Yushuai Mi

1.6k citations
19 papers · 1.2k indexed · 2 hit papers · h-index 13
Topics
MicroRNA in disease regulation (7 papers)Extracellular vesicles in disease (5 papers)RNA modifications and cancer (3 papers)
Partner nations
ChinaSwedenGermany

In The Last Decade

Yushuai Mi

17 papers receiving 1.2k citations

Hit Papers

Tumor-derived exosomal miR-934 induces macrophage M2 pola...202020262022202420202022100200300400500

Peers

Yushuai Mi
Comparison fields: 5 of 82
  • Molecular Biology 871
  • Cancer Research 618
  • Immunology 253
  • Oncology 226
  • Pulmonary and Respiratory Medicine 109
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Citations per field
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Citations per year

Countries citing papers authored by Yushuai Mi

Since Specialization
Citations

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

Fields of papers citing papers by Yushuai Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yushuai Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Yushuai Mi. A scholar is included among the top collaborators of Yushuai Mi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yushuai Mi. Yushuai Mi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 8
3 4
4 0
5 14
6
Highly‐metastatic colorectal cancer cell released miR‐181a‐5p‐rich extracellular vesicles promote liver metastasis by activating hepatic stellate cells and remodelling the tumour microenvironmentbreakdown →
148
7 70
8 13
9
Tumor-derived exosomal miR-934 induces macrophage M2 polarization to promote liver metastasis of colorectal cancerbreakdown →
563
10 12
11 41
12 12
13 66
14 44
15 36
16 10
17 87
18
SERPINA4 is a novel independent prognostic indicator and a potential therapeutic target for colorectal cancer.
19
19 11

About Yushuai Mi

Yushuai Mi is a scholar working on Cancer Research, Molecular Biology and Molecular Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Extracellular vesicles in disease (5 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (618 citations), Molecular Biology (871 citations) and Immunology (253 citations). Yushuai Mi has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include Senlin Zhao, Dawei Li, Ping Wei, Yanzi Gu, Xinxiang Li, Sanjun Cai, Zhengxiang Zhang, Binbin Zheng-Lin, Bingjie Guan and Ye Xu. Their work appears in journals such as Nature Communications, Oncogene and Biochemical and Biophysical Research Communications.

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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