Sufei Wang

1.6k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Sufei Wang is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Sufei Wang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Infectious Diseases and 8 papers in Neurology. Recurrent topics in Sufei Wang's work include COVID-19 Clinical Research Studies (11 papers), Extracellular vesicles in disease (9 papers) and Long-Term Effects of COVID-19 (8 papers). Sufei Wang is often cited by papers focused on COVID-19 Clinical Research Studies (11 papers), Extracellular vesicles in disease (9 papers) and Long-Term Effects of COVID-19 (8 papers). Sufei Wang collaborates with scholars based in China. Sufei Wang's co-authors include Yang Jin, Juanjuan Xu, Yanling Ma, Siwei Song, Feng Wu, Pei Ma, Zhengrong Yin, Limin Duan, Xueyun Tan and Mei Zhou and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and The Journal of Infectious Diseases.

In The Last Decade

Sufei Wang

46 papers receiving 1.1k citations

Hit Papers

Intratumoural microbiota: a new frontier in cancer develo... 2024 2026 2025 2024 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
Sufei Wang China 18 364 332 180 176 145 48 1.1k
Zhengrong Yin China 13 296 0.8× 268 0.8× 112 0.6× 133 0.8× 190 1.3× 35 791
Jiayi Yang China 10 477 1.3× 686 2.1× 105 0.6× 274 1.6× 101 0.7× 19 1.5k
Nima Hemmat Iran 20 481 1.3× 395 1.2× 104 0.6× 123 0.7× 211 1.5× 49 1.3k
Bo Gong China 20 663 1.8× 225 0.7× 71 0.4× 64 0.4× 185 1.3× 113 1.5k
Kailin Cai China 20 309 0.8× 213 0.6× 246 1.4× 150 0.9× 171 1.2× 73 1.2k
Wan‐Li Ma China 19 352 1.0× 764 2.3× 410 2.3× 319 1.8× 101 0.7× 62 1.9k
Jiangang Jiang China 17 595 1.6× 213 0.6× 46 0.3× 97 0.6× 62 0.4× 69 1.2k
Chao Tu China 26 975 2.7× 449 1.4× 200 1.1× 180 1.0× 484 3.3× 117 2.3k
Yurou Chen China 12 363 1.0× 584 1.8× 139 0.8× 341 1.9× 143 1.0× 23 1.2k
Chen Shi China 19 375 1.0× 157 0.5× 52 0.3× 69 0.4× 99 0.7× 61 1.1k

Countries citing papers authored by Sufei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sufei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sufei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sufei Wang. A scholar is included among the top collaborators of Sufei Wang 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 Sufei Wang. Sufei Wang 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.
2.
Tan, Xueyun, Feng Pan, Na Zhan, et al.. (2024). Multimodal integration to identify the invasion status of lung adenocarcinoma intraoperatively. iScience. 27(12). 111421–111421. 2 indexed citations
3.
Zhang, Haoyu, et al.. (2023). Association of general and abdominal obesity with lung function, FeNO, and blood eosinophils in adult asthmatics: Findings from NHANES 2007–2012. Frontiers in Physiology. 14. 1019123–1019123. 6 indexed citations
4.
Wang, Sufei, Yang Li, Hua Lü, et al.. (2023). Covalent organic frameworks (COF) materials for selective radionuclides removal from water. Journal of Radioanalytical and Nuclear Chemistry. 332(4). 1101–1111. 9 indexed citations
5.
Tan, Xueyun, Sufei Wang, Hebing Chen, et al.. (2023). Prognosis prediction of icotinib as targeted therapy for advanced EGFR-positive non–small cell lung cancer patients. Investigational New Drugs. 41(3). 463–472. 2 indexed citations
6.
Xiao, Wenjing, Qi Huang, Ping Luo, et al.. (2023). Lipid metabolism of plasma-derived small extracellular vesicles in COVID-19 convalescent patients. Scientific Reports. 13(1). 16642–16642. 4 indexed citations
7.
Wang, Sufei, et al.. (2023). Synthesis of porous carbon nanomaterials and their application in tetracycline removal from aqueous solutions. Chinese Journal of Chemical Engineering. 59. 200–209. 10 indexed citations
9.
Liu, Yu, Sufei Wang, Hui Xia, et al.. (2022). The potential applications of microparticles in the diagnosis, treatment, and prognosis of lung cancer. Journal of Translational Medicine. 20(1). 404–404. 12 indexed citations
10.
Hu, Zhigang, et al.. (2022). Clinical features and outcomes of male patients with lymphangioleiomyomatosis: A review. Medicine. 101(52). e32492–e32492. 7 indexed citations
11.
Tan, Xueyun, Yuan Li, Sufei Wang, et al.. (2022). Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort study. Respiratory Research. 23(1). 132–132. 17 indexed citations
12.
Mao, Kaimin, Qi Tan, Yanling Ma, et al.. (2021). Proteomics of extracellular vesicles in plasma reveals the characteristics and residual traces of COVID-19 patients without underlying diseases after 3 months of recovery. Cell Death and Disease. 12(6). 541–541. 31 indexed citations
13.
Zhou, Mei, Xueyun Tan, Ping Luo, et al.. (2021). Changes in glomerular filtration rate and metabolomic differences in severely ill coronavirus disease survivors 3 months after discharge. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(1). 166289–166289. 10 indexed citations
14.
Song, Siwei, Shujing Zhang, Zhihui Wang, et al.. (2021). Association Between Longitudinal Change in Abnormal Fasting Blood Glucose Levels and Outcome of COVID-19 Patients Without Previous Diagnosis of Diabetes. Frontiers in Endocrinology. 12. 640529–640529. 7 indexed citations
15.
Zhou, Mei, Zhengrong Yin, Juanjuan Xu, et al.. (2021). Inflammatory Profiles and Clinical Features of Coronavirus 2019 Survivors 3 Months After Discharge in Wuhan, China. The Journal of Infectious Diseases. 224(9). 1473–1488. 31 indexed citations
16.
Xu, Juanjuan, Mei Zhou, Ping Luo, et al.. (2021). Plasma Metabolomic Profiling of Patients Recovered From Coronavirus Disease 2019 (COVID-19) With Pulmonary Sequelae 3 Months After Discharge. Clinical Infectious Diseases. 73(12). 2228–2239. 41 indexed citations
18.
Huang, Yajun, Sufei Wang, Xiangchao Ding, et al.. (2020). Inhibition of S-adenosyl-L-homocysteine hydrolase alleviates alloimmune response by down-regulating CD4+ T-cell activation in a mouse heart transplantation model. Annals of Translational Medicine. 8(23). 1582–1582. 8 indexed citations
19.
Liao, Tingting, Zhengrong Yin, Juanjuan Xu, et al.. (2020). The Correlation Between Clinical Features and Viral RNA Shedding in Outpatients With COVID-19. Open Forum Infectious Diseases. 7(8). ofaa331–ofaa331. 3 indexed citations
20.
Wang, Sufei, Pei Ma, Zhilei Lv, et al.. (2019). Value of serum tumor markers for predicting EGFR mutations and positive ALK expression in 1089 Chinese non-small-cell lung cancer patients: A retrospective analysis. European Journal of Cancer. 124. 1–14. 36 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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