Wei Lian
Impact in
-
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Pituitary Gland Disorders and Treatments 59
- Growth Hormone and Insulin-like Growth Factors 10
-
- TGF-β signaling in diseases 3
- Co-authors
- Bing Xing (68 shared papers)Kan Deng (44 shared papers)Renzhi Wang (43 shared papers)Yong Yao (42 shared papers)Xiaopeng Guo (33 shared papers)Lu Gao (27 shared papers)Ming Feng (30 shared papers)Xinjie Bao (24 shared papers)
- Journals
- World Neurosurgery (8 papers)Frontiers in Endocrinology (6 papers)Medicine (5 papers)Pituitary (5 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wei Lian
79 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 613
- Genetics 149
- Cancer Research 95
- Epidemiology 146
- Surgery 154
Countries citing papers authored by Wei Lian
This map shows the geographic impact of Wei Lian'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 Wei Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lian more than expected).
Fields of papers citing papers by Wei Lian
This network shows the impact of papers produced by Wei Lian. 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 Wei Lian. The network helps show where Wei Lian may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Lian, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2016 | 49 | |
| 3 | 2013 | 45 | |
| 4 | 2017 | 43 | |
| 5 | 2019 | 41 | |
| 6 | 2017 | 40 | |
| 7 | 2020 | 38 | |
| 8 | 2015 | 33 | |
| 9 | 2017 | 33 | |
| 10 | 2016 | 33 | |
| 11 | 2013 | 32 | |
| 12 | 2020 | 29 | |
| 13 | 2015 | 27 | |
| 14 | 2021 | 27 | |
| 15 | 2014 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2018 | 24 | |
| 19 | 2013 | 24 | |
| 20 | 2018 | 23 |
About Wei Lian
Wei Lian is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (59 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Adrenal and Paraganglionic Tumors (7 papers), Glioma Diagnosis and Treatment (7 papers), Meningioma and schwannoma management (4 papers), Ferroptosis and cancer prognosis (3 papers), TGF-β signaling in diseases (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (613 citations), Genetics (149 citations), Cancer Research (95 citations), Epidemiology (146 citations) and Surgery (154 citations). Wei Lian has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bing Xing, Kan Deng, Renzhi Wang, Yong Yao, Xiaopeng Guo, Lu Gao, Ming Feng, Xinjie Bao, Zihao Wang and Xiaohai Liu. Their work appears in journals such as World Neurosurgery, Frontiers in Endocrinology, Medicine, Pituitary and Frontiers in Oncology.
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.