Weier Dai
Impact in
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
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- Cancer-related molecular mechanisms research
Papers in
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- Systemic Lupus Erythematosus Research 5
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- Gut microbiota and health 4
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 1
- Glycosylation and Glycoproteins Research 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Donge Tang (27 shared papers)Yong Dai (27 shared papers)Fengping Zheng (13 shared papers)Xiaoping Hong (11 shared papers)Dongzhou Jeffrey Liu (11 shared papers)Lianghong Yin (12 shared papers)Jingquan He (6 shared papers)Chengxin Zhu (3 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Aging (2 papers)Journal of Translational Medicine (2 papers)The Nephron journals/Nephron journals (1 paper)Hereditas (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Weier Dai
28 papers receiving 468 citations
Peers
Comparison fields: 5 of 74
- Rheumatology 97
- Cancer Research 65
- Immunology 76
- Molecular Biology 246
- Gastroenterology 15
Countries citing papers authored by Weier Dai
This map shows the geographic impact of Weier 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 Weier Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weier Dai more than expected).
Fields of papers citing papers by Weier Dai
This network shows the impact of papers produced by Weier 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 Weier Dai. The network helps show where Weier Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Weier Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2021 | 70 | |
| 3 | 2022 | 48 | |
| 4 | 2019 | 29 | |
| 5 | 2022 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 6 |
About Weier Dai
Weier Dai is a scholar working on Rheumatology, Molecular Biology, Nephrology, Immunology and Cancer Research, having authored 28 papers that have together received 474 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (5 papers), Gut microbiota and health (4 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (1 paper), Glycosylation and Glycoproteins Research (1 paper), Diet and metabolism studies (1 paper), Pluripotent Stem Cells Research (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Rheumatology (97 citations), Cancer Research (65 citations), Immunology (76 citations), Molecular Biology (246 citations) and Gastroenterology (15 citations). Weier Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Donge Tang, Yong Dai, Fengping Zheng, Xiaoping Hong, Dongzhou Jeffrey Liu, Lianghong Yin, Jingquan He, Chengxin Zhu, Yumei O. Chen and Wanxia Cai. Their work appears in journals such as Frontiers in Immunology, Aging, Journal of Translational Medicine, The Nephron journals/Nephron journals and Hereditas.
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.