Xuping Yang

960 citations
36 papers · 667 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Gut microbiota and health 4
    • Metabolism, Diabetes, and Cancer 3
    • Adipose Tissue and Metabolism 9
    • Diet and metabolism studies 3

Xuping Yang

30 papers receiving 654 citations

Peers

Xuping Yang
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 212
  • Geriatrics and Gerontology 40
  • Hepatology 73
  • Physiology 136
  • Epidemiology 150
Replace Shasha Xing with:
Shasha Xing China
Da Hyun Lee South Korea
Erfei Song Hong Kong
Junfeng Han China
Xue‐qi Liu China
Xiangli Bai China
Mohamed Asrih Switzerland
Kyoichiro Tsuchiya Japan
Péter Fülöp Hungary
Xuping Yang relative to Shasha Xing China Shasha Xing's profile →
Citations per field
00.5×3.5×
Shasha Xing · 1×
Citations per year

Countries citing papers authored by Xuping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xuping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2014107
3 201981
4 202335
5 202129
6 201928
7 202027
8 201625
9 202224
10 201923
11 202020
12 202217
13 202117
14 202215
15 202113
16 202212
17 202312
18 202110
19 20248
20 20197

About Xuping Yang

Xuping Yang is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 667 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Pancreatic function and diabetes (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Gut microbiota and health (4 papers), Liver physiology and pathology (3 papers), Diabetes Treatment and Management (3 papers), Diet and metabolism studies (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (212 citations), Geriatrics and Gerontology (40 citations), Hepatology (73 citations), Physiology (136 citations) and Epidemiology (150 citations). Xuping Yang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yilan Huang, Xiaoyan Zhong, Hongping Shen, Jinhan He, Yanping Li, Tong Wu, Qinhui Liu, Shiyun Pu, Jinhang Zhang and Min Zou. Their work appears in journals such as Frontiers in Pharmacology, Medicine, European Journal of Clinical Pharmacology, The FASEB Journal and Analytical and Bioanalytical Chemistry.

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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