Duoduo Han

980 total citations
16 papers, 627 citations indexed

About

Duoduo Han is a scholar working on Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Duoduo Han has authored 16 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Duoduo Han's work include COVID-19 Clinical Research Studies (6 papers), Respiratory Support and Mechanisms (4 papers) and Long-Term Effects of COVID-19 (3 papers). Duoduo Han is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Respiratory Support and Mechanisms (4 papers) and Long-Term Effects of COVID-19 (3 papers). Duoduo Han collaborates with scholars based in China, United States and Pakistan. Duoduo Han's co-authors include Pinhua Pan, Fengyu Lin, Minhui Dai, Yanhui Cui, Lizhi Li, Jian Ma, Shixin Liu, Lingli Chen, Rongli Lu and Ben Liu and has published in prestigious journals such as European Journal of Pharmacology, Food Research International and Clinica Chimica Acta.

In The Last Decade

Duoduo Han

15 papers receiving 614 citations

Peers

Duoduo Han
Duoduo Han
Citations per year, relative to Duoduo Han Duoduo Han (= 1×) peers Shixue Dai

Countries citing papers authored by Duoduo Han

Since Specialization
Citations

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

Fields of papers citing papers by Duoduo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duoduo Han

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

All Works

16 of 16 papers shown
1.
Lin, Fengyu, et al.. (2024). Association Between Adverse Early Life Factors and Telomere Length in Middle and Late Life. Innovation in Aging. 8(9). igae070–igae070.
2.
Han, Duoduo, Jun Cheng, Huaying Liang, et al.. (2023). Association of telomere length with risk of lung cancer: A large prospective cohort study from the UK Biobank. Lung Cancer. 184. 107358–107358. 3 indexed citations
3.
Lin, Fengyu, Rongli Lu, Duoduo Han, et al.. (2022). A prediction model for acute respiratory distress syndrome among patients with severe acute pancreatitis: a retrospective analysis. Therapeutic Advances in Respiratory Disease. 16. 2673701920–2673701920. 11 indexed citations
4.
Chen, Lingli, Chao Song, Yan Zhang, et al.. (2022). Quercetin protects against LPS-induced lung injury in mice via SIRT1-mediated suppression of PKM2 nuclear accumulation. European Journal of Pharmacology. 936. 175352–175352. 45 indexed citations
5.
Cui, Yanhui, Xueqin Wang, Fengyu Lin, et al.. (2022). MiR-29a-3p Improves Acute Lung Injury by Reducing Alveolar Epithelial Cell PANoptosis. Aging and Disease. 13(3). 899–899. 116 indexed citations
6.
Song, Chao, Haitao Li, Zhi Mao, et al.. (2022). Delayed neutrophil apoptosis may enhance NET formation in ARDS. Respiratory Research. 23(1). 155–155. 26 indexed citations
7.
Li, Yi, Yan Zhang, Rongli Lu, et al.. (2021). Lipid metabolism changes in patients with severe COVID-19. Clinica Chimica Acta. 517. 66–73. 41 indexed citations
8.
Wang, Xinmiao, et al.. (2021). Exploring the Mechanisms of Arsenic Trioxide (Pishuang) in Hepatocellular Carcinoma Based on Network Pharmacology. Evidence-based Complementary and Alternative Medicine. 2021. 1–9. 2 indexed citations
9.
Li, Yi, Haitao Li, Chao Song, et al.. (2021). Early Prediction of Disease Progression in Patients with Severe COVID-19 Using C-Reactive Protein to Albumin Ratio. Disease Markers. 2021. 1–11. 27 indexed citations
10.
Zhang, Yan, Yanhui Cui, Minxue Shen, et al.. (2020). Association of diabetes mellitus with disease severity and prognosis in COVID-19: A retrospective cohort study. Diabetes Research and Clinical Practice. 165. 108227–108227. 103 indexed citations
11.
Zhang, Yan, Fengyu Lin, Jianchu Zhang, et al.. (2020). Thyroid dysfunction may be associated with poor outcomes in patients with COVID-19. Molecular and Cellular Endocrinology. 521. 111097–111097. 43 indexed citations
12.
Li, Lizhi, et al.. (2020). Delivery and Biosafety of Oncolytic Virotherapy. Frontiers in Oncology. 10. 475–475. 113 indexed citations
13.
Lin, Fengyu, Minhui Dai, Lingli Chen, et al.. (2020). Early predictors for mechanical ventilation in COVID-19 patients. Therapeutic Advances in Respiratory Disease. 14. 3272698057–3272698057. 20 indexed citations
14.
Zeng, Furong, Guangtong Deng, Yanhui Cui, et al.. (2020). A predictive model for the severity of COVID-19 in elderly patients. Aging. 12(21). 20982–20996. 17 indexed citations
15.
Huang, Junqing, et al.. (2019). Maize bran feruloylated oligosaccharides inhibited AGEs formation in glucose/amino acids and glucose/BSA models. Food Research International. 122. 443–449. 26 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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