Qingqing Dai

919 total citations
44 papers, 542 citations indexed

About

Qingqing Dai is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Qingqing Dai has authored 44 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Qingqing Dai's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), COVID-19 Clinical Research Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Qingqing Dai is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), COVID-19 Clinical Research Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Qingqing Dai collaborates with scholars based in China, United States and Germany. Qingqing Dai's co-authors include Junfa Li, Shujuan Li, Ting Liu, Song Han, Fei Song, Jiqian Zhang, Song Han, Cui Liu, Fan Huang and Hongchuan Zhao and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Qingqing Dai

41 papers receiving 538 citations

Peers

Qingqing Dai
Comparison fields: 5 of 98
  • Epidemiology 141
  • Molecular Biology 115
  • Neurology 83
  • Surgery 78
  • Pulmonary and Respiratory Medicine 62
Replace Tae Nyoung Chung with:
Tae Nyoung Chung South Korea
Chunjin Gao China
Sebastian Weckbach Germany
Lu Chen China
Caterina Lonati Italy
Lina Gong China
Annette Palmer Germany
Boris Knyazer Israel
Wolfram Keßler Germany
Xiaomei Zhu China
Tae Nyoung Chung South Korea View profile →
Citations per field, relative to Qingqing Dai
Qingqing Dai · 1×
Citations per year, relative to Qingqing Dai
Qingqing Dai · 1×

Countries citing papers authored by Qingqing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qingqing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqing Dai. A scholar is included among the top collaborators of Qingqing Dai 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 Qingqing Dai. Qingqing Dai 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 1
2 9
3 0
4 1
5 34
6 5
7 5
8 2
9 13
10 5
11 1
12 18
13 3
14 11
15 68
16 23
17 11
18 46
19 7
20
[HER2 expression and its prognostic implication in lymph node negative breast carcinoma: a Meta-analysis].
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026