Xin Su

1.2k citations
48 papers · 852 · h-index 17

Impact in

Papers in

Xin Su

47 papers receiving 838 citations

Peers

Xin Su
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 208
  • Cardiology and Cardiovascular Medicine 163
  • Physiology 170
  • Immunology 133
  • Endocrine and Autonomic Systems 42
Replace Kengo Tomita with:
Kengo Tomita Japan
Tatiana V. Kirichenko Russia
Stefano Ministrini Italy
Xiongzhong Ruan China
Xia Zhong China
Weijun Huang China
Hironori Kitade Japan
Shanmei Shen China
Hilda Vargas‐Robles Mexico
Reiko Ohmori Japan
Xin Su relative to Kengo Tomita Japan Kengo Tomita's profile →
Citations per field
00.5×1.7×
Kengo Tomita · 1×
Citations per year

Countries citing papers authored by Xin Su

Since Specialization
Citations

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

Fields of papers citing papers by Xin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 200971
3 202267
4 201857
5 201955
6 201646
7 202041
8 202136
9 201931
10 201930
11 202226
12 202025
13 202124
14 202023
15 202121
16 202116
17 202116
18 200015
19 201413
20 202011

About Xin Su

Xin Su is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery, having authored 48 papers that have together received 852 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Lipid metabolism and disorders (9 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cardiovascular Disease and Adiposity (4 papers), Cancer-related molecular mechanisms research (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Cardiology and Cardiovascular Medicine (163 citations), Physiology (170 citations), Immunology (133 citations) and Endocrine and Autonomic Systems (42 citations). Xin Su has collaborated with scholars based in China and Japan. Frequent co-authors include Daoquan Peng, Yi Wen Kong, Ye Cheng, Xijie Wu, Dong Chang, Xiang Chen, Bin Wang, Guo‐Ming Zhang, Guanzhong Wu and Juan Zhang. Their work appears in journals such as Clinica Chimica Acta, Molecular Biology Reports, Current Molecular Medicine, Lipids in Health and Disease and International Immunopharmacology.

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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