Xiaobo Yang

769 total citations
22 papers, 370 citations indexed

About

Xiaobo Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Surgery. According to data from OpenAlex, Xiaobo Yang has authored 22 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Reproductive Medicine and 4 papers in Surgery. Recurrent topics in Xiaobo Yang's work include Hormonal and reproductive studies (11 papers), Hypothalamic control of reproductive hormones (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Xiaobo Yang is often cited by papers focused on Hormonal and reproductive studies (11 papers), Hypothalamic control of reproductive hormones (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Xiaobo Yang collaborates with scholars based in China, Finland and Italy. Xiaobo Yang's co-authors include Zengnan Mo, Haiying Zhang, Xue Qin, Yong Gao, Aihua Tan, Linjian Mo, Ming Liao, Ning Xia, Tao Peng and Chunlei Wu and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Xiaobo Yang

21 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Yang China 10 185 67 63 59 55 22 370
Ayush Giri United States 13 63 0.3× 58 0.9× 14 0.2× 94 1.6× 33 0.6× 34 551
Ufuk Özuğuz Türkiye 14 220 1.2× 49 0.7× 10 0.2× 56 0.9× 42 0.8× 34 507
Taylan Kabalak Türkiye 15 305 1.6× 80 1.2× 82 1.3× 74 1.3× 19 0.3× 32 613
Thanh Van Nguyen Vietnam 10 33 0.2× 108 1.6× 169 2.7× 65 1.1× 37 0.7× 19 532
Soha M. Abd El Dayem Egypt 13 117 0.6× 91 1.4× 33 0.5× 77 1.3× 6 0.1× 51 449
João Lindolfo Cunha Borges Brazil 14 139 0.8× 104 1.6× 181 2.9× 39 0.7× 41 0.7× 25 611
Anna Rita Maurizi Italy 10 141 0.8× 88 1.3× 103 1.6× 25 0.4× 6 0.1× 20 415
Charles Chestnut United States 7 96 0.5× 49 0.7× 91 1.4× 25 0.4× 15 0.3× 16 408
Giancarlo Prossomariti Italy 8 109 0.6× 94 1.4× 129 2.0× 46 0.8× 12 0.2× 9 447
Riccardo Giorgino Italy 8 122 0.7× 134 2.0× 30 0.5× 97 1.6× 14 0.3× 15 497

Countries citing papers authored by Xiaobo Yang

Since Specialization
Citations

This map shows the geographic impact of Xiaobo Yang'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 Xiaobo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Yang more than expected).

Fields of papers citing papers by Xiaobo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaobo Yang. 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 Xiaobo Yang. The network helps show where Xiaobo Yang may publish in the future.

Co-authorship network of co-authors of Xiaobo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Yang. A scholar is included among the top collaborators of Xiaobo Yang 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 Xiaobo Yang. Xiaobo Yang 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.
Fu, Hua, Zisheng Ai, Ziwei Huang, et al.. (2025). Coptidis Rhizome alleviates dexamethasone- and fructose-induced metabolic disorder in rats as an inducer of HO-1 agonist via erythrocyte metabolism. Journal of Ethnopharmacology. 355(Pt B). 120713–120713.
2.
Yang, Xiaobo, et al.. (2024). Body surface area is a predictor of 90-day all-cause mortality in critically ill patients with acute kidney injury. Injury. 55(6). 111544–111544. 1 indexed citations
3.
Bao, Mengying, Yajie Guo, Aihua Tan, et al.. (2020). rs2274911 polymorphism in GPRC6A associated with serum E2 and PSA in a Southern Chinese male population. Gene. 763. 145067–145067. 4 indexed citations
4.
Zhang, Xiaoyun, et al.. (2019). Reliability analysis of vehicle speed estimation based on uncertainty of information obtained on accident scene. International Journal of Crashworthiness. 24(4). 472–485. 5 indexed citations
5.
Zhang, Xiaoyun, et al.. (2019). Traffic Accident Reconstruction Based on Occupant Trajectories and Trace Identification. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 5(2). 5 indexed citations
6.
Zhang, Xiaoyun, et al.. (2019). Research of non-linear frictional contact model in vehicle-pedestrian accidents based on computer simulation. International Journal of Crashworthiness. 25(4). 351–359. 1 indexed citations
8.
Chen, Yang, Jie Li, Jinling Liao, et al.. (2018). Potential Protective Effect of Osteocalcin in Middle-Aged Men with Erectile Dysfunction: Evidence from the FAMHES Project. Scientific Reports. 8(1). 6721–6721. 3 indexed citations
9.
Zhang, Xiaoyun, et al.. (2018). Numerical simulation and analysis of influencing factors of vehicle–pedestrian accidents in untypical contact state. International Journal of Crashworthiness. 24(3). 286–295. 3 indexed citations
10.
11.
Ye, Juan, Ziting Yao, Aihua Tan, et al.. (2017). Low Serum Sex Hormone-Binding Globulin Associated with Insulin Resistance in Men with Nonalcoholic Fatty Liver Disease. Hormone and Metabolic Research. 49(5). 359–364. 20 indexed citations
12.
Tan, Aihua, Xiaobo Yang, Ming Liao, et al.. (2015). Low osteocalcin level is a risk factor for impaired glucose metabolism in a Chinese male population. Journal of Diabetes Investigation. 7(4). 522–528. 15 indexed citations
13.
Zhang, Jian, et al.. (2014). Alemtuzumab versus interferon beta 1a for relapsing-remitting multiple sclerosis. Cochrane Database of Systematic Reviews. 5 indexed citations
14.
Wang, Wei, Xiaobo Yang, Jianbo Liang, et al.. (2013). Cigarette smoking has a positive and independent effect on testosterone levels. HORMONES. 12(4). 567–577. 58 indexed citations
15.
Liu, Zhenfang, Haiying Zhang, Yong Gao, et al.. (2013). The Association between the Levels of Serum Ferritin and Sex Hormones in a Large Scale of Chinese Male Population. PLoS ONE. 8(10). e75908–e75908. 22 indexed citations
16.
Liao, Ming, Xiaoxiang Yu, Shijun Zhang, et al.. (2013). Role of Metabolic Factors in the Association Between Osteocalcin and Testosterone in Chinese Men. The Journal of Clinical Endocrinology & Metabolism. 98(8). 3463–3469. 21 indexed citations
17.
Liao, Ming, Xianghua Huang, Yong Gao, et al.. (2012). Testosterone Is Associated with Erectile Dysfunction: A Cross-Sectional Study in Chinese Men. PLoS ONE. 7(6). e39234–e39234. 25 indexed citations
18.
Qin, Xue, Zengnan Mo, Zhiping Chen, et al.. (2012). Reference intervals for serum sex hormones in Han Chinese adult men from the Fangchenggang Area Male Health and Examination Survey.. PubMed. 58(3-4). 281–90. 8 indexed citations
19.
Li, Shan, Shan Huang, Zengnan Mo, et al.. (2012). Generating a reference interval for fasting serum insulin in healthy nondiabetic adult Chinese men.. PubMed. 53(12). 821–5. 10 indexed citations
20.
Tan, Aihua, Yong Gao, Xiaobo Yang, et al.. (2011). Low serum osteocalcin level is a potential marker for metabolic syndrome: results from a Chinese male population survey. Metabolism. 60(8). 1186–1192. 96 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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