Chenyu Ding

1.5k citations
68 papers · 944 indexed · 1 hit paper · h-index 16

Chenyu Ding

60 papers receiving 937 citations

Hit Papers

Global, regional, and national burden and attributable ri...178202220262023202450100150

Peers

Chenyu Ding
Comparison fields: 5 of 128
  • Cancer Research 178
  • Neurology 175
  • Pollution 97
  • Physical Therapy, Sports Therapy and Rehabilitation 27
  • Endocrinology, Diabetes and Metabolism 103
Replace Mafalda Cacciottolo with:
Mafalda Cacciottolo United States
Hongying Zhang China
Giuseppe Perruolo Italy
Chen Jin China
Jun Goto Japan
Shuzhe Ding China
Andrea Montella Italy
Jiangang Zhao China
R Scelsi Italy
Michael K. Altenburg United States
Chenyu Ding relative to Mafalda Cacciottolo United States Mafalda Cacciottolo's profile →
Citations per field
00.5×4.5×
Mafalda Cacciottolo · 1×
Citations per year

Countries citing papers authored by Chenyu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
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5 20242
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8 20240
9 202312
10 20235
11 20229
12 202114
13 2021112
14 20210
15 202121
16 20201
17 202020
18 20197
19 201927
20 20175

About Chenyu Ding

Chenyu Ding is a scholar working on Neurology, Health Informatics, Endocrinology, Diabetes and Metabolism, Genetics and Neurology, having authored 68 papers that have together received 944 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (13 papers), Pituitary Gland Disorders and Treatments (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Meningioma and schwannoma management (9 papers), Glioma Diagnosis and Treatment (6 papers), Wastewater Treatment and Nitrogen Removal (6 papers), Microbial Community Ecology and Physiology (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Cancer Research (178 citations), Neurology (175 citations), Pollution (97 citations), Physical Therapy, Sports Therapy and Rehabilitation (27 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Chenyu Ding has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Dezhi Kang, Yuanxiang Lin, Zanyi Wu, Zhangya Lin, Wenhua Fang, Xiaoyong Chen, Fa Chen, Yuying Wu, Xiyue Wu and Yue Chen. Their work appears in journals such as World Neurosurgery, Frontiers in Oncology, Scientific Reports, Journal of Experimental & Clinical Cancer Research and Chemosphere.

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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