Sheng Wei

4.4k citations
96 papers · 3.4k indexed · h-index 33

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 8
    • MicroRNA in disease regulation 9

Sheng Wei

90 papers receiving 3.4k citations

Peers

Sheng Wei
Comparison fields: 5 of 131
  • Immunology 1.4k
  • Cancer Research 695
  • Hematology 390
  • Genetics 354
  • Molecular Biology 1.7k
Replace Chunyan Ji with:
Chunyan Ji China
Kai Sun China
Rong Mu China
Mohammad Hojjat‐Farsangi Sweden
Kai Zhao China
Chunhong Ma China
Mayumi Fujita United States
Lisheng Wang China
Bing Xu China
Rocco Savino Italy
Sheng Wei relative to Chunyan Ji China Chunyan Ji's profile →
Citations per field
00.5×1.5×
Chunyan Ji · 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-authorship network

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 20241
2 20240
3 20242
4 20245
5 202318
6 20236
7 202312
8 20224
9 202218
10 20219
11 20206
12 201919
13 201939
14 20170
15 201614
16 201138
17
Effect of corosolic acid on oxygen and glucose deprivation injury in rat pheochromocytoma PC12 cell
20101
18 201034
19 200559
20 200479

About Sheng Wei

Sheng Wei is a scholar working on Immunology, Cancer Research, Molecular Biology, Toxicology and Obstetrics and Gynecology, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Congenital heart defects research (10 papers), MicroRNA in disease regulation (9 papers), Epigenetics and DNA Methylation (9 papers), Congenital Heart Disease Studies (8 papers), T-cell and B-cell Immunology (8 papers), RNA modifications and cancer (7 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Immunology (1.4k citations), Cancer Research (695 citations), Hematology (390 citations), Genetics (354 citations) and Molecular Biology (1.7k citations). Sheng Wei has collaborated with scholars based in United States, China and France. Frequent co-authors include Julie Y. Djeu, Kun Jiang, Danielle L. Gilvary, Pearlie K. Epling‐Burnette, Bin Zhong, Thomas P. Loughran, Xianghong Chen, Brian C. Corliss, Jin Hong Liu and Erika A. Eksioglu. Their work appears in journals such as Blood, PLoS ONE, The Journal of Immunology, Proceedings of the National Academy of Sciences and Frontiers in Cell and Developmental Biology.

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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