Dingding Deng

466 total citations
18 papers, 280 citations indexed

About

Dingding Deng is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Neurology. According to data from OpenAlex, Dingding Deng has authored 18 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Infectious Diseases and 5 papers in Neurology. Recurrent topics in Dingding Deng's work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Respiratory Support and Mechanisms (6 papers). Dingding Deng is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Respiratory Support and Mechanisms (6 papers). Dingding Deng collaborates with scholars based in China and United States. Dingding Deng's co-authors include Peng Huang, Ping Chen, Zhi Xiang, Mingyan Jiang, Wenlong Liu, Xudong Xiang, Shengyang He, Lihua Xie, Ting Guo and Yan Chen and has published in prestigious journals such as PLoS ONE, Journal of General Internal Medicine and Frontiers in Pharmacology.

In The Last Decade

Dingding Deng

15 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingding Deng China 8 158 80 72 48 37 18 280
Khaled Elhusseiny Egypt 10 123 0.8× 63 0.8× 74 1.0× 57 1.2× 55 1.5× 17 313
Seungjae Lee South Korea 5 273 1.7× 47 0.6× 42 0.6× 31 0.6× 56 1.5× 9 408
Lila Bouadma France 5 158 1.0× 76 0.9× 68 0.9× 29 0.6× 40 1.1× 9 273
Rehan Saeed United States 8 149 0.9× 82 1.0× 33 0.5× 58 1.2× 31 0.8× 25 277
Haytham Tlayjeh Saudi Arabia 9 276 1.7× 163 2.0× 36 0.5× 40 0.8× 51 1.4× 19 397
Matthew Gold United States 6 113 0.7× 53 0.7× 19 0.3× 13 0.3× 37 1.0× 23 261
Verónica Sanguine Argentina 4 288 1.8× 136 1.7× 44 0.6× 126 2.6× 84 2.3× 5 433
Ezequiel Saavedra Argentina 3 286 1.8× 137 1.7× 34 0.5× 126 2.6× 75 2.0× 4 421
Federico Espinosa Chile 4 286 1.8× 136 1.7× 33 0.5× 126 2.6× 75 2.0× 4 423
Camila Agnoletti Chile 3 286 1.8× 136 1.7× 33 0.5× 126 2.6× 75 2.0× 4 420

Countries citing papers authored by Dingding Deng

Since Specialization
Citations

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

Fields of papers citing papers by Dingding Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingding Deng

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

All Works

18 of 18 papers shown
1.
Lei, T.C., Wenyu Chen, Dingding Deng, et al.. (2025). Multifunctional mixed micelles loaded with doxorubicin for enhanced photodynamic-chemo cancer therapy. Journal of Drug Delivery Science and Technology. 113. 107325–107325.
2.
Song, Qing, Ling Lin, Tao Li, et al.. (2025). The treatment responses among different inhalation therapies for GOLD group E patients with chronic obstructive pulmonary disease. Journal of Global Health. 15. 4055–4055.
3.
Zhou, Zijing, Wei Cheng, Qing Song, et al.. (2024). Predictive Value of CCQ and its Subdomains for Hospitalized Exacerbations in Chronic Obstructive Pulmonary Disease: A 3-Year Observational Prospective Study. Journal of General Internal Medicine. 40(7). 1550–1558.
4.
Zhang, Xiyan, Tiao Li, Wenzhong Peng, et al.. (2024). Loss of interferon regulatory factor-1 prevents lung fibrosis by upregulation of pon1 expression. Respiratory Research. 25(1). 394–394. 4 indexed citations
5.
6.
7.
Duan, Jia‐Xi, Xinxin Guan, Wei Cheng, et al.. (2023). COX-2/sEH-Mediated Macrophage Activation Is a Target for Pulmonary Protection in Mouse Models of Chronic Obstructive Pulmonary Disease. Laboratory Investigation. 104(3). 100319–100319. 4 indexed citations
8.
Song, Qing, Wei Cheng, Yating Peng, et al.. (2023). The effects of different inhalation therapies on less symptomatic chronic obstructive pulmonary disease patients in a Chinese population: a real-world study. Annals of Medicine. 55(1). 1317–1324. 5 indexed citations
9.
Cheng, Wei, Ling Lin, Xin Liao, et al.. (2021). Comparative clinical characteristics among different age group of adult COVID‐19 patients: A multicenter study. Immunity Inflammation and Disease. 10(2). 130–142. 5 indexed citations
10.
He, Shengyang, Wenlong Liu, Mingyan Jiang, et al.. (2021). Clinical characteristics of COVID-19 patients with clinically diagnosed bacterial co-infection: A multi-center study. PLoS ONE. 16(4). e0249668–e0249668. 53 indexed citations
11.
Song, Qing, Yating Peng, Dingding Deng, et al.. (2021). The Effect of Noninvasive Ventilation Support on COVID-19 Patients and Risk Factors for Invasive Ventilation – A Retrospective and Multicenter Study. International Journal of General Medicine. Volume 14. 6085–6092. 6 indexed citations
12.
Cheng, Wei, Jia‐Xi Duan, Yiyang Zhao, et al.. (2021). Real-World Effectiveness of Inhalation Therapy Among Patients With Symptomatic COPD in China: A Multicenter Prospective Study. Frontiers in Pharmacology. 12. 753653–753653. 15 indexed citations
13.
Song, Qing, Yating Peng, Xin Liao, et al.. (2021). Symptoms at disease onset predict prognosis in COVID-19 disease. Libyan Journal of Medicine. 17(1). 2010338–2010338. 5 indexed citations
14.
Zhou, Zijing, et al.. (2020). <p>The Value of FENO Measurement for Predicting Treatment Response in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease</p>. International Journal of COPD. Volume 15. 2257–2266. 11 indexed citations
15.
Guo, Ting, Qinxue Shen, Wei Guo, et al.. (2020). Clinical Characteristics of Elderly Patients with COVID-19 in Hunan Province, China: A Multicenter, Retrospective Study. Gerontology. 66(5). 467–475. 98 indexed citations
16.
Deng, Dingding, et al.. (2020). <p>CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score</p>. International Journal of COPD. Volume 15. 249–259. 10 indexed citations
17.
Ma, Yiming, Huihui Zeng, Huanhuan Lu, et al.. (2020). Corticosteroid Use in the Treatment of COVID-19: A Multicenter Retrospective Study in Hunan, China. Frontiers in Pharmacology. 11. 1198–1198. 27 indexed citations
18.
Zeng, Zihang, Yiming Ma, Huihui Zeng, et al.. (2020). Simple nomogram based on initial laboratory data for predicting the probability of ICU transfer of COVID‐19 patients: Multicenter retrospective study. Journal of Medical Virology. 93(1). 434–440. 22 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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