Weiwei Dai

1.9k citations
44 papers · 1.2k · h-index 22

Impact in

Papers in

    • RNA modifications and cancer 5
    • Bone Metabolism and Diseases 4
    • Glycosylation and Glycoproteins Research 2
    • HIV/AIDS drug development and treatment 4

Weiwei Dai

43 papers receiving 1.2k citations

Peers

Weiwei Dai
Comparison fields: 5 of 108
  • Virology 150
  • Orthopedics and Sports Medicine 164
  • Molecular Biology 512
  • Immunology 140
  • Cancer Research 95
Replace Ji Xiao with:
Ji Xiao China
Hwa‐Young Youn South Korea
Jong Min Kim South Korea
D Dormont France
Alexandra Lucas United States
Manfred W. Beilharz Australia
Amanda S. MacLeod United States
Hilkka Reunanen Finland
Abdul Sattar United Kingdom
Weiwei Dai relative to Ji Xiao China Ji Xiao's profile →
Citations per field
00.5×10×
Ji Xiao · 1×
Citations per year

Countries citing papers authored by Weiwei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011124
2 201594
3 201386
4 201764
5 201361
6 201559
7 202256
8 201350
9 202247
10 201743
11 201841
12 202440
13 201035
14 199632
15 202231
16 201528
17 202025
18 201624
19 202222
20 199622

About Weiwei Dai

Weiwei Dai is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Virology and Orthopedics and Sports Medicine, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), RNA modifications and cancer (5 papers), Bone Metabolism and Diseases (4 papers), HIV/AIDS drug development and treatment (4 papers), Bone health and osteoporosis research (3 papers), Bone health and treatments (3 papers), Retinal Diseases and Treatments (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Virology (150 citations), Orthopedics and Sports Medicine (164 citations), Molecular Biology (512 citations), Immunology (140 citations) and Cancer Research (95 citations). Weiwei Dai has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Nancy E. Lane, Wei Yao, Jean X. Jiang, Min Guan, Robert O. Ritchie, Junjing Jia, Mohammad Shahnazari, Minfeng Shu, Rekha Kar and Lynda F. Bonewald. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bone, The FASEB Journal, Diabetes and Journal of Integrative Medicine.

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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