Tian Yang

524 citations
14 papers · 369 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Bioactive natural compounds
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

    • Genomics, phytochemicals, and oxidative stress 2
    • RNA modifications and cancer 2
    • Redox biology and oxidative stress 2
    • Pain Mechanisms and Treatments 2

Tian Yang

14 papers receiving 367 citations

Peers

Tian Yang
Comparison fields: 5 of 90
  • Cancer Research 120
  • Molecular Biology 183
  • Toxicology 9
  • Biological Psychiatry 6
  • Physiology 58
Replace Yan Meng with:
Yan Meng China
Guohu Weng China
Ya‐Bin Tang China
Valeska Helfinger Germany
Kathleen A. Mattingly United States
Ziyang Chen China
Chotiros Daosukho United States
Lulu Fan China
Rui‐Cheng Xu China
Nipa Patel United States
Tian Yang relative to Yan Meng China Yan Meng's profile →
Citations per field
00.5×
Yan Meng · 1×
Citations per year

Countries citing papers authored by Tian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201591
2 202052
3 201844
4 201934
5 201929
6 201421
7 201919
8 202318
9 202017
10 202016
11 202016
12 20227
13 20213
14 20252

About Tian Yang

Tian Yang is a scholar working on Molecular Biology, Physiology, Immunology, Cancer Research and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 369 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Molecular Sensors and Ion Detection (2 papers), Pain Mechanisms and Treatments (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), RNA modifications and cancer (2 papers), Redox biology and oxidative stress (2 papers), Immune cells in cancer (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cancer Research (120 citations), Molecular Biology (183 citations), Toxicology (9 citations), Biological Psychiatry (6 citations) and Physiology (58 citations). Tian Yang has collaborated with scholars based in China and United States. Frequent co-authors include Yongchang Wei, De‐Li Cao, Fuling Zhou, Ying Lü, Yong‐Jing Gao, Bao‐Chun Jiang, Balu Wu, Yanxia Jin, Dongdong Zhang and Yunbao Pan. Their work appears in journals such as Frontiers in Oncology, Oxidative Medicine and Cellular Longevity, Brain Behavior and Immunity, Aging and Analytical Chemistry.

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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