Evidence map›Paper›PMID 42844550›Full record

ReviewMolecular biotechnology2026

Bibliometric Analysis of Milk Protein Gene Expression Regulation Using CiteSpace and VOSviewer.

Xiaoliang He, Lili Xing, Linjie Shi, Xiaohui Zhou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 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

4 authors.

Xiaoliang HeSchool of Food Science and Biology, Hebei University of Science and Technology, NO. 26 Yuxiang Street, Shijiazhuang, 050018, Hebei, China.ORCID http://orcid.org/0000-0003-1671-166X
Lili XingSchool of Food Science and Biology, Hebei University of Science and Technology, NO. 26 Yuxiang Street, Shijiazhuang, 050018, Hebei, China.
Linjie ShiSchool of Food Science and Biology, Hebei University of Science and Technology, NO. 26 Yuxiang Street, Shijiazhuang, 050018, Hebei, China.
Xiaohui ZhouSchool of Food Science and Biology, Hebei University of Science and Technology, NO. 26 Yuxiang Street, Shijiazhuang, 050018, Hebei, China. zhouxh2003@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Milk proteins represent the principal protein constituents of mammalian milk and play indispensable biological roles in the growth, development, and immune maturation of neonates. Modulating the expression of genes involved in milk protein synthesis holds considerable promise for enhancing both the efficiency of milk protein production and the bioavailability of dairy-derived nutrients, thereby offering significant translational potential in neonatal nutrition and the functional optimization of bioactive milk peptides. This study conducts a comprehensive bibliometric analysis of the scientific literature on milk protein gene expression regulation, drawing upon publications indexed in the Web of Science Core Collection from 2006 to 2025. Utilizing CiteSpace and VOSviewer, we systematically map research hotspots, evolutionary trends, and emerging frontiers in the field. Concurrently, we provide an integrative review of the molecular mechanisms governing milk protein gene expression, including key transcriptional regulators and associated signaling pathways, as well as recent advances in the optimization and innovative applications of milk protein-based products and pharmaceuticals.

Indexed as

Bibliometric analysisDairy product improvementFood and pharmaceutical applicationsGene expression regulationMilk proteins

Identifiers

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.