Yingjun Qian

2.4k total citations
73 papers, 1.7k citations indexed

About

Yingjun Qian is a scholar working on Physiology, Parasitology and Endocrine and Autonomic Systems. According to data from OpenAlex, Yingjun Qian has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 23 papers in Parasitology and 18 papers in Endocrine and Autonomic Systems. Recurrent topics in Yingjun Qian's work include Obstructive Sleep Apnea Research (27 papers), Parasites and Host Interactions (23 papers) and Neuroscience of respiration and sleep (15 papers). Yingjun Qian is often cited by papers focused on Obstructive Sleep Apnea Research (27 papers), Parasites and Host Interactions (23 papers) and Neuroscience of respiration and sleep (15 papers). Yingjun Qian collaborates with scholars based in China, United States and Switzerland. Yingjun Qian's co-authors include Hongliang Yi, Patrick Cyaga Ndimubanzi, Jian Guan, Hai Hong Nguyen, Hélène Carabin, Julie A. Stoner, Christine M. Budke, Huajun Xu, Shankai Yin and Jianyin Zou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yingjun Qian

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjun Qian China 21 592 515 452 353 330 73 1.7k
Javier Nieto Spain 20 404 0.7× 56 0.1× 372 0.8× 20 0.1× 1.3k 4.1× 48 2.5k
Sonia Román Mexico 29 72 0.1× 174 0.3× 232 0.5× 12 0.0× 258 0.8× 138 2.7k
Vimal Kumar Paliwal India 25 156 0.3× 365 0.7× 106 0.2× 104 0.3× 119 0.4× 97 1.9k
Verajit Chotmongkol Thailand 19 217 0.4× 125 0.2× 75 0.2× 447 1.3× 148 0.4× 107 1.2k
Julie Brunet France 21 563 1.0× 83 0.2× 88 0.2× 129 0.4× 169 0.5× 62 1.6k
Barbara Cameron Australia 19 118 0.2× 58 0.1× 228 0.5× 26 0.1× 139 0.4× 45 2.0k
J. R. Claybaugh United States 21 348 0.6× 29 0.1× 366 0.8× 29 0.1× 122 0.4× 63 1.5k
Hüseyîn Çaksen Türkiye 23 34 0.1× 173 0.3× 129 0.3× 35 0.1× 215 0.7× 218 2.0k
Ahuja Gk India 20 71 0.1× 269 0.5× 105 0.2× 90 0.3× 46 0.1× 83 1.4k
Richard Davidson United Kingdom 18 108 0.2× 211 0.4× 87 0.2× 36 0.1× 144 0.4× 66 1.1k

Countries citing papers authored by Yingjun Qian

Since Specialization
Citations

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

Fields of papers citing papers by Yingjun Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjun Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjun Qian. A scholar is included among the top collaborators of Yingjun Qian 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 Yingjun Qian. Yingjun Qian 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.
Li, Hongmei, Jinxin Zheng, Nicholas Midzi, et al.. (2024). Schistosomiasis transmission in Zimbabwe: Modelling based on machine learning. Infectious Disease Modelling. 9(4). 1081–1094. 3 indexed citations
2.
3.
Shen, Chen, et al.. (2023). The Global Spread Pattern of Rat Lungworm Based on Mitochondrial Genetics. Pathogens. 12(6). 788–788. 10 indexed citations
4.
Lv, Shan, Duoquan Wang, Wei Ding, et al.. (2022). Strengthening capacity-building in malaria and schistosomiasis control under China-Africa cooperation: Assessing a case study of Burkina Faso. SHILAP Revista de lepidopterología. 1. 100009–100009. 4 indexed citations
5.
Ma, Xuejiao, Wei Ding, Yingjun Qian, et al.. (2021). Deployment of workforce in global health: what should be the priorities for China?. Global Health Research and Policy. 6(1). 22–22. 4 indexed citations
6.
Li, Hongmei, Yingjun Qian, Kun Yang, et al.. (2021). Assessment of China’s contributions to the Regional Network for Asian Schistosomiasis and Other Helminth Zoonoses: a questionnaire survey. Global Health Research and Policy. 6(1). 7–7.
7.
Xu, Huajun, Yunyan Xia, Xinyi Li, et al.. (2020). Association between obstructive sleep apnea and lipid metabolism during REM and NREM sleep. Journal of Clinical Sleep Medicine. 16(4). 475–482. 24 indexed citations
8.
Qin, Qiaojing, et al.. (2019). The Correlation between Serum Uric Acid and Renal Function in Elderly Chinese Diabetes with Normoalbuminuria. International Journal of Endocrinology. 2019. 1–7. 8 indexed citations
9.
Zhao, Xiaolong, Huajun Xu, Yingjun Qian, et al.. (2019). Abdominal Obesity Is More Strongly Correlated with Obstructive Sleep Apnea than General Obesity in China: Results from Two Separated Observational and Longitudinal Studies. Obesity Surgery. 29(8). 2535–2547. 33 indexed citations
10.
Xu, Huajun, Xiaolong Zhao, Yue Shi, et al.. (2019). Development and validation of a simple-to-use clinical nomogram for predicting obstructive sleep apnea. BMC Pulmonary Medicine. 19(1). 18–18. 47 indexed citations
11.
Zhao, Xiaolong, Huajun Xu, Jianyin Zou, et al.. (2018). Joint interaction effect of metabolic syndrome and obstructive sleep apnea on hypertension. Journal of Clinical Hypertension. 20(8). 1203–1212. 4 indexed citations
12.
Zhang, Lijuan, Yingjun Qian, Hui Dang, et al.. (2017). [Endemic status of schistosomiasis in People's Republic of China in 2016].. PubMed. 29(6). 669–677. 28 indexed citations
13.
Zhang, Lijuan, Yingjun Qian, Hui Dang, et al.. (2016). [Endemic status of schistosomiasis in People's Republic of China in 2015].. PubMed. 28(6). 611–617. 70 indexed citations
14.
Xu, Huajun, Xiaojiao Zheng, Yingjun Qian, et al.. (2016). Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers. Scientific Reports. 6(1). 30958–30958. 59 indexed citations
15.
Zhang, Shaosen, Junfang Xu, Zhigui Xia, et al.. (2014). [Risk assessment for malaria elimination in P. R. China].. PubMed. 32(6). 414–8. 5 indexed citations
16.
Qian, Yingjun, et al.. (2014). [Endemic situation and control progress of taeniasis in western China].. PubMed. 32(3). 229–33. 1 indexed citations
17.
Xia, Zhigui, Ru-Bo Wang, Duoquan Wang, et al.. (2014). China–Africa Cooperation Initiatives in Malaria Control and Elimination. Advances in Parasitology. 86. 319–337. 36 indexed citations
18.
Li, Shi‐Zhu, Yingjun Qian, Kun Yang, et al.. (2012). Successful outcome of an integrated strategy for the reduction of schistosomiasis transmission in an endemically complex area. Geospatial health. 6(2). 215–215. 16 indexed citations
19.
Li, Huazhong, Qiang Wang, Canjun Zheng, et al.. (2010). Development and application of Information System for Parasitic Diseases Control and Prevention.. 22(4). 301–303. 3 indexed citations
20.
Li, Shi‐Zhu, et al.. (2009). Subspecies differentiation of Oncomelania hupensis in mainland of China.. 21(2). 150–153. 4 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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