Sheng Wei

13.7k citations
314 papers · 9.0k indexed · 2 hit papers · h-index 46

Impact in

    • COVID-19 epidemiological studies
  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer

Papers in

Sheng Wei

298 papers receiving 8.9k citations

Hit Papers

Panaxydol attenuates ferroptosis against LPS-induced acute lung injury in mice by Keap1-Nrf2/HO-1 pathway 2021 · 319 citations
31920202026202220242505007501000

Peers

Sheng Wei
Comparison fields: 5 of 206
  • Modeling and Simulation 636
  • Immunology 1.7k
  • Oncology 1.7k
  • Hematology 638
  • Aging 79
Replace Qing Ye with:
Qing Ye China
Hongbing Shen China
Feng Chen China
Zhibin Hu China
Tangchun Wu China
Bruce Taylor Australia
Chao Zhang China
Mohammad Alì Mansournia Iran
Martin C. S. Wong Hong Kong
Emanuela Taioli United States
Sheng Wei relative to Qing Ye China Qing Ye's profile →
Citations per field
00.5×3.6×
Qing Ye · 1×
Citations per year

Countries citing papers authored by Sheng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng Wei, 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 Sheng Wei Line = papers co-authored together Sheng Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20250
5 20245
6 20241
7 20249
8 20247
9 20241
10 20231
11 202317
12 202311
13 20233
14 20239
15 20186
16 20178
17 201127
18 201126
19 20110
20 200342

About Sheng Wei

Sheng Wei is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Transportation, Immunology and Oncology, having authored 314 papers that have together received 9.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Liver Disease Diagnosis and Treatment (13 papers), Heavy Metal Exposure and Toxicity (12 papers), Air Quality and Health Impacts (12 papers), Immune cells in cancer (12 papers), Acute Myeloid Leukemia Research (10 papers), Birth, Development, and Health (10 papers) and Obesity, Physical Activity, Diet (10 papers). The work is most often cited by research in Modeling and Simulation (636 citations), Immunology (1.7k citations), Oncology (1.7k citations), Hematology (638 citations) and Aging (79 citations). Sheng Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julie Y. Djeu, Jiao Huang, Tangchun Wu, Huan Guo, Hongjie Yu, An Pan, Na He, Li Liu, Xihong Lin and Xingjie Hao. Their work appears in journals such as PLoS ONE, Blood, Scientific Reports, The Journal of Immunology and Annals of Medicine.

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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