Yang Mi

1.2k citations
47 papers · 775 · h-index 16

Impact in

    • Reproductive tract infections research
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 9
    • RNA Research and Splicing 5
    • Circular RNAs in diseases 5
    • Epigenetics and DNA Methylation 5
    • Bladder and Urothelial Cancer Treatments 3

Yang Mi

44 papers receiving 771 citations

Peers

Yang Mi
Comparison fields: 5 of 98
  • Microbiology 90
  • Cancer Research 160
  • Immunology 123
  • Molecular Biology 373
  • Oncology 131
Replace Qiang Du with:
Qiang Du China
Xiaojuan Wang China
Lars Hareng Germany
Robert Suriano United States
Jee Eun Kim South Korea
Hui Guo China
Haiyun Liu United States
Mayuko Osada‐Oka Japan
Yanhua Kang China
Yang Mi relative to Qiang Du China Qiang Du's profile →
Citations per field
00.5×1.5×1.9×
Qiang Du · 1×
Citations per year

Countries citing papers authored by Yang Mi

Since Specialization
Citations

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

Fields of papers citing papers by Yang Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013127
2 202051
3 202149
4 201947
5 202040
6 201537
7 202035
8 201932
9 202128
10 201826
11 202226
12 202324
13 201624
14 201821
15 201920
16 202217
17 202414
18 202114
19 202414
20 202412

About Yang Mi

Yang Mi is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 47 papers that have together received 775 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers), Circular RNAs in diseases (5 papers), Epigenetics and DNA Methylation (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Microbiology (90 citations), Cancer Research (160 citations), Immunology (123 citations), Molecular Biology (373 citations) and Oncology (131 citations). Yang Mi has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Rajendra Kumar Gurumurthy, Thomas F. Meyer, Cindrilla Chumduri, Pengyuan Zheng, Feifei Ren, Youcai Tang, Yingwu Mei, Ihtisham Bukhari, Yan Xu and Kai Zhang. Their work appears in journals such as Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Cancer Science, Frontiers in Microbiology, Annals of Palliative Medicine and Renal Failure.

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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