Xing Yang

1.1k citations
50 papers · 848 · h-index 17

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 3
    • Autophagy in Disease and Therapy 4
    • Mycobacterium research and diagnosis 2

Xing Yang

47 papers receiving 838 citations

Peers

Xing Yang
Comparison fields: 5 of 114
  • Cancer Research 137
  • Pathology and Forensic Medicine 131
  • Immunology 133
  • Biological Psychiatry 12
  • Physiology 23
Replace Chikako Watanabe with:
Chikako Watanabe Japan
Huihui Ma China
Hideki Furuya United States
Jesús Cosín‐Roger Spain
Blake M. Warner United States
Sunil Yeruva Germany
Peter Wasiliew Germany
Shigeaki Nagao Japan
I. V. Kudryavtsev Russia
Xing Yang relative to Chikako Watanabe Japan Chikako Watanabe's profile →
Citations per field
00.5×2.7×
Chikako Watanabe · 1×
Citations per year

Countries citing papers authored by Xing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009115
2 2009111
3 201670
4
miR-200b regulates epithelial-mesenchymal transition of chemo-resistant breast cancer cells by targeting FN1.
201755
5 201952
6 200440
7 202029
8 201527
9 200927
10 201826
11 201726
12 200525
13 202124
14 202122
15 202020
16 202117
17 202116
18 201116
19 201812
20 201911

About Xing Yang

Xing Yang is a scholar working on Molecular Biology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 50 papers that have together received 848 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Cancer Mechanisms and Therapy (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Cancer Research (137 citations), Pathology and Forensic Medicine (131 citations), Immunology (133 citations), Biological Psychiatry (12 citations) and Physiology (23 citations). Xing Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kassandra L. Munger, Alberto Ascherio, KG Simon, Yixue Li, Chaochun Wei, Lu Xie, Qian Yang, Liqi Zhu, Chaker N. Adra and Chunxiao Mou. Their work appears in journals such as BioMed Research International, The International Journal of Biochemistry & Cell Biology, International Journal of Low-Carbon Technologies, Pain Research and Management and Free Radical Biology and Medicine.

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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