Kaiwen Yu

2.5k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Kaiwen Yu is a scholar working on Molecular Biology, Endocrinology and Food Science. According to data from OpenAlex, Kaiwen Yu has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Endocrinology and 6 papers in Food Science. Recurrent topics in Kaiwen Yu's work include Salmonella and Campylobacter epidemiology (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Kaiwen Yu is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Kaiwen Yu collaborates with scholars based in China, United States and Taiwan. Kaiwen Yu's co-authors include Xiaoyun Liu, Zhao‐Qing Luo, Mo Hu, Jiazhang Qiu, Ernesto Nakayasu, Chittaranjan Das, Junmin Peng, Yunhao Tan, Michael J. Sheedlo and Jiaqi Fu and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Kaiwen Yu

39 papers receiving 1.2k citations

Hit Papers

Ubiquitination independent of E1 and E2 enzymes by bacter... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaiwen Yu China 19 690 247 158 148 96 41 1.2k
Koshi Imami Japan 23 1.1k 1.6× 68 0.3× 93 0.6× 244 1.6× 65 0.7× 59 1.7k
Cheng‐Yu Tsai United States 17 758 1.1× 67 0.3× 194 1.2× 293 2.0× 91 0.9× 52 1.6k
Kyoung‐Seok Ryu South Korea 22 1.1k 1.5× 100 0.4× 83 0.5× 54 0.4× 37 0.4× 83 1.4k
Lilliana Radoshevich United States 13 709 1.0× 105 0.4× 318 2.0× 261 1.8× 338 3.5× 22 1.5k
Jessica Chen United States 12 540 0.8× 81 0.3× 60 0.4× 59 0.4× 266 2.8× 26 1.1k
Quentin Giai Gianetto France 16 560 0.8× 66 0.3× 120 0.8× 82 0.6× 43 0.4× 45 907
Justyna Sawa‐Makarska Austria 17 861 1.2× 114 0.5× 424 2.7× 76 0.5× 28 0.3× 19 1.4k
Sadhna Phanse Canada 18 947 1.4× 72 0.3× 69 0.4× 44 0.3× 23 0.2× 45 1.2k
Benjamin W. Spiller United States 19 668 1.0× 70 0.3× 107 0.7× 171 1.2× 12 0.1× 38 1.1k
Mike Romanos United Kingdom 14 1.1k 1.5× 60 0.2× 90 0.6× 88 0.6× 41 0.4× 18 1.4k

Countries citing papers authored by Kaiwen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiwen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiwen Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiwen Yu. A scholar is included among the top collaborators of Kaiwen Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaiwen Yu. Kaiwen Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiao, Yun, Kaiwen Yu, Sivaraman Natarajan, et al.. (2025). Spotiphy enables single-cell spatial whole transcriptomics across an entire section. Nature Methods. 22(4). 724–736. 10 indexed citations
2.
Hunt, Liam C., Suresh Poudel, Kaiwen Yu, et al.. (2025). Proteome solubility is differentially reshaped by thermal stress and regulators of ubiquitination. Journal of Biological Chemistry. 301(9). 110517–110517.
3.
Yu, Kaiwen, Xi Wang, Chenxi Zhang, et al.. (2025). Clc-db: an open-source online database of chiral ligands and catalysts. Journal of Cheminformatics. 17(1). 45–45. 1 indexed citations
4.
Fan, Xinlong, et al.. (2025). Engineering metalloenzymes for new-to-nature carbene and nitrene transfer biocatalysis. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 72. 4–23. 1 indexed citations
5.
6.
Yu, Kaiwen, et al.. (2024). Design and preparation of highly crystalline K‐intercalated W@PCN: an efficient material for aniline elimination. Rare Metals. 43(3). 1337–1342. 8 indexed citations
7.
Yu, Kaiwen, et al.. (2023). Genome-wide analyses of lung cancer after single high-dose radiation at five time points (2, 6, 12, 24, and 48 h). Frontiers in Genetics. 14. 1126236–1126236. 1 indexed citations
8.
9.
Wang, Erming, Minghui Wang, Lei Guo, et al.. (2023). Genome‐wide methylomic regulation of multiscale gene networks in Alzheimer's disease. Alzheimer s & Dementia. 19(8). 3472–3495. 16 indexed citations
10.
Zhang, Zhengrong, Kaiwen Yu, Yang You, et al.. (2023). Comprehensive characterization of human brain‐derived extracellular vesicles using multiple isolation methods: Implications for diagnostic and therapeutic applications. Journal of Extracellular Vesicles. 12(8). e12358–e12358. 39 indexed citations
11.
Wang, Minghui, Erming Wang, Courtney Micallef, et al.. (2023). Multi-omic atlas of the parahippocampal gyrus in Alzheimer’s disease. Scientific Data. 10(1). 602–602. 5 indexed citations
12.
Song, Lei, Jingjing Luo, Hongou Wang, et al.. (2022). Legionella pneumophila regulates host cell motility by targeting Phldb2 with a 14-3-3ζ-dependent protease effector. eLife. 11. 23 indexed citations
13.
Myasnikov, Alexander, Hanwen Zhu, Patricia Hixson, et al.. (2021). Structural analysis of the full-length human LRRK2. Cell. 184(13). 3519–3527.e10. 112 indexed citations
14.
Yu, Kaiwen, Zhen Wang, Zhiping Wu, et al.. (2021). High-Throughput Profiling of Proteome and Posttranslational Modifications by 16-Plex TMT Labeling and Mass Spectrometry. Methods in molecular biology. 2228. 205–224. 16 indexed citations
15.
Cheng, Sen, Lu Wang, Qian Liu, et al.. (2017). Identification of a Novel Salmonella Type III Effector by Quantitative Secretome Profiling. Molecular & Cellular Proteomics. 16(12). 2219–2228. 26 indexed citations
16.
Cui, Jinyu, Kaiwen Yu, Song Yang, et al.. (2016). Biosensor-assisted transcriptional regulator engineering for Methylobacterium extorquens AM1 to improve mevalonate synthesis by increasing the acetyl-CoA supply. Metabolic Engineering. 39. 159–168. 51 indexed citations
17.
Qiu, Jiazhang, Michael J. Sheedlo, Kaiwen Yu, et al.. (2016). Ubiquitination independent of E1 and E2 enzymes by bacterial effectors. Nature. 533(7601). 120–124. 259 indexed citations breakdown →
18.
Wang, Yanan, Mo Hu, Qian Liu, et al.. (2016). Role of the ESAT-6 secretion system in virulence of the emerging community-associated Staphylococcus aureus lineage ST398. Scientific Reports. 6(1). 25163–25163. 40 indexed citations
19.
Yang, Yufei, et al.. (2015). Mass spectrometry-based proteomic approaches to study pathogenic bacteria-host interactions. Protein & Cell. 6(4). 265–274. 38 indexed citations
20.
Hu, Mo, Yanhua Liu, Kaiwen Yu, & Xiaoyun Liu. (2014). Decreasing the amount of trypsin in in-gel digestion leads to diminished chemical noise and improved protein identifications. Journal of Proteomics. 109. 16–25. 46 indexed citations

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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