Dongsheng Wang

3.9k citations
35 papers · 2.4k · 1 hit paper · h-index 14

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 1%
    • Long-Term Effects of COVID-19

Papers in

Dongsheng Wang

34 papers receiving 2.3k citations

Hit Papers

Effective treatment of severe COVID-19 patients with tocilizumab 2020 · 1.9k citations
1.9k0+2+4Years since publication50010001.5k

Peers

Dongsheng Wang
Comparison fields: 5 of 128
  • Infectious Diseases 1.6k
  • Neurology 923
  • Immunology 269
  • Obstetrics and Gynecology 84
  • Critical Care and Intensive Care Medicine 54
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Dongsheng Wang relative to Zhao Wu China Zhao Wu's profile →
Citations per field
00.5×10×20×28×
Zhao Wu · 1×
Citations per year

Countries citing papers authored by Dongsheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dongsheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dongsheng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dongsheng Wang Line = papers co-authored together Dongsheng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effective treatment of severe COVID-19 patients with tocilizumab
Hit paper breakdown →
20201874
2 201284
3 201375
4 201673
5 201633
6 201828
7 201224
8 202121
9 202221
10 201118
11
[Effects of actinomycetes agent on ginseng growth and rhizosphere soil microflora].
201316
12 202315
13 201415
14 201815
15 202013
16 202010
17 20239
18 20148
19 20137
20 20196

About Dongsheng Wang

Dongsheng Wang is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Long-Term Effects of COVID-19 (3 papers), Immune Cell Function and Interaction (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Magnetic confinement fusion research (3 papers), Gastric Cancer Management and Outcomes (3 papers), Fusion materials and technologies (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Neurology (923 citations), Immunology (269 citations), Obstetrics and Gynecology (84 citations) and Critical Care and Intensive Care Medicine (54 citations). Dongsheng Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haiming Wei, Xiaoling Xu, Tiantian Li, Binqing Fu, Xiaohu Zheng, Yonggang Zhou, Yun Yang, Xiao‐Hua Zhang, Aijun Pan and Wei Sun. Their work appears in journals such as Medicine, Frontiers in Oncology, Journal of Autoimmunity, Journal of Surgical Research and Parasitology Research.

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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