Xiaomeng Du

1.2k total citations · 1 hit paper
20 papers, 410 citations indexed

About

Xiaomeng Du is a scholar working on Epidemiology, Genetics and Surgery. According to data from OpenAlex, Xiaomeng Du has authored 20 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Genetics and 5 papers in Surgery. Recurrent topics in Xiaomeng Du's work include Liver Disease Diagnosis and Treatment (8 papers), Genetic Associations and Epidemiology (4 papers) and Diet, Metabolism, and Disease (4 papers). Xiaomeng Du is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Genetic Associations and Epidemiology (4 papers) and Diet, Metabolism, and Disease (4 papers). Xiaomeng Du collaborates with scholars based in United States, China and Denmark. Xiaomeng Du's co-authors include Elizabeth K. Speliotes, Vincent Chen, Samuel K. Handelman, Yanhua Chen, Annapurna Kuppa, Brian Halligan, Antonino Oliveri, Lillias H. Maguire, Kelly C. Cushing and Yanhua Chen and has published in prestigious journals such as Nature Communications, Nature Genetics and Gastroenterology.

In The Last Decade

Xiaomeng Du

18 papers receiving 407 citations

Hit Papers

Comprehensive genetic study of the insulin resistance mar... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaomeng Du United States 10 203 100 94 63 62 20 410
Carmela Morace Italy 13 102 0.5× 177 1.8× 49 0.5× 24 0.4× 41 0.7× 39 417
Federica Tavaglione Italy 13 469 2.3× 81 0.8× 248 2.6× 47 0.7× 139 2.2× 33 596
Aristidis Slavakis Greece 9 207 1.0× 86 0.9× 191 2.0× 12 0.2× 86 1.4× 13 409
Ran Cui China 12 111 0.5× 51 0.5× 53 0.6× 25 0.4× 27 0.4× 24 336
Yayoi Matsuda Japan 14 206 1.0× 216 2.2× 355 3.8× 20 0.3× 44 0.7× 47 640
Donald J. Lazas United States 5 266 1.3× 415 4.2× 157 1.7× 24 0.4× 73 1.2× 8 729
Nami Lee South Korea 10 70 0.3× 71 0.7× 129 1.4× 18 0.3× 26 0.4× 15 323
Claudia Raggi Italy 15 106 0.5× 54 0.5× 37 0.4× 31 0.5× 22 0.4× 23 455
Jennifer Nash United Kingdom 11 100 0.5× 214 2.1× 36 0.4× 48 0.8× 39 0.6× 20 467

Countries citing papers authored by Xiaomeng Du

Since Specialization
Citations

This map shows the geographic impact of Xiaomeng Du's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaomeng Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomeng Du more than expected).

Fields of papers citing papers by Xiaomeng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaomeng Du. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaomeng Du. The network helps show where Xiaomeng Du may publish in the future.

Co-authorship network of co-authors of Xiaomeng Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomeng Du. A scholar is included among the top collaborators of Xiaomeng Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaomeng Du. Xiaomeng Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Oliveri, Antonino, Ryan J. Rebernick, Annapurna Kuppa, et al.. (2024). Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank. Nature Genetics. 56(2). 212–221. 44 indexed citations breakdown →
2.
Cushing, Kelly C., Yanhua Chen, Xiaomeng Du, et al.. (2024). Genetic insight into the relationship between inflammatory bowel disease and Clostridioides difficile infection. mSphere. 9(11). e0056724–e0056724.
3.
Wang, Kai, et al.. (2024). Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study. Journal of Imaging Informatics in Medicine. 38(2). 1224–1235. 2 indexed citations
4.
Chen, Vincent, Xiaomeng Du, Antonino Oliveri, et al.. (2024). Genetic risk accentuates dietary effects on hepatic steatosis, inflammation and fibrosis in a population-based cohort. Journal of Hepatology. 81(3). 379–388. 20 indexed citations
6.
Kuppa, Annapurna, Yue Chen, Asmita Pant, et al.. (2023). Knockout of murine Lyplal1 confers sex-specific protection against diet-induced obesity. Journal of Molecular Endocrinology. 70(3). 2 indexed citations
7.
Cushing, Kelly C., Yanhua Chen, Xiaomeng Du, et al.. (2023). Risk Variants in or NearZBTB40ANDNFATC1Increase the Risk of Both IBD and Adverse Bone Health Outcomes Highlighting Common Genetic Underpinnings Across Both Diseases. Inflammatory Bowel Diseases. 29(6). 938–945. 2 indexed citations
8.
Chen, Vincent, Antonino Oliveri, Matthew J. Miller, et al.. (2023). PNPLA3 Genotype and Diabetes Identify Patients With Nonalcoholic Fatty Liver Disease at High Risk of Incident Cirrhosis. Gastroenterology. 164(6). 966–977.e17. 61 indexed citations
9.
Upadhyay, Kapil K., Xiaomeng Du, Yanhua Chen, et al.. (2023). A common variant that alters SUN1 degradation associates with hepatic steatosis and metabolic traits in multiple cohorts. Journal of Hepatology. 79(5). 1226–1235. 3 indexed citations
10.
Cushing, Kelly C., Xiaomeng Du, Yanhua Chen, et al.. (2022). Inflammatory Bowel Disease Risk Variants Are Associated with an Increased Risk of Skin Cancer. Inflammatory Bowel Diseases. 28(11). 1667–1676. 6 indexed citations
11.
Chen, Vincent, Matthew J. Miller, Yanhua Chen, et al.. (2022). Hepatic decompensation is accelerated in patients with cirrhosis and alpha-1 antitrypsin Pi∗MZ genotype. JHEP Reports. 4(6). 100483–100483. 19 indexed citations
12.
Handelman, Samuel K., Annapurna Kuppa, Yanhua Chen, et al.. (2022). Population‐based meta‐analysis and gene‐set enrichment identifies FXR/RXR pathway as common to fatty liver disease and serum lipids. Hepatology Communications. 6(11). 3120–3131. 10 indexed citations
13.
Roo, Ana C. De, Yanhua Chen, Xiaomeng Du, et al.. (2022). Polygenic Risk Prediction in Diverticulitis. Annals of Surgery. 277(6). e1262–e1268. 7 indexed citations
14.
Chen, Vincent, Xiaomeng Du, Yanhua Chen, et al.. (2021). Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology. Nature Communications. 12(1). 816–816. 75 indexed citations
15.
Pant, Asmita, Yue Chen, Annapurna Kuppa, et al.. (2021). Perturbation of TM6SF2 Expression Alters Lipid Metabolism in a Human Liver Cell Line. International Journal of Molecular Sciences. 22(18). 9758–9758. 6 indexed citations
16.
Chen, Vincent, Xiaomeng Du, Yanhua Chen, et al.. (2021). S1179 PNPLA3 and TM6SF2 Risk Alleles Amplify Effects of Diet on Hepatic Steatosis. The American Journal of Gastroenterology. 116(1). S549–S549.
17.
Chen, Vincent, Andrew Wright, Brian Halligan, et al.. (2019). Body Composition and Genetic Lipodystrophy Risk Score Associate With Nonalcoholic Fatty Liver Disease and Liver Fibrosis. Hepatology Communications. 3(8). 1073–1084. 19 indexed citations
18.
Chen, Vincent, Yanhua Chen, Xiaomeng Du, Samuel K. Handelman, & Elizabeth K. Speliotes. (2019). Genetic variants that associate with cirrhosis have pleiotropic effects on human traits. Liver International. 40(2). 405–415. 40 indexed citations
19.
Maguire, Lillias H., Samuel K. Handelman, Xiaomeng Du, et al.. (2018). Genome-wide association analyses identify 39 new susceptibility loci for diverticular disease. Nature Genetics. 50(10). 1359–1365. 77 indexed citations
20.
Wang, Chunjuan, et al.. (2017). Distance-gradient-based variogram and Kriging to evaluate cobalt-rich crust deposits on seamounts. Ore Geology Reviews. 84. 218–227. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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