Kaiyuan Liu

985 citations
31 papers · 431 indexed · h-index 12
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 2
    • Machine Learning in Bioinformatics 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Gut microbiota and health 2
    • Advanced Proteomics Techniques and Applications 3
    • Mass Spectrometry Techniques and Applications 2

Kaiyuan Liu

27 papers receiving 428 citations

Peers

Kaiyuan Liu
Comparison fields: 5 of 85
  • Cancer Research 131
  • Molecular Biology 299
  • Spectroscopy 61
  • Immunology 54
  • Pharmacology 16
Replace Ahmed Mohamed with:
Ahmed Mohamed Australia
Xinxin Mao China
Nicholas J. Carruthers United States
Majda Haznadar United States
Xu Xiao China
Xiangli Meng China
Esther Sok Hwee Cheow Singapore
Daniela Digles Austria
Tzu-Ling Tseng Taiwan
Stefano Tiziani United States
Kaiyuan Liu relative to Ahmed Mohamed Australia Ahmed Mohamed's profile →
Citations per field
00.5×
Ahmed Mohamed · 1×
Citations per year

Countries citing papers authored by Kaiyuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20243
4 20242
5 202411
6 20247
7 202428
8 202333
9 20232
10 20220
11 202215
12 202211
13 20223
14 202113
15 20218
16 202023
17 202031
18 202048
19 20185
20 200722

About Kaiyuan Liu

Kaiyuan Liu is a scholar working on Cancer Research, Geriatrics and Gerontology and Molecular Biology, having authored 31 papers that have together received 431 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Machine Learning in Bioinformatics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), MicroRNA in disease regulation (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Gut microbiota and health (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (299 citations) and Spectroscopy (61 citations). Kaiyuan Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Haixu Tang, Sujun Li, Yuzhen Ye, Yang Dong, Tianyang Xu, Danyang Zhou, Xin Mou, Wenwei Jiang, Lin Fan and Lei Wang. Their work appears in journals such as Nature Communications, Bioinformatics 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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