Dawei Wang

3.9k total citations · 1 hit paper
119 papers, 2.5k citations indexed

About

Dawei Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Dawei Wang has authored 119 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Infectious Diseases. Recurrent topics in Dawei Wang's work include COVID-19 Clinical Research Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Long-Term Effects of COVID-19 (7 papers). Dawei Wang is often cited by papers focused on COVID-19 Clinical Research Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Long-Term Effects of COVID-19 (7 papers). Dawei Wang collaborates with scholars based in China, United States and Australia. Dawei Wang's co-authors include Yimei Yin, Yong-ming Yao, Bin Jiang, Jian Wu, Lanjuan Li, Xinguo Zhao, Jiong Yu, Hongcui Cao, Chengyuan Liu and Jun Liu and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Dawei Wang

112 papers receiving 2.5k citations

Hit Papers

Clinical Characteristics of Imported Cases of Coronavirus... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawei Wang China 24 795 679 403 318 280 119 2.5k
Guang Li China 25 924 1.2× 898 1.3× 492 1.2× 357 1.1× 204 0.7× 100 2.8k
Jianfeng Zhang China 30 1.0k 1.3× 891 1.3× 704 1.7× 315 1.0× 465 1.7× 156 3.3k
Lianghong Yin China 21 720 0.9× 730 1.1× 412 1.0× 193 0.6× 176 0.6× 102 2.5k
Runming Jin China 20 629 0.8× 594 0.9× 197 0.5× 298 0.9× 171 0.6× 103 2.3k
Wen Wang China 21 997 1.3× 465 0.7× 582 1.4× 368 1.2× 295 1.1× 72 2.3k
Jing Xu China 28 581 0.7× 463 0.7× 234 0.6× 213 0.7× 373 1.3× 132 2.8k
Carmen Hurtado del Pozo United States 12 1.3k 1.6× 683 1.0× 444 1.1× 182 0.6× 219 0.8× 18 2.5k
Heng Fan China 28 984 1.2× 1.1k 1.6× 489 1.2× 358 1.1× 357 1.3× 101 3.3k
Shasha Liu China 26 584 0.7× 622 0.9× 210 0.5× 193 0.6× 578 2.1× 133 2.8k

Countries citing papers authored by Dawei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Wang. A scholar is included among the top collaborators of Dawei 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 Dawei Wang. Dawei 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.
Zhang, Yuhang, et al.. (2025). Progress in the study of drug resistance mechanism of Bacillus cereus. Journal of Antimicrobial Chemotherapy. 81(1).
2.
Wang, Fulong, et al.. (2025). Extended homogeneous field correction method based on oblique projection in OPM-MEG. NeuroImage. 306. 120991–120991.
3.
Wang, Dawei, et al.. (2024). Engineering the Substrate Specificity of (S)‐β‐Phenylalanine Adenylation Enzyme HitB. ChemBioChem. 25(15). e202400383–e202400383. 3 indexed citations
4.
Shi, Lu, Ping Yin, Cancan Chen, et al.. (2024). Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia. European Journal of Radiology. 177. 111543–111543.
5.
Wu, Ying, Dawei Wang, Jun Li, et al.. (2024). Protective Effect of Dihydromyricetin Against Exercise-Induced Muscle Damage and Its Mechanism. Chinese Medical Sciences Journal. 39(1). 46–53.
6.
Zhu, Rui, et al.. (2024). Abnormal Structural–Functional Coupling and MRI Alterations of Brain Network Topology in Progressive Supranuclear Palsy. Journal of Magnetic Resonance Imaging. 61(4). 1770–1781. 1 indexed citations
7.
Wu, Jian, Ze Xiang, Ce Gao, et al.. (2023). Genotype 4 HEV infection triggers the initiation and development of acute pancreatitis. Microbes and Infection. 25(8). 105190–105190. 4 indexed citations
8.
Min, Wenjian, Hongtao Shen, Tong Chen, et al.. (2023). Discovery of potent and selective c-Met inhibitors for MET-amplified hepatocellular carcinoma treatment. European Journal of Medicinal Chemistry. 264. 116025–116025. 5 indexed citations
9.
Li, Lin, et al.. (2023). Management and Outcome of Elderly Patients With Patellar Fracture Treated With Novel Modified Cerclage Wiring. Geriatric Orthopaedic Surgery & Rehabilitation. 14. 2533886207–2533886207. 1 indexed citations
10.
Hang, Dong, Jing Du, Yiping Cheng, et al.. (2023). The classification of obesity based on metabolic status redefines the readmission of non-Hodgkin’s lymphoma—an observational study. SHILAP Revista de lepidopterología. 11(1). 24–24. 1 indexed citations
11.
Yuan, Ming, Qiuju Li, Yufei Huang, et al.. (2022). Brain Morphological and Functional Changes in Adenomyosis with Pain: A Resting State Functional Magnetic Resonance Imaging Study. Journal of Clinical Medicine. 11(18). 5286–5286. 1 indexed citations
12.
Li, Long, Sen Yan, Xuxu Liu, et al.. (2021). Amadis: A Comprehensive Database for Association Between Microbiota and Disease. Frontiers in Physiology. 12. 697059–697059. 12 indexed citations
13.
Li, Yiming, Qinghe Meng, Xin Rao, et al.. (2020). Corticosteroid therapy in critically ill patients with COVID-19: a multicenter, retrospective study. Critical Care. 24(1). 698–698. 30 indexed citations
14.
Wang, Dawei, Zhao Cheng, Meng Zhao, et al.. (2019). PTPN9 induces cell apoptosis by mitigating the activation of Stat3 and acts as a tumor suppressor in colorectal cancer. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Saglam, Ali Sinan, Dawei Wang, Matthew C. Zwier, & Lillian T. Chong. (2017). Flexibility vs Preorganization: Direct Comparison of Binding Kinetics for a Disordered Peptide and Its Exact Preorganized Analogues. The Journal of Physical Chemistry B. 121(43). 10046–10054. 17 indexed citations
16.
Wang, Dawei. (2013). Advances in the management of acute liver failure. World Journal of Gastroenterology. 19(41). 7069–7069. 47 indexed citations
17.
Liu, Ying-Juan, et al.. (2010). Flank gland-secreted putative chemosignals pertaining to photoperiod, endocrine states, and sociosexual behavior in golden hamsters. Current Zoology. 56(6). 800–812. 4 indexed citations
18.
Guo, Dagang, Dawei Wang, Yi Zheng, et al.. (2007). A Rac-cGMP Signaling Pathway. Cell. 128(2). 341–355. 85 indexed citations
19.
Platts, Adrian E., et al.. (2005). LARaLink 2.0: A Comprehensive Aid to Basic and Clinical Cytogenetic Research. Genetic Testing. 9(4). 334–341. 2 indexed citations
20.
Gao, Xiaoyan, Dawei Wang, Famei Li, & Zhiming Jiang. (2000). The effect of the extracts of Achyranthes bidentata Bl. on proliferation of osteoblast-like UMR 106 cells. Shenyang Yaoke Daxue xuebao. 17(3). 210–213. 2 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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