Xiaoming Yi

1.5k citations
31 papers · 1.1k · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Aging top 5%

Papers in

    • RNA Interference and Gene Delivery 3
    • Epigenetics and DNA Methylation 3
    • Advanced biosensing and bioanalysis techniques 3
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Xiaoming Yi

29 papers receiving 1.1k citations

Peers

Xiaoming Yi
Comparison fields: 5 of 88
  • Cancer Research 305
  • Aging 39
  • Physiology 497
  • Molecular Biology 697
  • Biotechnology 69
Replace Brittney‐Shea Herbert with:
Brittney‐Shea Herbert United States
Ruth I. Tennen United States
Sheryl R. Krig United States
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Romain Riscal United States
Ikuko Tsujimoto Japan
Xianke Zeng United States
Ming Lv China
Federica Di Sano Italy
Abhijit Chakladar United States
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoming Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000172
2 2001167
3 1999136
4 1999102
5 201683
6 200575
7 201764
8 201862
9 201552
10 201839
11 202238
12
Downregulation of miR-129 in peripheral blood mononuclear cells is a diagnostic and prognostic biomarker in prostate cancer.
201525
13 201718
14 201617
15 201717
16 200813
17 202112
18 202112
19 20208
20 20247

About Xiaoming Yi

Xiaoming Yi is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Physiology and Civil and Structural Engineering, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (5 papers), Telomeres, Telomerase, and Senescence (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Interference and Gene Delivery (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (305 citations), Aging (39 citations), Physiology (497 citations), Molecular Biology (697 citations) and Biotechnology (69 citations). Xiaoming Yi has collaborated with scholars based in China and United States. Frequent co-authors include Jerry W. Shay, Woodring E. Wright, Chaopeng Tang, Dara L. Aisner, Valerie M. Tesmer, Wenquan Zhou, Joseph A. Baur, Haowei He, Jingping Ge and Isabelle Savre‐Train. Their work appears in journals such as Frontiers in Oncology, Molecular and Cellular Biology, Toxicology and Applied Pharmacology, Oncotarget and Cancer Biomarkers.

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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