Bing Xing

3.5k total citations
177 papers, 2.3k citations indexed

About

Bing Xing is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Bing Xing has authored 177 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Endocrinology, Diabetes and Metabolism, 50 papers in Surgery and 38 papers in Genetics. Recurrent topics in Bing Xing's work include Pituitary Gland Disorders and Treatments (119 papers), Growth Hormone and Insulin-like Growth Factors (52 papers) and Glioma Diagnosis and Treatment (36 papers). Bing Xing is often cited by papers focused on Pituitary Gland Disorders and Treatments (119 papers), Growth Hormone and Insulin-like Growth Factors (52 papers) and Glioma Diagnosis and Treatment (36 papers). Bing Xing collaborates with scholars based in China, United States and Hong Kong. Bing Xing's co-authors include Xiaopeng Guo, Renzhi Wang, Lu Gao, Wei Lian, Yong Yao, Kan Deng, Ming Feng, Zihao Wang, Xinjie Bao and Wenbin Ma and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Journal of neurosurgery.

In The Last Decade

Bing Xing

168 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bing Xing China 27 1.1k 584 456 444 433 177 2.3k
Lu Gao China 25 480 0.4× 289 0.5× 218 0.5× 390 0.9× 220 0.5× 112 1.8k
Stefano Ferrero Italy 27 531 0.5× 535 0.9× 164 0.4× 679 1.5× 441 1.0× 121 2.3k
Bobby P. C. Koeleman Netherlands 30 322 0.3× 697 1.2× 882 1.9× 757 1.7× 276 0.6× 72 5.3k
Luis Miguel Marín Gómez Spain 19 343 0.3× 721 1.2× 318 0.7× 234 0.5× 385 0.9× 86 1.6k
Lisa Zhang United States 25 643 0.6× 523 0.9× 137 0.3× 661 1.5× 212 0.5× 75 2.0k
Mahsa M. Amoli Iran 26 371 0.3× 345 0.6× 177 0.4× 838 1.9× 274 0.6× 186 2.7k
Christopher S. Graffeo United States 24 335 0.3× 749 1.3× 368 0.8× 219 0.5× 925 2.1× 271 2.7k
Mustafa Ascha United States 16 308 0.3× 209 0.4× 280 0.6× 283 0.6× 1.0k 2.3× 58 2.0k
Alois Gessl Austria 28 1.1k 1.0× 493 0.8× 82 0.2× 527 1.2× 267 0.6× 87 2.6k
Thomas B. Crotty United States 29 397 0.4× 782 1.3× 216 0.5× 1.1k 2.4× 402 0.9× 64 3.8k

Countries citing papers authored by Bing Xing

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bing Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Xing. A scholar is included among the top collaborators of Bing Xing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Xing. Bing Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Xiaopeng, Mengqi Chang, Wenhua Li, et al.. (2025). Immune atlas of pituitary neuroendocrine tumors highlights endocrine-driven immune signature and therapeutic implication. Cell Reports. 44(5). 115584–115584. 1 indexed citations
2.
3.
Wang, Yaning, Zihao Wang, Xiao-Peng Guo, et al.. (2024). Artificial neural network identified a 20‐gene panel in predicting immunotherapy response and survival benefits after anti‐PD1/PD‐L1 treatment in glioblastoma patients. Cancer Medicine. 13(9). e7218–e7218. 3 indexed citations
4.
5.
Cao, Feng, Bing Xing, Jiancheng Luo, et al.. (2023). An Efficient Object Detection Algorithm Based on Improved YOLOv5 for High-Spatial-Resolution Remote Sensing Images. Remote Sensing. 15(15). 3755–3755. 12 indexed citations
6.
Wang, Zihao, Yaning Wang, Mengqi Chang, et al.. (2023). Single-cell transcriptomic analyses provide insights into the cellular origins and drivers of brain metastasis from lung adenocarcinoma. Neuro-Oncology. 25(7). 1262–1274. 40 indexed citations
7.
Xing, Bing, Jian Zhen Yu, Ying Liu, et al.. (2023). High Dietary Zinc Intake Is Associated with Shorter Leukocyte Telomere Length, Mediated by Tumor Necrosis Factor-α: A Study of China Adults. The journal of nutrition health & aging. 27(10). 904–910. 4 indexed citations
8.
Chou, Yuyu, Xuqian Wang, Ye Wang, et al.. (2022). Early Retinal Microcirculation in Nonfunctioning Pituitary Adenomas Without Visual Field Defects Using Optical Coherence Tomography Angiography. Journal of Neuro-Ophthalmology. 42(4). 509–517. 4 indexed citations
9.
Duan, Lian, Yong Yao, Kan Deng, et al.. (2022). Efficacy and adverse events of octreotide long-acting release in acromegaly: a real-world retrospective study. Annals of Translational Medicine. 10(13). 734–734. 5 indexed citations
10.
Guo, Xiaopeng, et al.. (2020). The Initial Stage of Neurosurgery in China: Contributions from Peking Union Medical College Hospital. World Neurosurgery. 149. 32–37. 2 indexed citations
11.
12.
Wang, Zihao, Lu Gao, Xiaopeng Guo, et al.. (2019). Clinical Characteristics and Postoperative Recovery of Hypopituitarism in Patients with Nonfunctional Pituitary Adenoma. World Neurosurgery. 126. e1183–e1189. 17 indexed citations
13.
Guo, Xiaopeng, Tian Meng, Jiuzuo Huang, et al.. (2018). 3D Facial Analysis in Acromegaly: Gender-Specific Features and Clinical Correlations. Frontiers in Endocrinology. 9. 722–722. 14 indexed citations
14.
Liu, Xiao-Hai, Lu Gao, Xiaopeng Guo, et al.. (2017). Risk Factors and Microbiology of Meningitis and/or Bacteremia After Transsphenoidal Surgery for Pituitary Adenoma. World Neurosurgery. 110. e851–e863. 20 indexed citations
15.
Zhao, Yi, Hui Zhang, Wei Lian, et al.. (2017). Collision tumors composed of meningioma and growth hormone-secreting pituitary adenoma in the sellar region. Medicine. 96(50). e9139–e9139. 20 indexed citations
16.
Lian, Wei, Bing Xing, Ming Feng, et al.. (2017). The clinical characteristics and microsurgical therapy of pituitary adenomas in elderly patients: A retrospective study of 130 cases. Journal of Clinical Neuroscience. 46. 13–16. 8 indexed citations
17.
Lian, Wei, et al.. (2016). Curative effects of head γ-SRT for the treatment of functional pituitary macroadenoma. Oncology Letters. 12(2). 893–896. 1 indexed citations
18.
Kong, Xiangyi, Jian Guan, Wenbin Ma, et al.. (2016). CD34 Over-Expression is Associated With Gliomas’ Higher WHO Grade. Medicine. 95(7). e2830–e2830. 29 indexed citations
19.
Liu, Nian, Wei Lian, Renzhi Wang, Bing Xing, & Yong Yao. (2015). [Causes and treatment of acute visual dysfunction after transsphenoidal surgery of pituitary adenoma].. PubMed. 95(5). 330–3. 1 indexed citations
20.
Xing, Bing, Renzhi Wang, Wei Lian, Yong Yao, & Kan Deng. (2014). Diagnosis and treatment characteristics of patients with pituitary adenomas having onset symptom of hyponatremia. Chinese Journal of Neuromedicine. 13(6). 627–629. 2 indexed citations

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.

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