Ji Xu

500 total citations
26 papers, 375 citations indexed

About

Ji Xu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Ji Xu has authored 26 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in Ji Xu's work include Peptidase Inhibition and Analysis (3 papers), Galectins and Cancer Biology (3 papers) and Schizophrenia research and treatment (3 papers). Ji Xu is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Galectins and Cancer Biology (3 papers) and Schizophrenia research and treatment (3 papers). Ji Xu collaborates with scholars based in China, United States and Iran. Ji Xu's co-authors include Hongyong Deng, Xueyong Shen, Xiaoming Liu, Yu Yang, Jinggang Xia, Dong Xu, Yao Wang, S SRINIVASAN, Wei Chen and G BERENSON and has published in prestigious journals such as Cochrane Database of Systematic Reviews, ACS Applied Materials & Interfaces and Schizophrenia Bulletin.

In The Last Decade

Ji Xu

25 papers receiving 370 citations

Peers

Ji Xu
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 84
  • Surgery 83
  • Endocrinology, Diabetes and Metabolism 55
  • Complementary and alternative medicine 54
  • Immunology 54
Replace R. T. Fukui with:
R. T. Fukui Brazil
Manlio Prior Italy
Aletta M. E. Millen South Africa
Rian Q. Landers‐Ramos United States
Adriana Olivares Italy
Maria Elizabeth Rossi da Silva Brazil
Kathleen Nolte Germany
Hayal Güler Türkiye
Eva Dirnberger Austria
R. T. Fukui Brazil View profile →
Citations per field, relative to Ji Xu
Ji Xu · 1×
Citations per year, relative to Ji Xu
Ji Xu · 1×

Countries citing papers authored by Ji Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Xu. A scholar is included among the top collaborators of Ji Xu 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 Ji Xu. Ji Xu 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
# Work Indexed citations
1 4
2 25
3 10
4 6
5 14
6 3
7 11
8 4
9 13
10 8
11
[Midterm follow-up outcomes of ticagrelor on acute ST segment elevation myocardial infarction undergoing emergency percutaneous coronary intervention].
4
12 69
13 3
14 7
15 22
16 17
17 22
18 21
19 1
20 33

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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