Na Han

583 total citations · 1 hit paper
24 papers, 405 citations indexed

About

Na Han is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Na Han has authored 24 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Obstetrics and Gynecology, 13 papers in Pediatrics, Perinatology and Child Health and 5 papers in Molecular Biology. Recurrent topics in Na Han's work include Gestational Diabetes Research and Management (12 papers), Pregnancy and preeclampsia studies (9 papers) and Birth, Development, and Health (9 papers). Na Han is often cited by papers focused on Gestational Diabetes Research and Management (12 papers), Pregnancy and preeclampsia studies (9 papers) and Birth, Development, and Health (9 papers). Na Han collaborates with scholars based in China, Netherlands and Italy. Na Han's co-authors include Jue Liu, Min Liu, Min Du, Chunhua Han, Jihong Liu, Liyuan Tao, Ruitong Wang, Shusheng Luo, Haijun Wang and Zhiling Zhao and has published in prestigious journals such as Frontiers in Immunology, Nutrients and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Na Han

21 papers receiving 399 citations

Hit Papers

Acceptance of a COVID-19 vaccine and associated factors a... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Han China 11 239 149 120 83 38 24 405
Shohreh Roozmeh Iran 10 106 0.4× 28 0.2× 60 0.5× 63 0.8× 23 0.6× 18 286
Shixin Yuan China 11 116 0.5× 32 0.2× 78 0.7× 130 1.6× 37 1.0× 26 386
Barbara Baranowska Poland 10 193 0.8× 21 0.1× 136 1.1× 126 1.5× 28 0.7× 56 364
Azam Faraji Iran 10 119 0.5× 8 0.1× 71 0.6× 94 1.1× 18 0.5× 29 293
Emily Fay United States 10 132 0.6× 12 0.1× 101 0.8× 80 1.0× 30 0.8× 45 428
Kelly Clark United States 7 261 1.1× 23 0.2× 156 1.3× 133 1.6× 39 1.0× 18 568
Gabriella Lawrence Israel 8 50 0.2× 17 0.1× 88 0.7× 97 1.2× 16 0.4× 15 254
Doris Cristina Quintero-Lesmes Colombia 11 138 0.6× 29 0.2× 98 0.8× 118 1.4× 16 0.4× 43 374
Eleonora Brillo Italy 9 98 0.4× 35 0.2× 84 0.7× 95 1.1× 12 0.3× 16 332

Countries citing papers authored by Na Han

Since Specialization
Citations

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

Fields of papers citing papers by Na Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Han

This figure shows the co-authorship network connecting the top 25 collaborators of Na Han. A scholar is included among the top collaborators of Na Han 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 Na Han. Na Han 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, Silin, Donghua Zhang, Yongjian Zhou, et al.. (2025). Real-world effectiveness of azvudine versus nirmatrelvir-ritonavir in hospitalized patients with COVID-19 and pre-existing diabetes. iScience. 28(2). 111907–111907.
2.
Tang, Peng, Yuanyuan Wang, Na Han, et al.. (2025). Association between maternal serum essential trace element concentration in early pregnancy and gestational diabetes mellitus. Nutrition and Diabetes. 15(1). 33–33.
3.
Sun, Yin, Yuelong Ji, Nana Liu, et al.. (2023). Optimal Gestational Weight Gain for Women with Gestational Diabetes Mellitus — China, 2011–2021. China CDC Weekly. 5(9). 189–193. 6 indexed citations
4.
Liu, Nana, Haijun Wang, Yin Sun, et al.. (2023). Weekly Weight Gain in Women with Gestational Diabetes Mellitus and Neonatal Birth Weight — China, 2011–2021. China CDC Weekly. 5(32). 703–709. 5 indexed citations
6.
Lindborg, PerMagnus, et al.. (2022). Disturbed Sleep: Estimating Night-time Sound Annoyance at a Hospital Ward. AirIuav (Università Iuav di Venezia). 2607–2614. 1 indexed citations
7.
Du, Min, Jie Yang, Na Han, Min Liu, & Jue Liu. (2021). Association between the COVID-19 pandemic and the risk for adverse pregnancy outcomes: a cohort study. BMJ Open. 11(2). e047900–e047900. 45 indexed citations
8.
Du, Min, Jue Liu, Na Han, et al.. (2021). Maternal sleep quality during early pregnancy, risk factors and its impact on pregnancy outcomes: a prospective cohort study. Sleep Medicine. 79. 11–18. 37 indexed citations
9.
Chen, Ziyi, Na Han, & Aiping Wu. (2021). ImmuCellDB: An Indicative Database of Immune Cell Composition From Different Tissues and Disease Conditions in Mouse and Human. Frontiers in Immunology. 12. 670070–670070. 3 indexed citations
10.
Tao, Liyuan, Ruitong Wang, Na Han, et al.. (2021). Acceptance of a COVID-19 vaccine and associated factors among pregnant women in China: a multi-center cross-sectional study based on health belief model. Human Vaccines & Immunotherapeutics. 17(8). 2378–2388. 133 indexed citations breakdown →
11.
Du, Min, Jue Liu, Na Han, et al.. (2021). Exploring the mediating role of serum retinol-binding protein 4 in the relationship between sleep quality and insulin resistance in pregnant women. Diabetes Research and Clinical Practice. 176. 108866–108866. 2 indexed citations
12.
Liu, Jue, et al.. (2020). Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study. JMIR Public Health and Surveillance. 7(1). e25241–e25241. 14 indexed citations
13.
Lin, Li‐Zi, Na Han, Zhiling Zhao, et al.. (2020). Plasma retinol-binding protein 4 in the first and second trimester and risk of gestational diabetes mellitus in Chinese women: a nested case-control study. Nutrition & Metabolism. 17(1). 1–1. 36 indexed citations
14.
Du, Min, Jue Liu, Na Han, et al.. (2020). Association between sleep duration in early pregnancy and risk of gestational diabetes mellitus: a prospective cohort study. Diabetes & Metabolism. 47(5). 101217–101217. 16 indexed citations
15.
Xi, Lei, Na Han, Shusheng Luo, et al.. (2020). The association between maternal fat-soluble vitamin concentrations during pregnancy and infant birth weight in China. British Journal Of Nutrition. 125(9). 1058–1066. 11 indexed citations
16.
Han, Na, et al.. (2020). Downregulation of microRNA-873 attenuates insulin resistance and myocardial injury in rats with gestational diabetes mellitus by upregulating IGFBP2. American Journal of Physiology-Endocrinology and Metabolism. 318(5). E723–E735. 17 indexed citations
17.
Lin, Li‐Zi, Na Han, Zhiling Zhao, et al.. (2019). Excessive gestational weight gain and the risk of gestational diabetes: Comparison of Intergrowth-21st standards, IOM recommendations and a local reference. Diabetes Research and Clinical Practice. 158. 107912–107912. 11 indexed citations
20.
Han, Na. (2014). Distributions and clinical significances of HPV genotypes in different cervical lesions in Xinjiang Uygur Autonomous Region from 2009 to 2013. Zhongguo fuyou baojian. 1 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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