Feiyan Mo

1.2k citations
13 papers · 575 indexed · h-index 11

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 12
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4

Feiyan Mo

13 papers receiving 568 citations

Peers

Feiyan Mo
Comparison fields: 5 of 45
  • Oncology 494
  • Immunology 195
  • Genetics 192
  • Hematology 58
  • Molecular Biology 203
Replace Ryo Hanajiri with:
Ryo Hanajiri Japan
John Craddock United States
Theresa Kaeuferle Germany
Fenlu Zhu United States
Justin C. Boucher United States
Daniel Hollyman United Kingdom
Lisa Marie Serrano United States
Sandhya Sharma United States
Sophie Derniame United Kingdom
Katherine D. Cummins United States
Feiyan Mo relative to Ryo Hanajiri Japan Ryo Hanajiri's profile →
Citations per field
00.5×
Ryo Hanajiri · 1×
Citations per year

Countries citing papers authored by Feiyan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Feiyan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2022115
2 2020111
3 2018102
4 201779
5 202245
6 202042
7 201823
8 202215
9 202115
10 202212
11 201910
12 20244
13 20192

About Feiyan Mo

Feiyan Mo is a scholar working on Oncology, Immunology, Genetics, Hematology and Molecular Biology, having authored 13 papers that have together received 575 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Nanowire Synthesis and Applications (2 papers), Hepatitis B Virus Studies (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Oncology (494 citations), Immunology (195 citations), Genetics (192 citations), Hematology (58 citations) and Molecular Biology (203 citations). Feiyan Mo has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Norihiro Watanabe, Mary K. McKenna, Maksim Mamonkin, Malcolm K. Brenner, Madhuwanti Srinivasan, Diogo Gomes‐Silva, Erden Atilla, Pınar Ataca Atilla, Helen E. Heslop and Rayne H. Rouce. Their work appears in journals such as Molecular Therapy, Cytotherapy, Blood, Biology of Blood and Marrow Transplantation and Frontiers in Immunology.

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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