway in the field of cancer: a bibliometric study.

Kunyang Lei, Xu Wang, Yifu Liu, Ting Sun, Wenjie Xie

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kunyang LeiDepartment of Urology, The First Affiliated Hospital of Nanchang University Nanchang 330006, Jiangxi, China.
Xu WangDepartment of Pathology, The First Affiliated Hospital of Nanchang University Nanchang 330006, Jiangxi, China.
Yifu LiuDepartment of Urology, The First Affiliated Hospital of Nanchang University Nanchang 330006, Jiangxi, China.
Ting SunDepartment of Urology, The First Affiliated Hospital of Nanchang University Nanchang 330006, Jiangxi, China.
Wenjie XieDepartment of Urology, The First Affiliated Hospital of Nanchang University Nanchang 330006, Jiangxi, China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the development status, research hotspots, research frontiers and future development trends of the Notch signaling pathway in cancer through bibliometric analysis.

methodsPublications related to the Notch signaling pathway in cancer were obtained from the Web of Science Core Collection (WoSCC), and information was extracted from the articles using Microsoft Excel 2020, CiteSpace V and VOSviewer software for visual analysis.

resultsThe country and institution with the most publications are the USA and Harvard University, respectively. PLoS One is the most published journal, and Cancer Research is the most cocited journal. The author with the most published articles was L Miele, and the most cocited author was ZW Wang. The top 3 keywords were activation, differentiation and growth. Metastasis, epithelial-mesenchymal transition (EMT), invasion, target and resistance are the current research hotspots and frontiers in this field.

conclusionsResearch related to the Notch signaling pathway in cancer is currently booming, and the USA has made the greatest contribution to this field. At present, the research hotspots and research frontiers in this field mainly focus on the regulatory role of the Notch signaling pathway in tumor invasion and metastasis, the regulation of the Notch signaling pathway in tumor progression through EMT, and the participation of the Notch signaling pathway in the regulation of chemotherapy or immunotherapy resistance to tumors.

Indexed as

BibliometricEMTmetastasisNotchresistance

Identifiers

PMID35958476
PMCPMC9360898
OpenAlexW4291708929

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.