Chenfang Wu

1.2k total citations
26 papers, 757 citations indexed

About

Chenfang Wu is a scholar working on Infectious Diseases, Neurology and Surgery. According to data from OpenAlex, Chenfang Wu has authored 26 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 10 papers in Neurology and 7 papers in Surgery. Recurrent topics in Chenfang Wu's work include COVID-19 Clinical Research Studies (14 papers), Long-Term Effects of COVID-19 (10 papers) and Pancreatitis Pathology and Treatment (4 papers). Chenfang Wu is often cited by papers focused on COVID-19 Clinical Research Studies (14 papers), Long-Term Effects of COVID-19 (10 papers) and Pancreatitis Pathology and Treatment (4 papers). Chenfang Wu collaborates with scholars based in China and United States. Chenfang Wu's co-authors include Siye Zhang, Yanjun Zhong, Guyi Wang, Yanjun Zhong, Bo Yu, Guobao Wu, Quan Zhang, Jianlei Lv, Fang Wu and Haiyun Dong and has published in prestigious journals such as Frontiers in Pharmacology, Journal of Cellular and Molecular Medicine and Molecular Neurobiology.

In The Last Decade

Chenfang Wu

25 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenfang Wu China 14 405 197 171 143 101 26 757
Siye Zhang China 9 351 0.9× 167 0.8× 145 0.8× 135 0.9× 87 0.9× 11 575
Ragheb Assaly United States 15 253 0.6× 138 0.7× 134 0.8× 71 0.5× 130 1.3× 79 776
Fabrice Daviaud France 11 177 0.4× 238 1.2× 118 0.7× 124 0.9× 112 1.1× 20 795
Dominik Jarczak Germany 18 279 0.7× 478 2.4× 123 0.7× 186 1.3× 214 2.1× 56 1.3k
Sébastian Voicu France 16 237 0.6× 124 0.6× 83 0.5× 117 0.8× 106 1.0× 63 842
Daniel A. Hofmaenner Switzerland 14 158 0.4× 156 0.8× 79 0.5× 90 0.6× 75 0.7× 42 525
Tobias Lahmer Germany 22 488 1.2× 426 2.2× 112 0.7× 165 1.2× 270 2.7× 101 1.5k
Pierre François Laterre Belgium 6 130 0.3× 318 1.6× 80 0.5× 145 1.0× 117 1.2× 11 721
Jaimin Patel United Kingdom 17 164 0.4× 238 1.2× 62 0.4× 78 0.5× 169 1.7× 61 782

Countries citing papers authored by Chenfang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenfang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenfang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenfang Wu. A scholar is included among the top collaborators of Chenfang Wu 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 Chenfang Wu. Chenfang Wu 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, Fanglin, Guyi Wang, Min Xu, et al.. (2023). The differences in virus shedding time between the Delta variant and original SARS-CoV-2 infected patients. Frontiers in Public Health. 11. 1132643–1132643. 3 indexed citations
2.
Li, Fanglin, Chenfang Wu, Min Xu, et al.. (2023). The Association Between Alveolar–Arterial Oxygen Tension Difference and the Severity of COVID-19 in Patients. Infectious Diseases and Therapy. 12(2). 577–587. 2 indexed citations
3.
He, Wenfang, et al.. (2023). The Potential of NLRP3 Inflammasome as a Therapeutic Target in Neurological Diseases. Molecular Neurobiology. 60(5). 2520–2538. 20 indexed citations
4.
Zhou, Yanyan, Chenfang Wu, Lin Ouyang, et al.. (2022). Application of oXiris-continuous hemofiltration adsorption in patients with sepsis and septic shock: A single-centre experience in China. Frontiers in Public Health. 10. 1012998–1012998. 13 indexed citations
5.
He, Wenfang, Chenfang Wu, Yanjun Zhong, et al.. (2022). Case Report: Therapeutic Strategy With Delayed Debridement for Culture-Negative Invasive Group A Streptococcal Infections Diagnosed by Metagenomic Next-Generation Sequencing. Frontiers in Public Health. 10. 899077–899077. 3 indexed citations
6.
Peng, Fei, Qiong Yi, Quan Zhang, et al.. (2022). Performance of D-dimer to lymphocyte ratio in predicting the mortality of COVID-19 patients. Frontiers in Cellular and Infection Microbiology. 12. 1053039–1053039. 6 indexed citations
7.
Li, Fanglin, Chenfang Wu, Bo Yu, et al.. (2022). Pulmonary fibrosis in patients with COVID-19: A retrospective study. Frontiers in Cellular and Infection Microbiology. 12. 1013526–1013526. 8 indexed citations
8.
Guo, Ting, Qinxue Shen, Jinhua Li, et al.. (2021). Clinical Findings in Diabetes Mellitus Patients with COVID-19. Journal of Diabetes Research. 2021. 1–7. 13 indexed citations
9.
Wu, Chenfang, Guyi Wang, Bo Yu, et al.. (2021). Association Between Respiratory Alkalosis and the Prognosis of COVID-19 Patients. Frontiers in Medicine. 8. 564635–564635. 16 indexed citations
10.
Wang, Guyi, Jinxiu Li, Chenfang Wu, et al.. (2021). The Role of High-Density Lipoprotein in COVID-19. Frontiers in Pharmacology. 12. 720283–720283. 19 indexed citations
11.
Zhong, Yanjun, Lishu Zhao, Guobao Wu, et al.. (2020). Impact of renin–angiotensin system inhibitors use on mortality in severe COVID-19 patients with hypertension: a retrospective observational study. Journal of International Medical Research. 48(12). 1220778703–1220778703. 15 indexed citations
12.
Wang, Guyi, Quan Zhang, Haiyun Dong, et al.. (2020). Low high-density lipoprotein level is correlated with the severity of COVID-19 patients: an observational study. Lipids in Health and Disease. 19(1). 204–204. 113 indexed citations
13.
Wang, Guyi, Chenfang Wu, Quan Zhang, et al.. (2020). Clinical characteristics and the risk factors for severe events of elderly coronavirus disease 2019 patients.. PubMed. 45(5). 542–548. 6 indexed citations
14.
Wang, Guyi, Quan Zhang, Chenfang Wu, et al.. (2020). Clinical Characteristics of Adult Fevered COVID-19 Patients and Predictors for Developing Severe Events. Frontiers in Medicine. 7. 324–324. 9 indexed citations
15.
Li, Jina, Xiaojie Huang, Jia He, et al.. (2020). Clinical Effect of Pulmonary Rehabilitation on Patients with Severe or Critically Severe COVID-19 Pneumonia. SSRN Electronic Journal. 1 indexed citations
16.
Wang, Guyi, Chenfang Wu, Quan Zhang, et al.. (2020). C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation. Open Forum Infectious Diseases. 7(5). ofaa153–ofaa153. 163 indexed citations
17.
Zou, Runmei, Chenfang Wu, Siye Zhang, et al.. (2020). Euthyroid Sick Syndrome in Patients With COVID-19. Frontiers in Endocrinology. 11. 566439–566439. 87 indexed citations
18.
Wu, Chenfang, et al.. (2019). Risk Factors of Ventilator-Associated Pneumonia in Critically III Patients. Frontiers in Pharmacology. 10. 482–482. 143 indexed citations
19.
20.
Wu, Chenfang, et al.. (2018). The association between paraoxonase 1 activity and the susceptibilities of diabetes mellitus, diabetic macroangiopathy and diabetic microangiopathy. Journal of Cellular and Molecular Medicine. 22(9). 4283–4291. 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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