Song Ding

2.5k citations
76 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Song Ding

70 papers receiving 1.7k citations

Song Ding's Hit Papers

Mitochondrial quality control in human health and disease 2024 · 99 citations
990+1Years since publication255075

Peers

Song Ding
Comparison fields: 5 of 140
  • Immunology 306
  • Cardiology and Cardiovascular Medicine 273
  • Endocrine and Autonomic Systems 83
  • Computational Mathematics 8
  • Aging 22
Replace Hidetoshi Nakamura with:
Hidetoshi Nakamura Japan
Timothy S. Johnson United Kingdom
Qi Chen China
Yi Huang China
Qing Wang China
Shuntaro Ikeda Japan
Katsuya Tanaka Japan
Mouhamad Alloosh United States
Joachim Schmidt Germany
Chi Liu China
Song Ding relative to Hidetoshi Nakamura Japan Hidetoshi Nakamura's profile →
Citations per field
00.5×2.7×
Hidetoshi Nakamura · 1×
Citations per year

Countries citing papers authored by Song Ding

Since Specialization
Citations

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

Fields of papers citing papers by Song Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003360
2 2014140
3
Mitochondrial quality control in human health and disease
Hit paper breakdown →
202499
4 201997
5 201469
6 201767
7 201663
8 202261
9 202047
10 201646
11 201645
12 200937
13 201832
14 202329
15 201427
16 201423
17 201722
18 201022
19 201521
20 201520

About Song Ding

Song Ding is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (8 papers), Coronary Interventions and Diagnostics (6 papers), Adipose Tissue and Metabolism (4 papers), Retinal Imaging and Analysis (3 papers), Medical Image Segmentation Techniques (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Flow Measurement and Analysis (3 papers). The work is most often cited by research in Immunology (306 citations), Cardiology and Cardiovascular Medicine (273 citations), Endocrine and Autonomic Systems (83 citations), Computational Mathematics (8 citations) and Aging (22 citations). Song Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Pu, Guolian Li, Joanna B. Goldberg, Kieran Ryan, Ann Marie Fitzmaurice, Sheila E. Crowe, Michael F. Smith, Yichao Zhao, Ben He and Ancai Yuan. Their work appears in journals such as International Journal of Cardiology, Frontiers in Cardiovascular Medicine, PLoS ONE, Medicine and International journal of cardiac imaging.

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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