Changhong Ding

939 citations
70 papers · 637 · h-index 12

Impact in

Papers in

    • Mitochondrial Function and Pathology 8
    • RNA regulation and disease 6
    • Autoimmune Neurological Disorders and Treatments 6

Changhong Ding

64 papers receiving 635 citations

Peers

Changhong Ding
Comparison fields: 5 of 71
  • Biomaterials 252
  • Clinical Biochemistry 47
  • Mechanical Engineering 222
  • Neurology 51
  • Materials Chemistry 168
Replace Zsuzsanna Farkas with:
Zsuzsanna Farkas Hungary
Chad D. Markert United States
H. Nemetschek-Gansler Germany
Khôi Nguyen United States
Ignasi Jorba Spain
Kiyokazu Kametani Japan
Aung Aung Kywe Moe Australia
Mark McCauley United States
Benjamin Lam United States
Don-Ching Lee Taiwan
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Citations per field
00.5×10×15×20×23.5×
Zsuzsanna Farkas · 1×
Citations per year

Countries citing papers authored by Changhong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Changhong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014152
2 201568
3 201934
4 201729
5 201526
6 201425
7 201223
8 202222
9 201920
10 202015
11 201712
12 202012
13 202111
14 201911
15 200910
16 20189
17 20228
18 20198
19 20107
20 20197

About Changhong Ding

Changhong Ding is a scholar working on Molecular Biology, Neurology, Genetics, Clinical Biochemistry and Genetics, having authored 70 papers that have together received 637 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (10 papers), Mitochondrial Function and Pathology (8 papers), Genetics and Neurodevelopmental Disorders (7 papers), Genomics and Rare Diseases (7 papers), RNA regulation and disease (6 papers), Autoimmune Neurological Disorders and Treatments (6 papers), Magnesium Alloys: Properties and Applications (5 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Biomaterials (252 citations), Clinical Biochemistry (47 citations), Mechanical Engineering (222 citations), Neurology (51 citations) and Materials Chemistry (168 citations). Changhong Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Changfa Guo, Renlong Xin, Qing Liu, Bo Song, Fang Fang, Yingchun Liang, Bingshu Wang, Lifang Dai, Li‐Ping Zou and Jiuwei Li. Their work appears in journals such as Pediatric Neurology, Materials Science and Engineering A, Frontiers in Pharmacology, Clinical Neurology and Neurosurgery and Brain and Development.

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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