Dongxue Ding

464 total citations
26 papers, 235 citations indexed

About

Dongxue Ding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Dongxue Ding has authored 26 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Dongxue Ding's work include Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (6 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Dongxue Ding is often cited by papers focused on Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (6 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Dongxue Ding collaborates with scholars based in China, United States and Portugal. Dongxue Ding's co-authors include Lulu Zhang, Hong Jiang, Kun Xia, Beisha Tang, Xiuying Cai, Zhe Long, Rong Qiu, Qi Fang, Feng Cai and Chunrong Wang and has published in prestigious journals such as PLoS ONE, Brain and Scientific Reports.

In The Last Decade

Dongxue Ding

26 papers receiving 235 citations

Peers

Dongxue Ding
Comparison fields: 5 of 59
  • Molecular Biology 108
  • Cellular and Molecular Neuroscience 69
  • Neurology 46
  • Pulmonary and Respiratory Medicine 40
  • Epidemiology 38
Replace Lara M. Fahmy with:
Lara M. Fahmy United States
Alessia Perna Italy
Maria L.V. Dizon United States
Anne-Marie Childs United Kingdom
Alexander Balck Germany
Ye Tu China
G. Papadopoulos Greece
Stephan Neudecker Germany
Erika Brighina Italy
Arash Adami United States
Lara M. Fahmy United States View profile →
Citations per field, relative to Dongxue Ding
Dongxue Ding · 1×
Citations per year, relative to Dongxue Ding
Dongxue Ding · 1×

Countries citing papers authored by Dongxue Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dongxue Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongxue Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Dongxue Ding. A scholar is included among the top collaborators of Dongxue Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongxue Ding. Dongxue Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 10
3 1
4 8
5 1
6 1
7 7
8 10
9 1
10 2
11 15
12 9
13 10
14 5
15 32
16 10
17 14
18 17
19 19
20 5

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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