Wei Sha
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
- Developmental Neuroscience top 10%
Papers in
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- Growth Hormone and Insulin-like Growth Factors 16
- Pituitary Gland Disorders and Treatments 5
- Co-authors
- Andrew V. Schally (36 shared papers)Renzhi Cai (34 shared papers)Petra Popovics (7 shared papers)Sung-Cheng Huang (2 shared papers)Andrew Leask (3 shared papers)K.P. Wong (2 shared papers)Xiaoli Zhang (1 shared paper)Tengjiao Cui (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Peptides (4 papers)Scientific Reports (2 papers)Nature Reviews Endocrinology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Wei Sha
48 papers receiving 833 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 316
- Developmental Neuroscience 41
- Biological Psychiatry 22
- Endocrine and Autonomic Systems 46
- Behavioral Neuroscience 24
Countries citing papers authored by Wei Sha
This map shows the geographic impact of Wei Sha'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 Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Sha more than expected).
Fields of papers citing papers by Wei Sha
This network shows the impact of papers produced by Wei Sha. 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 Sha. The network helps show where Wei Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Sha, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 92 | |
| 2 | 2013 | 64 | |
| 3 | 2013 | 59 | |
| 4 | 2017 | 52 | |
| 5 | 2016 | 42 | |
| 6 | 2020 | 39 | |
| 7 | 2015 | 37 | |
| 8 | 2012 | 35 | |
| 9 | 2018 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 2018 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2021 | 21 | |
| 16 | 2014 | 15 | |
| 17 | 2011 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2024 | 13 |
About Wei Sha
Wei Sha is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 837 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (16 papers), Medical Imaging Techniques and Applications (7 papers), Pituitary Gland Disorders and Treatments (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Cancer-related Molecular Pathways (4 papers), Pancreatic function and diabetes (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (316 citations), Developmental Neuroscience (41 citations), Biological Psychiatry (22 citations), Endocrine and Autonomic Systems (46 citations) and Behavioral Neuroscience (24 citations). Wei Sha has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Andrew V. Schally, Renzhi Cai, Petra Popovics, Sung-Cheng Huang, Andrew Leask, K.P. Wong, Xiaoli Zhang, Tengjiao Cui, Ferenc G. Rick and Xianyang Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Peptides, Scientific Reports, Nature Reviews Endocrinology and International Journal of Molecular Sciences.
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.