Shu Ding

1.2k citations
38 papers · 567 indexed · h-index 10

Impact in

Papers in

Shu Ding

34 papers receiving 554 citations

Peers

Shu Ding
Comparison fields: 5 of 92
  • Critical Care and Intensive Care Medicine 57
  • Cancer Research 151
  • Developmental Neuroscience 40
  • Anesthesiology and Pain Medicine 37
  • Immunology 137
Replace Niyati Lobo with:
Niyati Lobo United Kingdom
Adelais G. Tsiotou Greece
Alison Woodworth United States
Yoon Seok Jung South Korea
Anna Annunziata Italy
Christos Ntais Greece
Yuen-Liang Lai Taiwan
Qianqian Li China
Mengzhen Dong China
André Martignoni Germany
Shu Ding relative to Niyati Lobo United Kingdom Niyati Lobo's profile →
Citations per field
00.5×1.5×2.3×
Niyati Lobo · 1×
Citations per year

Countries citing papers authored by Shu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010285
2 201336
3 201930
4 201624
5 200821
6 199619
7
Increased Th9 cells and IL-9 levels accelerate disease progression in experimental atherosclerosis.
201717
8 202116
9 202212
10 201610
11 20219
12 20178
13 20217
14 20167
15 20186
16 20156
17 20246
18 20226
19 20075
20 20245

About Shu Ding

Shu Ding is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine, Developmental Neuroscience, Health Informatics and Immunology and Allergy, having authored 38 papers that have together received 567 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (10 papers), Anesthesia and Sedative Agents (8 papers), Anesthesia and Neurotoxicity Research (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Cancer-related molecular mechanisms research (3 papers), Long-Term Effects of COVID-19 (2 papers), Airway Management and Intubation Techniques (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (57 citations), Cancer Research (151 citations), Developmental Neuroscience (40 citations), Anesthesiology and Pain Medicine (37 citations) and Immunology (137 citations). Shu Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hai Long, Ming Zhao, Yunsheng Liang, Sha Zhao, Yu Wang, Qianjin Lu, Heng Yin, Ying Wu, Gautam R. Shroff and David T. Gilbertson. Their work appears in journals such as International Journal of Nursing Practice, PLoS ONE, Circulation, Molecules and American Journal of Critical Care.

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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