Heling Bao

2.1k total citations · 2 hit papers
73 papers, 1.2k citations indexed

About

Heling Bao is a scholar working on Epidemiology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Heling Bao has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 17 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Heling Bao's work include Cervical Cancer and HPV Research (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers) and Global Cancer Incidence and Screening (15 papers). Heling Bao is often cited by papers focused on Cervical Cancer and HPV Research (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers) and Global Cancer Incidence and Screening (15 papers). Heling Bao collaborates with scholars based in China, Australia and United States. Heling Bao's co-authors include Liwen Fang, Shu Cong, Lınhong Wang, Ning Wang, Baohua Wang, Jing Fan, Yajing Feng, Pei Gao, Yonghua Hu and Ke Lu and has published in prestigious journals such as Gastroenterology, Environmental Pollution and Environment International.

In The Last Decade

Heling Bao

70 papers receiving 1.2k citations

Hit Papers

Chronic obstructive pulmonary disease in China: a nationw... 2018 2026 2020 2023 2018 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heling Bao China 17 492 327 208 156 111 73 1.2k
Guoyou Qin China 17 175 0.4× 131 0.4× 255 1.2× 107 0.7× 44 0.4× 119 1.3k
Ailan Chen China 9 230 0.5× 137 0.4× 247 1.2× 155 1.0× 51 0.5× 22 1.1k
Kevin J. Psoter United States 20 191 0.4× 513 1.6× 186 0.9× 84 0.5× 18 0.2× 101 1.3k
Kevin Y. Urayama Japan 24 180 0.4× 215 0.7× 264 1.3× 152 1.0× 14 0.1× 91 1.8k
Luke O’Donnell United Kingdom 3 257 0.5× 182 0.6× 497 2.4× 37 0.2× 18 0.2× 7 1.8k
Natalie Yip United States 13 230 0.5× 390 1.2× 355 1.7× 33 0.2× 19 0.2× 20 1.7k
Daniel Dedman United Kingdom 16 339 0.7× 441 1.3× 197 0.9× 42 0.3× 32 0.3× 36 1.5k
Yadong Yuan China 11 292 0.6× 365 1.1× 510 2.5× 90 0.6× 10 0.1× 51 3.1k
Yangbo Xing China 9 191 0.4× 117 0.4× 361 1.7× 30 0.2× 29 0.3× 23 1.7k

Countries citing papers authored by Heling Bao

Since Specialization
Citations

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

Fields of papers citing papers by Heling Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heling Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Heling Bao. A scholar is included among the top collaborators of Heling Bao 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 Heling Bao. Heling Bao 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.
Bao, Heling, Liwen Fang, Shu Cong, et al.. (2025). Female Breast Cancer Incidence and Association with Socioeconomic Status in a Population-Based Cohort — China, 2018–2024. China CDC Weekly. 7(10). 341–346.
2.
Xing, Yan, Yuangang Zu, Heling Bao, et al.. (2025). Detection and BI-RADS Classification of Breast Nodules in Urban Women — China, 2021. China CDC Weekly. 7(10). 347–352.
3.
Sun, Yi, Liping Yan, Sailimai Man, et al.. (2024). Association of urban green space with metabolic syndrome and the role of air pollution. Landscape and Urban Planning. 248. 105100–105100. 1 indexed citations
4.
Wang, Bo, Sailimai Man, Heling Bao, et al.. (2024). Variations in the Prevalence of Anemia of Varying Severity Among Urban Non-Pregnant Women — China, 2021. China CDC Weekly. 6(10). 175–180. 1 indexed citations
5.
Shen, Mingwang, Zhuoru Zou, Heling Bao, et al.. (2023). Cost-effectiveness of artificial intelligence-assisted liquid-based cytology testing for cervical cancer screening in China. The Lancet Regional Health - Western Pacific. 34. 100726–100726. 22 indexed citations
6.
Li, Xin, Fang Mei, Heling Bao, et al.. (2023). The Association of Pregnancy with Disease Progression in Patients Previously Treated for Differentiated Thyroid Cancer: A Propensity Score-Matched Retrospective Cohort Study. Journal of Women s Health. 32(11). 1174–1181. 3 indexed citations
7.
Bao, Heling, Liyuan Liu, Shu Cong, et al.. (2023). Breast Cancer Awareness and Association with Frequency of Screening Among Women — China, 2020. China CDC Weekly. 5(15). 327–332. 7 indexed citations
8.
Bao, Heling, Bo Song, Jiangli Di, et al.. (2022). Age‐specific effectiveness of primary human papillomavirus screening versus cytology in a cervical cancer screening program: a nationwide cross‐sectional study. Cancer Communications. 42(3). 191–204. 15 indexed citations
11.
Liu, Zheng, Na Han, Tao Su, et al.. (2022). Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study. Frontiers in Pediatrics. 10. 899954–899954. 3 indexed citations
12.
Wang, Hui, et al.. (2022). Associations between Dynamic Vitamin D Level and Thyroid Function during Pregnancy. Nutrients. 14(18). 3780–3780. 5 indexed citations
13.
Wang, Shi, Ling Li, Jie Yang, et al.. (2021). Comparison of Different HPV-based Strategies and Cytology in Routine Cervical Cancer Screening Programme in China: A Population-based Study. Cancer Prevention Research. 15(1). 45–54. 8 indexed citations
14.
Zhou, Shuang, Yuming Guo, Li‐Zi Lin, et al.. (2021). Individual and joint effects of prenatal green spaces, PM2.5 and PM1 exposure on BMI Z-score of children aged two years: A birth cohort study. Environmental Research. 205. 112548–112548. 3 indexed citations
15.
Bao, Heling, Hui Bi, Xiaosong Zhang, et al.. (2020). Artificial Intelligence-Assisted Cytology for Detection of Cervical Intraepithelial Neoplasia or Invasive Cancer: A Multicenter, Clinical-Based, Observational Study. Obstetrical & Gynecological Survey. 75(12). 741–742. 4 indexed citations
16.
Bao, Heling, Lınhong Wang, Limin Wang, et al.. (2018). [Study on the coverage of cervical and breast cancer screening among women aged 35-69 years and related impact of socioeconomic factors in China, 2013].. PubMed. 39(2). 208–212. 32 indexed citations
18.
Bao, Heling, Yunning Liu, Lijun Wang, et al.. (2017). [Analysis on mortality of cervical cancer and its temporal trend in women in China, 2006-2012].. PubMed. 38(1). 58–64. 6 indexed citations
19.
Y, Li, Shicheng Yu, Yong Jiang, et al.. (2015). [Simulation on design-based and model-based methods in descriptive analysis of complex samples].. PubMed. 49(1). 50–5. 1 indexed citations
20.
Yin, Peng, Mei Zhang, Li Y, et al.. (2012). [Survey of dietary intake of Chinese adults in 2010].. PubMed. 46(8). 692–6. 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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