Ding Ding

1.7k citations
52 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Ding Ding

51 papers receiving 1.2k citations

Ding Ding's Hit Papers

Prevalence of Autism Spectrum Disorder in China: A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years 2020 · 312 citations
3120+2+4Years since publication100200300

Peers

Ding Ding
Comparison fields: 5 of 75
  • Psychiatry and Mental health 243
  • Cognitive Neuroscience 229
  • Sensory Systems 37
  • Transportation 35
  • Periodontics 18
Replace Jihui Lv with:
Jihui Lv China
Pablo Toro Chile
Qiongqiong Qiu China
Shuman Cao China
Liyong Wu China
Muni Tang China
Gunilla Johansson Sweden
Liyuan Huang China
Ana García‐Blanco Spain
Ding Ding relative to Jihui Lv China Jihui Lv's profile →
Citations per field
00.5×5×12.3×
Jihui Lv · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of Autism Spectrum Disorder in China: A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years
Hit paper breakdown →
2020312
2 202380
3 202173
4 202173
5 202362
6 202259
7 202054
8 202043
9 202037
10 201631
11 202131
12 201729
13 202225
14 202024
15 202422
16 202019
17 202219
18 202117
19 202015
20 202315

About Ding Ding

Ding Ding is a scholar working on Psychiatry and Mental health, Sensory Systems, Neurology, Periodontics and Cognitive Neuroscience, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (23 papers), Olfactory and Sensory Function Studies (4 papers), Alzheimer's disease research and treatments (3 papers), Gut microbiota and health (3 papers), Cerebrovascular and genetic disorders (3 papers), Oral microbiology and periodontitis research (2 papers), Hormonal and reproductive studies (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Psychiatry and Mental health (243 citations), Cognitive Neuroscience (229 citations), Sensory Systems (37 citations), Transportation (35 citations) and Periodontics (18 citations). Ding Ding has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Qianhua Zhao, Zhenxu Xiao, Wanqing Wu, Xiaoniu Liang, Jianfeng Luo, Li Zheng, Saineng Ding, Zhen Hong, XinQi Dong and Ying Hua Xu. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Aging Neuroscience, Neuroepidemiology, Alzheimer s Research & Therapy and Journal of Alzheimer s Disease.

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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