Mi Shao

642 citations
16 papers · 242 · h-index 7

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 12
    • Cancer Immunotherapy and Biomarkers 2
    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Single-cell and spatial transcriptomics 1

Mi Shao

12 papers receiving 241 citations

Peers

Mi Shao
Comparison fields: 5 of 50
  • Oncology 162
  • Immunology 92
  • Genetics 43
  • Hematology 16
  • Biomedical Engineering 59
Replace Nils W. Engel with:
Nils W. Engel Germany
Jaquelyn T. Zoine United States
Patrycja Wawrzyniecka United Kingdom
Alaina Kaiser United States
Rebecca Epperly United States
Martina Magni Italy
Haolong Lin China
Brianna Flynn United States
Diana Gumber United States
Xiaoqian Liang China
Mi Shao relative to Nils W. Engel Germany Nils W. Engel's profile →
Citations per field
00.5×
Nils W. Engel · 1×
Citations per year

Countries citing papers authored by Mi Shao

Since Specialization
Citations

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

Fields of papers citing papers by Mi Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202260
2 202153
3 202244
4 202431
5 202124
6 20208
7 20227
8 20185
9 20214
10 20193
11 20242
12 20231
13 20230
14 20180
15 20220
16 20180

About Mi Shao

Mi Shao is a scholar working on Oncology, Molecular Biology, Immunology, Hematology and Electrical and Electronic Engineering, having authored 16 papers that have together received 242 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Single-cell and spatial transcriptomics (1 paper), Advancements in Semiconductor Devices and Circuit Design (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Oncology (162 citations), Immunology (92 citations), Genetics (43 citations), Hematology (16 citations) and Biomedical Engineering (59 citations). Mi Shao has collaborated with scholars based in China, India and United States. Frequent co-authors include He Huang, Xinyi Teng, Pengxu Qian, Yue Huang, Xiaohui Si, Xia Li, Xiangjun Zeng, Gang Xiao, Jiazhen Cui and Yongxian Hu. Their work appears in journals such as Blood, Journal of Hematology & Oncology, Cancer Research, Medicine and Bone Marrow Transplantation.

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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