Ding Ding

603 citations
21 papers · 358 · h-index 11

Impact in

Papers in

Ding Ding

18 papers receiving 357 citations

Peers

Ding Ding
Comparison fields: 5 of 64
  • Psychiatry and Mental health 154
  • Neuropsychology and Physiological Psychology 5
  • Geriatrics and Gerontology 10
  • Neurology 24
  • Cognitive Neuroscience 52
Replace Sarah L. Aghjayan with:
Sarah L. Aghjayan United States
Dana M. Swenson-Dravis United States
Adalberto Studart‐Neto Brazil
Sabela C. Mallo Spain
Anna Pink United States
Francine Parfitt United States
Paula Iso‐Markku Finland
Miguel Ángel Muñoz‐Ruiz Finland
Alexander Koppara Germany
Ding Ding relative to Sarah L. Aghjayan United States Sarah L. Aghjayan's profile →
Citations per field
00.5×1.7×
Sarah L. Aghjayan · 1×
Citations per year

Countries citing papers authored by Ding Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ding Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015108
2 202154
3 202235
4 202030
5 202130
6 201016
7 202215
8 202314
9 201012
10 201911
11 202311
12 20209
13 20243
14 20253
15 20093
16 20232
17 20091
18 20241
19 20250
20 20250

About Ding Ding

Ding Ding is a scholar working on Psychiatry and Mental health, Infectious Diseases, Health, Geriatrics and Gerontology and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (12 papers), Epilepsy research and treatment (3 papers), Genomics and Rare Diseases (1 paper), Tuberculosis Research and Epidemiology (1 paper), Frailty in Older Adults (1 paper), Retinal Imaging and Analysis (1 paper), Health, Environment, Cognitive Aging (1 paper) and Health disparities and outcomes (1 paper). The work is most often cited by research in Psychiatry and Mental health (154 citations), Neuropsychology and Physiological Psychology (5 citations), Geriatrics and Gerontology (10 citations), Neurology (24 citations) and Cognitive Neuroscience (52 citations). Ding Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qianhua Zhao, Xiaoniu Liang, Qihao Guo, Zhenxu Xiao, Wanqing Wu, Zhen Hong, Yan Zhou, Jianfeng Luo, Saineng Ding and Li Zheng. Their work appears in journals such as Alzheimer s & Dementia, Epileptic Disorders, Clinical Interventions in Aging, Clinical Chemistry and Current Alzheimer Research.

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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