Mingfeng Xia

96 papers receiving 2.8k citations

Mingfeng Xia's Hit Papers

DGAT2 inhibition blocks SREBP-1 cleavage and improves hepatic steatosis by increasing phosphatidylethanolamine in the ER 2024 · 60 citations
600+1Years since publication204060

Peers

Mingfeng Xia
Comparison fields: 5 of 102
  • Epidemiology 1.2k
  • Endocrinology, Diabetes and Metabolism 611
  • Hepatology 192
  • Pharmacology 340
  • Geriatrics and Gerontology 52
Replace Hua Bian with:
Hua Bian China
Federico Salomone Italy
Liang Xu China
Shaogui Wang China
Marta Alegret Spain
Chi‐Chang Juan Taiwan
Lance Yi Xu New Zealand
Leila Gobejishvili United States
Daniel F. Vatner United States
Fatiha Nassir United States
Mingfeng Xia relative to Hua Bian China Hua Bian's profile →
Citations per field
00.5×1.5×2.3×
Hua Bian · 1×
Citations per year

Countries citing papers authored by Mingfeng Xia

Since Specialization
Citations

This map shows the geographic impact of Mingfeng Xia'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 Mingfeng Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingfeng Xia more than expected).

Fields of papers citing papers by Mingfeng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingfeng Xia. 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 Mingfeng Xia. The network helps show where Mingfeng Xia may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingfeng Xia, 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 Mingfeng Xia Line = papers co-authored together Mingfeng Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019210
2 2015191
3 2016173
4 2017128
5 2011120
6 2019115
7 2019101
8 202099
9 202088
10 201186
11 201674
12 202165
13 201860
14
DGAT2 inhibition blocks SREBP-1 cleavage and improves hepatic steatosis by increasing phosphatidylethanolamine in the ER
Hit paper breakdown →
202460
15 202157
16 201852
17 202046
18 201645
19 201245
20 201241

About Mingfeng Xia

Mingfeng Xia is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Surgery, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (36 papers), Diet, Metabolism, and Disease (11 papers), Diet and metabolism studies (7 papers), Berberine and alkaloids research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Nutrition and Health in Aging (4 papers), Epigenetics and DNA Methylation (4 papers) and Lipid metabolism and biosynthesis (4 papers). The work is most often cited by research in Epidemiology (1.2k citations), Endocrinology, Diabetes and Metabolism (611 citations), Hepatology (192 citations), Pharmacology (340 citations) and Geriatrics and Gerontology (52 citations). Mingfeng Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Gao, Hua Bian, Hongmei Yan, Xinxia Chang, Huandong Lin, Hui Ma, Xiuzhong Yao, Xiaopeng Zhu, Wanyuan He and Jian Gao. Their work appears in journals such as Lipids in Health and Disease, PLoS ONE, Journal of Translational Medicine, Obesity and Clinical and Experimental Pharmacology and Physiology.

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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