Xian-Cheng Jiang

1.9k citations
22 papers · 1.6k indexed · h-index 17
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Cholesterol and Lipid Metabolism (5 papers)Sphingolipid Metabolism and Signaling (5 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Xian-Cheng Jiang

22 papers receiving 1.6k citations

Peers

Xian-Cheng Jiang
Comparison fields: 5 of 91
  • Molecular Biology 840
  • Surgery 497
  • Cardiology and Cardiovascular Medicine 375
  • Physiology 372
  • Endocrinology, Diabetes and Metabolism 300
Replace Shuiqing Yu with:
Shuiqing Yu United States
Xavier Prieur France
Kazuhiro Sonoda Japan
Takeshi Ogihara Japan
A. Fredenrich France
Patrick Linsel‐Nitschke Germany
Shigeru Yatoh Japan
Kerry W.S. Ko Canada
Yuko Kako United States
Anne Minnich United States
Xian-Cheng Jiang relative to Shuiqing Yu United States Shuiqing Yu's profile →
Citations per field
00.5×1.5×
Shuiqing Yu · 1×
Citations per year

Countries citing papers authored by Xian-Cheng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xian-Cheng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian-Cheng Jiang. 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 Xian-Cheng Jiang. The network helps show where Xian-Cheng Jiang may publish in the future.

Co-authorship network of co-authors of Xian-Cheng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xian-Cheng Jiang. A scholar is included among the top collaborators of Xian-Cheng Jiang 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 Xian-Cheng Jiang. Xian-Cheng Jiang 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
#WorkIndexed citations
1
High L-Valine Concentrations Associate with Increased Oxidative Stress and Newly-Diagnosed Type 2 Diabetes Mellitus: A Cross-Sectional Study
19
2 3
3 73
4 9
5 50
6 23
7 56
8 15
9 26
10 7
11 31
12 37
13 20
14 43
15 332
16 7
17 34
18 223
19 38
20 335

About Xian-Cheng Jiang

Xian-Cheng Jiang is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cholesterol and Lipid Metabolism (5 papers) and Sphingolipid Metabolism and Signaling (5 papers). The work is most often cited by research in Biochemistry (180 citations), Endocrinology, Diabetes and Metabolism (300 citations) and Cardiology and Cardiovascular Medicine (375 citations). Xian-Cheng Jiang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Alan R. Tall, Roberta G. Reed, Thomas A. Pearson, Furcy Paultre, Charles K. Francis, Lars Berglund, Xiao Xiao, Chunping Qiao, Tae‐Sik Park and Hye Lim Noh. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

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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