Bing Xing
Impact in
-
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Adrenal Hormones and Disorders
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Pituitary Gland Disorders and Treatments 105
- Growth Hormone and Insulin-like Growth Factors 13
- Genetics 24
- Glioma Diagnosis and Treatment 24
- Co-authors
- Xiaopeng Guo (82 shared papers)Renzhi Wang (81 shared papers)Lu Gao (60 shared papers)Wei Lian (68 shared papers)Yong Yao (63 shared papers)Kan Deng (54 shared papers)Ming Feng (40 shared papers)Zihao Wang (28 shared papers)
- Journals
- Medicine (14 papers)World Neurosurgery (13 papers)Frontiers in Endocrinology (12 papers)Pituitary (5 papers)Frontiers in Oncology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bing Xing
170 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 307
- Cancer Research 229
- Neurology 130
- Health Informatics 12
Countries citing papers authored by Bing Xing
This map shows the geographic impact of Bing Xing'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 Bing Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Xing more than expected).
Fields of papers citing papers by Bing Xing
This network shows the impact of papers produced by Bing Xing. 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 Bing Xing. The network helps show where Bing Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Xing, 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 101 | |
| 2 | 2015 | 88 | |
| 3 | 2019 | 81 | |
| 4 | 2017 | 53 | |
| 5 | 2019 | 51 | |
| 6 | 2016 | 49 | |
| 7 | 2014 | 48 | |
| 8 | 2023 | 46 | |
| 9 | 2013 | 45 | |
| 10 | 2017 | 43 | |
| 11 | 2017 | 40 | |
| 12 | 2014 | 39 | |
| 13 | 2020 | 38 | |
| 14 | 2015 | 33 | |
| 15 | 2017 | 33 | |
| 16 | 2016 | 33 | |
| 17 | 2013 | 32 | |
| 18 | 2007 | 31 | |
| 19 | 2023 | 31 | |
| 20 | 2016 | 31 |
About Bing Xing
Bing Xing is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Surgery and Cancer Research, having authored 181 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (105 papers), Glioma Diagnosis and Treatment (24 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Adrenal and Paraganglionic Tumors (9 papers), Meningioma and schwannoma management (6 papers), TGF-β signaling in diseases (5 papers), Ferroptosis and cancer prognosis (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (307 citations), Cancer Research (229 citations), Neurology (130 citations) and Health Informatics (12 citations). Bing Xing has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaopeng Guo, Renzhi Wang, Lu Gao, Wei Lian, Yong Yao, Kan Deng, Ming Feng, Zihao Wang, Xinjie Bao and Wenbin Ma. Their work appears in journals such as Medicine, World Neurosurgery, Frontiers in Endocrinology, 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.