Fei Mo

675 citations
13 papers · 523 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer Research and Treatments

Papers in

    • Microtubule and mitosis dynamics 5
    • Genomics and Chromatin Dynamics 5
    • DNA Repair Mechanisms 2
    • Biopolymer Synthesis and Applications 2
    • Advanced biosensing and bioanalysis techniques 1

Fei Mo

13 papers receiving 518 citations

Peers

Fei Mo
Comparison fields: 5 of 62
  • Immunology 185
  • Biotechnology 56
  • Oncology 154
  • Cell Biology 82
  • Molecular Biology 273
Replace Angelika Freilinger with:
Angelika Freilinger Austria
Xiaodan Song China
Yanhua Yao China
Martín Enrique Rabassa Argentina
Xinyuan Dong United States
İlgen Mender United States
Yuriko Matsuzaki Japan
Nai-Jia Huang United States
Ambikai Gajan United States
Rachel S. Roberson United States
Fei Mo relative to Angelika Freilinger Austria Angelika Freilinger's profile →
Citations per field
00.5×2×4×6×8×9.9×
Angelika Freilinger · 1×
Citations per year

Countries citing papers authored by Fei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Fei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2021147
2 201696
3 201876
4 201771
5 202129
6 201922
7 201620
8 201819
9 201817
10 201915
11 20166
12 20234
13 20181

About Fei Mo

Fei Mo is a scholar working on Cell Biology, Molecular Biology, Biotechnology, Immunology and Oncology, having authored 13 papers that have together received 523 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Research and Treatments (2 papers), DNA Repair Mechanisms (2 papers), Biopolymer Synthesis and Applications (2 papers), Immune Cell Function and Interaction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Immunology (185 citations), Biotechnology (56 citations), Oncology (154 citations), Cell Biology (82 citations) and Molecular Biology (273 citations). Fei Mo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yaozhong Chen, Penghui He, Dongbo Cai, Xin Ma, Xing Liu, Shi-Yi Wang, Warren J. Leonard, Qin Wang, Zhiyou Wen and Xin Li. Their work appears in journals such as Journal of Molecular Cell Biology, Nature, Journal of Industrial Microbiology & Biotechnology, Scientific Reports and World Journal of Microbiology and Biotechnology.

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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