Evidence map›Paper›PMID 40458808›Full record

ArticleFrontiers in pharmacology2025

Natural products in treating diabetic kidney disease: a visualized bibliometric analysis.

Tianlong Liu, Xiaolin Li, Yidan Chen, Jinhu Li, Rong Wang, Yi Ding, Minna Liu

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

7 authors.

Tianlong Liu *Department of Pharmacy, The 940th Hospital Joint Logistics Support Forces of PLA, Lanzhou, China.
Xiaolin Li *Department of Pharmacy, The 940th Hospital Joint Logistics Support Forces of PLA, Lanzhou, China.
Yidan Chen *Department of Pharmacy, The 940th Hospital Joint Logistics Support Forces of PLA, Lanzhou, China.
Jinhu LiDepartment of Pharmacy, The 940th Hospital Joint Logistics Support Forces of PLA, Lanzhou, China.
Rong WangDepartment of Pharmacy, The 940th Hospital Joint Logistics Support Forces of PLA, Lanzhou, China.
Yi DingDepartment of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Minna LiuFundamental Medical Science Research Laboratories and Department of Nephrology, The 940th Hospital Joint Logistics Support Forces of PLA, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic kidney disease (DKD) is one of the most significant complications in diabetic patients, yet current therapeutic options are limited. The advantages of natural products in treating chronic diseases have increasingly garnered attention. This study aims to map the landscape of natural products in DKD and provide new insights for future research in this field. Methods: Literature retrieval was conducted through the Web of Science. CiteSpace and VOSviewer were employed to conduct visual analyses of these papers. Results: A total of 523 literature were obtained, originating from 655 institutions across 40 countries/regions and involving 3,116 authors. These literature were published in 178 journals. The results indicate that China leads in this field, with Li Ping contributing the most publications. Zhang Lei's work has been cited the most. Journal of Ethnopharmacology is the most popular journal. The paper with the highest average annual citation rate is authored by Tang, GY. Keyword analysis reveals that systematic biological approaches such as network pharmacology, molecular docking, and gut microbiota have become hotspots in this field. Conclusion: Natural products exhibit positive pharmacological activity and therapeutic value in the treatment of DKD. Extensive cooperation and communication among countries, institutions, and authors still need to be strengthened to promote basic research and clinical applications of natural products. Besides, the deep integration of network pharmacology with artificial intelligence and big data represents a hot topic and trend in future research on natural products against DKD.

Indexed as

bibliometric analysiscitespacediabetic kidney diseasenatural productsVOSviewer

Identifiers

PMID40458808
PMCPMC12127394

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.