Xiaomeng Du

18 papers receiving 407 citations

Xiaomeng Du's Hit Papers

Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank 2024 · 44 citations
440+1Years since publication10203040

Peers

Xiaomeng Du
Comparison fields: 5 of 83
  • Hepatology 62
  • Epidemiology 203
  • Endocrinology, Diabetes and Metabolism 94
  • Surgery 100
  • Genetics 63
Replace Carmela Morace with:
Carmela Morace Italy
Aristidis Slavakis Greece
Claudia Raggi Italy
Zhuping Fan China
Roland Assert Germany
Yukiko Saji Japan
Minoru Kashiwagi Japan
Sebastian K. Eder Austria
Donald J. Lazas United States
Xiaomeng Du relative to Carmela Morace Italy Carmela Morace's profile →
Citations per field
00.5×3.0×
Carmela Morace · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaomeng Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaomeng Du Line = papers co-authored together Xiaomeng Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201877
2 202175
3 202361
4
Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank
Hit paper breakdown →
202444
5 201940
6 202420
7 202219
8 201919
9 201714
10 202210
11 20227
12 20226
13 20216
14 20243
15 20233
16 20232
17 20232
18 20242
19 20240
20 20210

About Xiaomeng Du

Xiaomeng Du is a scholar working on Epidemiology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 20 papers that have together received 410 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Diet, Metabolism, and Disease (4 papers), Genetic Associations and Epidemiology (4 papers), Lipid metabolism and disorders (3 papers), Lipid metabolism and biosynthesis (2 papers), Gastrointestinal disorders and treatments (2 papers), Diverticular Disease and Complications (2 papers) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Hepatology (62 citations), Epidemiology (203 citations), Endocrinology, Diabetes and Metabolism (94 citations), Surgery (100 citations) and Genetics (63 citations). Xiaomeng Du has collaborated with scholars based in United States, China and Denmark. Frequent 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. Their work appears in journals such as Nature Genetics, Journal of Hepatology, Hepatology Communications, Inflammatory Bowel Diseases and Liver International.

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.

Explore authors with similar magnitude of impact