Can Yang

528 citations
17 papers · 329 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Cancer-related gene regulation
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 5
    • Nuclear Structure and Function 2
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 2

Can Yang

16 papers receiving 327 citations

Peers

Can Yang
Comparison fields: 5 of 47
  • Cancer Research 129
  • Molecular Biology 229
  • Immunology 49
  • Oncology 62
  • Genetics 17
Replace Hiroki Kasama with:
Hiroki Kasama Japan
Ji Shi China
Tian-Xia Jiang China
Haiyang Li China
Yoojung Kwon South Korea
Eun Hye Hwang South Korea
Rohit P. Nagare India
Hun-Taek Kim United States
Dongdong Xue China
Can Yang relative to Hiroki Kasama Japan Hiroki Kasama's profile →
Citations per field
00.5×7.1×
Hiroki Kasama · 1×
Citations per year

Countries citing papers authored by Can Yang

Since Specialization
Citations

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

Fields of papers citing papers by Can Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202276
2 202173
3 202132
4 201929
5 201929
6 202126
7 201923
8 202019
9 20218
10 20254
11 20204
12 20202
13 20231
14 20211
15 20211
16 20251
17 20230

About Can Yang

Can Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Epidemiology, having authored 17 papers that have together received 329 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Radiation Effects in Electronics (3 papers), Nuclear Structure and Function (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Semiconductor materials and devices (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (129 citations), Molecular Biology (229 citations), Immunology (49 citations), Oncology (62 citations) and Genetics (17 citations). Can Yang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yifeng Tian, Shi Chen, Jingjing Pan, Long Huang, Baiyong Shen, Cheng‐Yu Liao, Zuwei Wang, Yi Huang, Zhi‐Qi Xiong and Hongfei Zhang. Their work appears in journals such as Cell Death and Disease, Microelectronics Reliability, Clinical Epigenetics, Human Cell and Cell Reports.

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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