Dai Cui
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
Papers in
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- Thyroid Cancer Diagnosis and Treatment 12
- Thyroid Disorders and Treatments 6
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- Radio Frequency Integrated Circuit Design 3
- Advanced Semiconductor Detectors and Materials 3
- Semiconductor materials and devices 3
- Co-authors
- Ling Lan (8 shared papers)Lin Jiang (9 shared papers)Xiaoyun Liu (10 shared papers)Michael Derwahl (1 shared paper)Huanhuan Chen (11 shared papers)Yifang Hu (7 shared papers)He Shi (7 shared papers)Xuqin Zheng (6 shared papers)
- Journals
- PLoS ONE (2 papers)Scientific Reports (2 papers)Diabetologia (1 paper)Toxicological Sciences (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dai Cui
40 papers receiving 646 citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 258
- Cancer Research 58
- Health, Toxicology and Mutagenesis 57
- Genetics 96
- Oncology 86
Countries citing papers authored by Dai Cui
This map shows the geographic impact of Dai Cui'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 Dai Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Cui more than expected).
Fields of papers citing papers by Dai Cui
This network shows the impact of papers produced by Dai Cui. 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 Dai Cui. The network helps show where Dai Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Cui, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 81 | |
| 2 | 2013 | 66 | |
| 3 | 2021 | 54 | |
| 4 | 2011 | 35 | |
| 5 | 1999 | 29 | |
| 6 | 2015 | 25 | |
| 7 | 2014 | 24 | |
| 8 | 2009 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2020 | 23 | |
| 11 | 2013 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2013 | 20 | |
| 18 | 2015 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2018 | 16 |
About Dai Cui
Dai Cui is a scholar working on Endocrinology, Diabetes and Metabolism, Electrical and Electronic Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics and Surgery, having authored 43 papers that have together received 667 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Semiconductor Quantum Structures and Devices (6 papers), Thyroid Disorders and Treatments (6 papers), Diabetes and associated disorders (3 papers), Thyroid and Parathyroid Surgery (3 papers), Radio Frequency Integrated Circuit Design (3 papers), Advanced Semiconductor Detectors and Materials (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (258 citations), Cancer Research (58 citations), Health, Toxicology and Mutagenesis (57 citations), Genetics (96 citations) and Oncology (86 citations). Dai Cui has collaborated with scholars based in China, United States and France. Frequent co-authors include Ling Lan, Lin Jiang, Xiaoyun Liu, Michael Derwahl, Huanhuan Chen, Yifang Hu, He Shi, Xuqin Zheng, Bingyin Shi and Yong Luo. Their work appears in journals such as PLoS ONE, Scientific Reports, Diabetologia, Toxicological Sciences and The Journal of Clinical Endocrinology & Metabolism.
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.