Global status and trends of metabolomics in diabetes: A literature visualization knowledge graph study

Table 1 The order of the top ten authors involved in the correlation between metabolomics and diabetes mellitus

Rank	Number of publications	Centrality	Earliest time of posting	Author	Country	Institution
1	63	0.11	2010	Jerzy Adamski	Germany	Hochschule Neubrandenburg
2	31	0.01	2011	Cornelia Prehn	Germany	Helmholtz Center Munich - Environmental Health
3	30	0.02	2011	Karsten Suhre	United States	Weill Cornell Medical College
4	30	0.01	2012	Christopher Bang Newgard	United States	Duke University
5	25	0.05	2012	Robert E. Gerszten	United States	Beth Israel Deaconess Medical Center
6	24	0.05	2011	Gabi Kastenmüller	Germany	Helmholtz Zentrum München
7	24	0.03	2006	Mika Ala-Korpela	Finland	University of Oulu
8	20	0.02	2013	Clary Clish	United States	Harvard University
9	19	0.04	2009	James R. Bain	United States	Duke University
10	19	0.02	2009	Guowang Xu	China	Dalian Institute of Chemical Physics Chinese Academy of Sciences

Table 2 The order of the top ten co-cited authors in the correlation between metabolomics and diabetes mellitus

Rank	Number of publications	Centrality	Earliest time of publications	Author	Country	Institution
1	547	0.02	2011	Thomas J Wang	United States	Harvard Medical School
2	488	0.06	2010	Christopher Bang Newgard	United States	Duke University
3	371	0.04	2004	Jeremy Kirk Nicholson	United Kingdom	Imperial College of Technology
4	334	0	2008	David Scott Wishart	Canada	University of Alberta
5	312	0	2012	Anna Floegel	Germany	Hochschule Neubrandenburg
6	240	0.03	2011	Karsten Suhre	United States	Weill Cornell Medical College
7	237	0	2014	Peter Würtz	Finland	Nightingale Health
8	211	0.01	2016	Marta Guasch-Ferré	Denmark	University of Copenhagen
9	203	0.1	2003	Oliver Fiehn	United States	West Coast Metabolomics Center
10	197	0.02	2013	Rui Wang-Sattler	Germany	Helmholtz Center Munich

Table 3 Top 10 references in the correlation between metabolomics and diabetes mellitus

Rank	Ref.	Title	Journal	Source (IF)	Citation	DOI
1	Wang et al[12]	Metabolite profiles and the risk of developing diabetes	Nature medicine	82.9	523	10.1038/NM.2307
2	Newgard et al[13]	A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance	Cell Metabolism	29	382	10.1016/J.CMET.2009.02.002
3	Floegel et al[14]	Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach	Diabetes	7.7	275	10.2337/DB12-0495
4	Wang-Sattler et al[60]	Novel biomarkers for pre-diabetes identified by metabolomics	Molecular Systems Biology	9.9	194	10.1038/MSB.2012.43
5	Guasch-Ferré et al[57]	Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis	Diabetes Care	16.2	186	10.2337/DC15-2251
6	Benjamini et al[61]	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	Journal of the Royal Statistical Society: Series B (Methodological)	5.8	158	10.1111/j.2517-6161.1995.tb02031.x
7	Nicholson et al[62]	'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data	Xenobiotica	1.8	156	10.1080/004982599238047
8	Suhre et al[63]	Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting	Plos one	3.7	156	10.1371/JOURNAL.PONE.0013953
9	Menni et al[54]	Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach	Diabetes	7.7	154	10.2337/DB13-0570
10	Gall et al[64]	Alpha-hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population	Plos one	3.7	145	10.1371/JOURNAL.PONE.0010883

Table 4 Top 10 co-cited literatures in the correlation between metabolomics and diabetes mellitus

Rank	Ref.	Title	Journal	Source (IF)	Total citations	DOI
1	Fan et al[15]	Gut microbiota in human metabolic health and disease	Nature Reviews Microbiology	88.1	1339	10.1038/s41579-020-0433-9
2	Markle et al[16]	Sex differences in the gut microbiome drive hormone-dependent regulation of autoimmunity	Science	56.9	1262	10.1126/science.1233521
3	Plovier et al[17]	A purified membrane protein from Akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice	Nature Medicine	82.9	1128	10.1038/nm.4236
4	Rui Chen et al[65]	Personal omics profiling reveals dynamic molecular and medical phenotypes	Cell	64.5	844	10.1016/j.cell.2012.02.009
5	Wishart[4]	Emerging applications of metabolomics in drug discovery and precision medicine	Nature Reviews Drug Discovery	120.1	792	10.1038/nrd.2016.32
6	Suhre et al[66]	Human metabolic individuality in biomedical and pharmaceutical research	Nature	64.8	744	10.1038/nature10354
7	Newgard[67]	Interplay between lipids and branched-chain amino acids in development of insulin resistance	Cell Metabolism	29	740	10.1016/j.cmet.2012.01.024
8	Floegel et al[15]	Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach	Diabetes	7.7	708	10.2337/db12-0495
9	Freemerman et al[68]	Metabolic reprogramming of macrophages: glucose transporter 1 (GLUT1)-mediated glucose metabolism drives a proinflammatory phenotype	Journal Biological Chemistry	4.8	541	10.1074/jbc.M113.522037
10	Guasch-Ferréet al[57]	Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis	Diabetes Care	16.2	535	10.2337/dc15-2251