Congxin Dai
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Pituitary Gland Disorders and Treatments 34
- Genetics 21
- Glioma Diagnosis and Treatment 21
- Co-authors
- Renzhi Wang (39 shared papers)Yong Yao (28 shared papers)Bowen Sun (17 shared papers)Ming Feng (27 shared papers)Jun Ping Kang (10 shared papers)Wenbin Ma (12 shared papers)Xinjie Bao (20 shared papers)Xiaohai Liu (18 shared papers)
- Journals
- Frontiers in Endocrinology (7 papers)Frontiers in Oncology (5 papers)World Neurosurgery (4 papers)Endocrine Practice (3 papers)Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Congxin Dai
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Genetics 265
- Endocrinology, Diabetes and Metabolism 385
- Cancer Research 146
- Immunology 135
- Neurology 41
Countries citing papers authored by Congxin Dai
This map shows the geographic impact of Congxin 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 Congxin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congxin Dai more than expected).
Fields of papers citing papers by Congxin Dai
This network shows the impact of papers produced by Congxin 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 Congxin Dai. The network helps show where Congxin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Congxin 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2016 | 75 | |
| 3 | 2020 | 48 | |
| 4 | 2013 | 46 | |
| 5 | 2018 | 41 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 36 | |
| 8 | 2016 | 35 | |
| 9 | 2013 | 32 | |
| 10 | 2019 | 30 | |
| 11 | 2013 | 28 | |
| 12 | 2019 | 27 | |
| 13 | 2021 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 24 | |
| 16 | 2021 | 24 | |
| 17 | 2013 | 23 | |
| 18 | 2020 | 22 | |
| 19 | 2021 | 22 | |
| 20 | 2021 | 20 |
About Congxin Dai
Congxin Dai is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Oncology, Surgery and Epidemiology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (34 papers), Glioma Diagnosis and Treatment (21 papers), Adrenal and Paraganglionic Tumors (7 papers), Meningioma and schwannoma management (6 papers), Chemokine receptors and signaling (3 papers), Lung Cancer Research Studies (2 papers), Galectins and Cancer Biology (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Genetics (265 citations), Endocrinology, Diabetes and Metabolism (385 citations), Cancer Research (146 citations), Immunology (135 citations) and Neurology (41 citations). Congxin Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Renzhi Wang, Yong Yao, Bowen Sun, Ming Feng, Jun Ping Kang, Wenbin Ma, Xinjie Bao, Xiaohai Liu, Kan Deng and Ran Wang. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Oncology, World Neurosurgery, Endocrine Practice and Endocrinology.
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.