ArticleFrontiers in microbiology2023
Emerging trends and focus on the link between gut microbiota and type 1 diabetes: A bibliometric and visualization analysis.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- A scientometric visualization analysis of the gut microbiota and gestational diabetes mellitus.Frontiers in microbiology · 2025Pooled it
- Metagenomic Insights into Gut Microbiota Alterations FollowingInternational journal of molecular sciences · 2026Article
- Shared senescence-associated gene networks in PCOS and T2DM: biomarker identification and functional validation.Frontiers in endocrinology · 2025Article
- Research prospects for kidney xenotransplantation: a bibliometric analysis.Renal failure · 2024Article
- Unravelling the Role of Gut and Oral Microbiota in the Pediatric Population with Type 1 Diabetes Mellitus.International journal of molecular sciences · 2024Review
- Improved Gut Health May Be a Potential Therapeutic Approach for Managing Prediabetes: A Literature Review.Biomedicines · 2024Review
- Review
- Structural and temporal dynamics analysis of neural circuit from 2002 to 2022: A bibliometric analysis.Heliyon · 2024Review
- Global landscape of COVID-19 research: a visualization analysis of randomized clinical trials.Clinical and experimental medicine · 2024Article
- Gut microbiota and autism spectrum disorders: where do we stand?Gut pathogens · 2023Article
- Unveiling the hidden world of gut health: Exploring cutting-edge research through visualizing randomized controlled trials on the gut microbiota.World journal of clinical cases · 2023Article
- Bibliometric analysis of global research trends between gut microbiota and pancreatic cancer: from 2004 to 2023.Frontiers in microbiology · 2023Review
- A bibliometric analysis of the global impact of metaproteomics research.Frontiers in microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Objective: To conduct the first thorough bibliometric analysis to evaluate and quantify global research regarding to the gut microbiota and type 1 diabetes (T1D). Methods: A literature search for research studies on gut microbiota and T1D was conducted using the Web of Science Core Collection (WoSCC) database on 24 September 2022. VOSviewer software and the packages Bibliometrix R and ggplot used in RStudio were applied to perform the bibliometric and visualization analysis. Results: A total of 639 publications was extracted using the terms "gut microbiota" and "type 1 diabetes" (and their synonyms in MeSH). Ultimately, 324 articles were included in the bibliometric analysis. The United States and European countries are the main contributors to this field, and the top 10 most influential institutions are all based in the United States, Finland and Denmark. The three most influential researchers in this field are Li Wen, Jorma Ilonen and Mikael Knip. Historical direct citation analysis showed the evolution of the most cited papers in the field of T1D and gut microbiota. Clustering analysis defined seven clusters, covering the current main topics in both basic and clinical research on T1D and gut microbiota. The most commonly found high-frequency keywords in the period from 2018 to 2021 were "metagenomics," "neutrophils" and "machine learning." Conclusion: The application of multi-omics and machine learning approaches will be a necessary future step for better understanding gut microbiota in T1D. Finally, the future outlook for customized therapy toward reshaping gut microbiota of T1D patients remains promising.
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What OpenQuestion holds
Registered trials
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.