Xiaosong Ding

964 citations
29 papers · 565 · h-index 13

Impact in

Papers in

Xiaosong Ding

27 papers receiving 558 citations

Peers

Xiaosong Ding
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 121
  • Cardiology and Cardiovascular Medicine 114
  • Cancer Research 59
  • Oncology 84
  • Internal Medicine 9
Replace Victar Hsieh with:
Victar Hsieh Australia
Cecilia Bosco United Kingdom
Kenji Miwa Japan
Marco Antonio Peña‐Duque Mexico
Junichi Koizumi Japan
Kazuhiko Makino Japan
S. Schauseil Germany
Qiaoyu Shao China
Kavita Shalia India
Rosa M. Agra Spain
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Citations per field
00.5×6.4×
Victar Hsieh · 1×
Citations per year

Countries citing papers authored by Xiaosong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 202169
3 201969
4 201948
5 201944
6 202144
7 202039
8 201430
9 201719
10 201915
11 201214
12 202014
13 201712
14 201910
15 202110
16 20208
17 20167
18 20226
19 20225
20 20215

About Xiaosong Ding

Xiaosong Ding is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 29 papers that have together received 565 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (7 papers), Cardiac Imaging and Diagnostics (4 papers), Coronary Interventions and Diagnostics (2 papers), Sepsis Diagnosis and Treatment (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cardiovascular Function and Risk Factors (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Cardiology and Cardiovascular Medicine (114 citations), Cancer Research (59 citations), Oncology (84 citations) and Internal Medicine (9 citations). Xiaosong Ding has collaborated with scholars based in China and United States. Frequent co-authors include Hongwei Li, Weiping Li, Qingbo Liu, Hui Chen, Bing Hua, Xue-Qiao Zhao, Hui Gao, Hui Chen, Hehe Cui and Yue Zhang. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Journal of Translational Medicine, Journal of the American College of Cardiology, Frontiers in Cardiovascular Medicine and Oncotarget.

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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