Mingfeng Xia

4.0k citations
98 papers · 2.7k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Mingfeng Xia

96 papers receiving 2.7k citations

Hit Papers

DGAT2 inhibition blocks SREBP-1 cleavage and improves hepatic steatosis by increasing phosphatidylethanolamine in the ER 2024 · 46 citations
4620242026202510203040

Peers

Mingfeng Xia
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 913
  • Epidemiology 1.5k
  • Hepatology 316
  • Physiology 532
  • Pharmacology 341
Replace Hua Bian with:
Hua Bian China
Federico Salomone Italy
Liang Xu China
Agata Maria Rabuazzo Italy
Lance Yi Xu New Zealand
Fatiha Nassir United States
Narci Teoh Australia
Marta Alegret Spain
Teresa Vanessa Fiorentino Italy
Tomáš Jeleník Germany
Mingfeng Xia relative to Hua Bian China Hua Bian's profile →
Citations per field
00.5×1.5×1.8×
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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 2015180
3 2016164
4 2017123
5 2011112
6 2019112
7 201998
8 202095
9 202085
10 201184
11 201671
12 202160
13 201859
14 202154
15 201850
16
DGAT2 inhibition blocks SREBP-1 cleavage and improves hepatic steatosis by increasing phosphatidylethanolamine in the ER
Hit paper breakdown →
202446
17 201644
18 202043
19 201242
20 201240

About Mingfeng Xia

Mingfeng Xia is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Hepatology, Physiology and Biochemistry, having authored 98 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (58 papers), Diet, Metabolism, and Disease (29 papers), Diet and metabolism studies (15 papers), Alcohol Consumption and Health Effects (8 papers), Liver Diseases and Immunity (6 papers), Lipid metabolism and biosynthesis (5 papers), Genetic Associations and Epidemiology (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (913 citations), Epidemiology (1.5k citations), Hepatology (316 citations), Physiology (532 citations) and Pharmacology (341 citations). Mingfeng Xia has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Xin Gao, Hua Bian, Hongmei Yan, Xinxia Chang, Huandong Lin, Hui Ma, Xiuzhong Yao, Xiaopeng Zhu, Wanyuan He and Qiqige Aleteng. 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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