Kaiyan Yang

1.1k citations
41 papers · 773 indexed · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research

Papers in

Kaiyan Yang

38 papers receiving 763 citations

Peers

Kaiyan Yang
Comparison fields: 5 of 87
  • Cancer Research 315
  • Oncology 190
  • Molecular Biology 437
  • Pulmonary and Respiratory Medicine 122
  • Pathology and Forensic Medicine 58
Replace Markus Sprenger‐Haussels with:
Markus Sprenger‐Haussels Germany
Matteo Pallocca Italy
Zhenqing Feng China
Yeon-Su Lee South Korea
Dwight D. Im United States
Lenka Kubiczková Czechia
Shuguang Zuo China
Christoph A. Gebeshuber Austria
Yanlin Huang China
Fabien Gay France
Kaiyan Yang relative to Markus Sprenger‐Haussels Germany Markus Sprenger‐Haussels's profile →
Citations per field
00.5×1.5×2.0×
Markus Sprenger‐Haussels · 1×
Citations per year

Countries citing papers authored by Kaiyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20232
4 20234
5 202254
6 20229
7 202213
8 202299
9 202121
10 202034
11 202057
12 202010
13 201915
14 201811
15 201616
16 20143
17 20110
18 201113
19 2010102
20 200922

About Kaiyan Yang

Kaiyan Yang is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Biochemistry and Molecular Biology, having authored 41 papers that have together received 773 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Ubiquitin and proteasome pathways (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (315 citations), Oncology (190 citations), Molecular Biology (437 citations), Pulmonary and Respiratory Medicine (122 citations) and Pathology and Forensic Medicine (58 citations). Kaiyan Yang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Xiaorong Li, Gui Hu, Hongxian Wang, Wei Wu, Daojin Chen, Changwei Lin, Haihua Gu, Fei Long, Hongzhi Li and Zhixing Lu. Their work appears in journals such as Cancers, Scientific Reports, Frontiers in Immunology, Communications Physics and Gut.

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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