Fuwei Shang

429 citations
5 papers · 147 · h-index 4

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immune responses and vaccinations

Papers in

    • Immune cells in cancer 3
    • T-cell and B-cell Immunology 1
    • Immune Cell Function and Interaction 1
    • Single-cell and spatial transcriptomics 3

Fuwei Shang

5 papers receiving 146 citations

Peers

Fuwei Shang
Comparison fields: 5 of 33
  • Hematology 58
  • Immunology 59
  • Cancer Research 26
  • Molecular Biology 88
  • Cell Biology 20
Replace Sorcha O’Byrne with:
Sorcha O’Byrne United Kingdom
Gabriela Krivdova Canada
Elisabeth F. Heuston United States
Valerio Ciaurro United States
Charles Dussiau France
Júlia Aguadé-Gorgorió Switzerland
Lewis Allen United Kingdom
Clarisse Kayembe United States
Blerim Marovca Switzerland
Bettina Moehrle Germany
Fuwei Shang relative to Sorcha O’Byrne United Kingdom Sorcha O’Byrne's profile →
Citations per field
00.5×1.5×2.2×
Sorcha O’Byrne · 1×
Citations per year

Countries citing papers authored by Fuwei Shang

Since Specialization
Citations

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

Fields of papers citing papers by Fuwei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2020107
2 202326
3 20228
4 20244
5 20222

About Fuwei Shang

Fuwei Shang is a scholar working on Immunology, Molecular Biology, Hematology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 147 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), T-cell and B-cell Immunology (1 paper), COVID-19 Clinical Research Studies (1 paper), Acute Myeloid Leukemia Research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Hematology (58 citations), Immunology (59 citations), Cancer Research (26 citations), Molecular Biology (88 citations) and Cell Biology (20 citations). Fuwei Shang has collaborated with scholars based in Germany, China and France. Frequent co-authors include Hans‐Reimer Rodewald, Thomas Höfer, Xi Wang, Katrin Busch, Alessandro Greco, Thorsten B. Feyerabend, Claudia Quedenau, Weike Pei, Sascha Sauer and Kay Klapproth. Their work appears in journals such as Cell stem cell, Science Immunology, Current Opinion in Genetics & Development and Immunity.

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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