Sheng Wei

4.4k citations
98 papers · 3.5k · 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

    • Congenital heart defects research 10
    • Cell death mechanisms and regulation 6
    • Epigenetics and DNA Methylation 5
    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 8
    • Immune Response and Inflammation 5

Sheng Wei

91 papers receiving 3.4k citations

Peers

Sheng Wei
Comparison fields: 5 of 129
  • Immunology 1.3k
  • Cancer Research 622
  • Hematology 378
  • Genetics 323
  • Molecular Biology 1.5k
Replace Chunyan Ji with:
Chunyan Ji China
Mohammad Hojjat‐Farsangi Sweden
Kai Zhao China
Chunhong Ma China
Rong Mu China
Lisheng Wang China
Rocco Savino Italy
Zhihong Zeng United States
Yoshiko Murakami Japan
Wei Qiu China
Sheng Wei relative to Chunyan Ji China Chunyan Ji's profile →
Citations per field
00.5×1.6×
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-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

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000291
2 2016269
3 2014188
4 2001157
5 2010150
6 2004146
7 2004140
8 2000125
9 2013108
10 2001100
11 200993
12 201690
13 200278
14 200478
15 201468
16 201664
17 200461
18 201160
19 200559
20 201749

About Sheng Wei

Sheng Wei is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Epidemiology, having authored 98 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Congenital heart defects research (10 papers), T-cell and B-cell Immunology (8 papers), MicroRNA in disease regulation (7 papers), Cell death mechanisms and regulation (6 papers), Epigenetics and DNA Methylation (5 papers), Immune Response and Inflammation (5 papers) and Folate and B Vitamins Research (5 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (622 citations), Hematology (378 citations), Genetics (323 citations) and Molecular Biology (1.5k 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, Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Nutrition.

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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