Yana Qi

864 total citations
50 papers, 519 citations indexed

About

Yana Qi is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Yana Qi has authored 50 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Pediatrics, Perinatology and Child Health and 11 papers in Obstetrics and Gynecology. Recurrent topics in Yana Qi's work include Pregnancy and preeclampsia studies (8 papers), Gestational Diabetes Research and Management (7 papers) and Maternal and fetal healthcare (6 papers). Yana Qi is often cited by papers focused on Pregnancy and preeclampsia studies (8 papers), Gestational Diabetes Research and Management (7 papers) and Maternal and fetal healthcare (6 papers). Yana Qi collaborates with scholars based in China, Canada and Australia. Yana Qi's co-authors include Xin Sun, Mingyong Han, Jing Tan, Kang Zou, Yiquan Xiong, Ranran Li, Xiuwen Wang, Heng Lu, Qiong Wang and Yuting He and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Yana Qi

43 papers receiving 513 citations

Peers

Yana Qi

ONCOL

PPCH

Kyu Ri Hwang South Korea

Cruz Velasco United States

Alberta Ferrari Italy

Hiroki Ishibashi Japan

Olivier Colomban France

Margarita Cariolou United Kingdom

Henrik Lajer Denmark

Noorie Hyun United States

Manish Gupta India

Leslie R. Boyd United States

Kyu Ri Hwang South Korea

Yana Qi

109 ×0.8

ONCOL

98 ×1.1

93 ×1.0

65 ×0.8

PPCH

90 ×1.1

Citations per year, relative to Yana Qi Yana Qi (= 1×) peers Kyu Ri Hwang

Countries citing papers authored by Yana Qi

Since Specialization

Citations

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

Fields of papers citing papers by Yana Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Yana Qi. A scholar is included among the top collaborators of Yana Qi 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 Yana Qi. Yana Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Qi, Yana, et al.. (2025). A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients. Frontiers in Immunology. 16. 1530279–1530279. 2 indexed citations

Zhang, Haoling, Rui Zhao, Xuemei Wang, et al.. (2025). Interruption of mitochondrial symbiosis is associated with the development of osteoporosis. Frontiers in Endocrinology. 16. 1488489–1488489.

Qi, Yana, Jie Gong, Kai Zhao, et al.. (2025). Adherence to the cMIND and AIDD diets and their associations with anxiety in older adults in China. Frontiers in Nutrition. 12. 1548072–1548072.

Wang, Ziyi, et al.. (2025). Multimorbidity patterns and influencing factors in older Chinese adults: a national population-based cross-sectional survey. Journal of Global Health. 15. 4051–4051. 1 indexed citations

Qi, Yana, et al.. (2025). Clinical outcomes of conversion surgery following neoadjuvant chemoimmunotherapy in potentially resectable stage IIIA/IIIB non-small cell lung. Scientific Reports. 15(1). 18422–18422.

Chen, Ning, Liyu Huang, Mengnan Zhao, et al.. (2025). Trends in diet structural composition and quality among adults in Beijing, China (2010–2022). Frontiers in Nutrition. 12. 1610823–1610823.

Qi, Yana, et al.. (2024). Tumor-associated macrophages induce epithelial-mesenchymal transition and promote lung metastasis in breast cancer by activating the IL-6/STAT3/TGM2 axis. International Immunopharmacology. 143(Pt 2). 113387–113387. 4 indexed citations

Qi, Yana, Weijing Liu, Ya Huang, et al.. (2023). A nomogram for predicting breast cancer specific survival in elderly patients with breast cancer: a SEER population-based analysis. BMC Geriatrics. 23(1). 594–594. 13 indexed citations

Tan, Jing, Yiquan Xiong, Yana Qi, et al.. (2023). Investigation of statistical methods used in prognostic prediction models for obstetric care: A 10 year‐span cross‐sectional study. Acta Obstetricia Et Gynecologica Scandinavica. 103(3). 611–620. 1 indexed citations

10.

Wang, Jing, Yiquan Xiong, Yana Qi, et al.. (2023). Impact of maternal hepatitis B carrier status on congenital abnormalities: a systematic review and meta-analysis. BMJ Open. 13(3). e066017–e066017. 2 indexed citations

11.

Li, Mingxi, Meng Chen, Hongcai Shang, et al.. (2022). Effects of Motherwort Injection Versus Intramuscular Oxytocin for Preventing Postpartum Hemorrhage Among Women Who Underwent Cesarean Section. Frontiers in Pharmacology. 13. 859495–859495. 4 indexed citations

12.

Xiong, Yiquan, Jing Wang, Yana Qi, et al.. (2022). Dose–response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study. Reproductive Biology and Endocrinology. 20(1). 92–92. 3 indexed citations

13.

Tan, Jing, Min Yang, Yuan‐Mei Liao, et al.. (2020). Development and validation of a prediction model on severe maternal outcomes among pregnant women with pre-eclampsia: a 10-year cohort study. Scientific Reports. 10(1). 15590–15590. 12 indexed citations

14.

Tan, Jing, Mengyuan Yang, Yuan‐Mei Liao, et al.. (2020). PIH1 Development and Validation of a Prediction MODEL on Severe Maternal Outcomes Among Pregnant Women with PRE-Eclampsia: A 10-Year Cohort Study. Value in Health Regional Issues. 22. S44–S44. 1 indexed citations

15.

Tan, Jing, Yana Qi, Jing Zhang, et al.. (2019). The mediation effect of multiple gestations on the association between in vitro fertilisation and severe maternal morbidities: a retrospective cohort study. BMJ Open. 9(7). e022670–e022670. 6 indexed citations

16.

Tan, Jing, Yana Qi, Yiquan Xiong, et al.. (2019). The use of rigorous methods was strongly warranted among prognostic prediction models for obstetric care. Journal of Clinical Epidemiology. 115. 98–105. 4 indexed citations

17.

Tan, Jing, Yana Qi, Peng Chen, et al.. (2018). The pattern of gestational weight gains among Chinese women: a repeated measure analysis. Scientific Reports. 8(1). 15865–15865. 6 indexed citations

18.

Tan, Jing, Yana Qi, Guolin He, et al.. (2018). Association between Maternal Weight Indicators and Iron Deficiency Anemia during Pregnancy. Chinese Medical Journal. 131(21). 2566–2574. 18 indexed citations

19.

Wang, Qiong, Li Liu, Hui Li, et al.. (2016). Effects of High-Order Interactions among IGFBP-3 Genetic Polymorphisms, Body Mass Index and Soy Isoflavone Intake on Breast Cancer Susceptibility. PLoS ONE. 11(9). e0162970–e0162970. 9 indexed citations

20.

Li, Hui, et al.. (2016). Genetic Polymorphisms of Insulin-Like Growth Factor 1 and Insulin-Like Growth Factor Binding Protein 3, Xenoestrogen, Phytoestrogen, and Premenopausal Breast Cancer. Current Oncology. 23(1). 17–23. 6 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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