Yuzhen Ye

24.8k total citations · 1 hit paper
125 papers, 5.6k citations indexed

About

Yuzhen Ye is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Yuzhen Ye has authored 125 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 19 papers in Ecology and 16 papers in Genetics. Recurrent topics in Yuzhen Ye's work include Genomics and Phylogenetic Studies (41 papers), Gut microbiota and health (20 papers) and RNA and protein synthesis mechanisms (14 papers). Yuzhen Ye is often cited by papers focused on Genomics and Phylogenetic Studies (41 papers), Gut microbiota and health (20 papers) and RNA and protein synthesis mechanisms (14 papers). Yuzhen Ye collaborates with scholars based in United States, China and United Kingdom. Yuzhen Ye's co-authors include Haixu Tang, Adam Godzik, Thomas G. Doak, Mina Rho, Anthony A. Fodor, Yanjiao Zhou, Susan M. Huse, Yongan Zhao, Yu‐Wei Wu and Quan Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Yuzhen Ye

122 papers receiving 5.5k citations

Hit Papers

FragGeneScan: predicting genes in short and error-prone r... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzhen Ye United States 35 3.2k 1.2k 561 506 494 125 5.6k
Shengyue Wang China 47 2.7k 0.9× 606 0.5× 926 1.7× 230 0.5× 187 0.4× 164 7.0k
Jehee Lee South Korea 49 2.7k 0.8× 1.3k 1.0× 607 1.1× 295 0.6× 63 0.1× 407 9.4k
Volker Müller Germany 57 7.5k 2.3× 1.5k 1.3× 1.1k 2.0× 2.2k 4.4× 400 0.8× 276 11.6k
Heinrich Lünsdorf Germany 48 3.7k 1.2× 1.9k 1.6× 501 0.9× 274 0.5× 117 0.2× 137 6.9k
Tao Lu China 48 1.4k 0.4× 856 0.7× 1.1k 2.0× 547 1.1× 243 0.5× 221 7.7k
Wei E. Huang United Kingdom 49 2.6k 0.8× 1.1k 0.9× 227 0.4× 298 0.6× 76 0.2× 177 7.2k
Lili Zhang China 39 1.6k 0.5× 442 0.4× 332 0.6× 165 0.3× 173 0.4× 219 5.1k
Xiaoxue Wang China 43 2.4k 0.7× 1.9k 1.5× 623 1.1× 486 1.0× 63 0.1× 226 6.3k
Paul J. Weimer United States 62 5.2k 1.6× 876 0.7× 359 0.6× 221 0.4× 149 0.3× 156 13.8k

Countries citing papers authored by Yuzhen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yuzhen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhen Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzhen Ye. A scholar is included among the top collaborators of Yuzhen Ye 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 Yuzhen Ye. Yuzhen Ye 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.
Zhou, Xinrong, Hongchao Liu, Sidi Yang, et al.. (2025). Rapid Generation of Reverse Genetics Systems for Coronavirus Research and High‐Throughput Antiviral Screening Using Gibson DNA Assembly. Journal of Medical Virology. 97(1). e70171–e70171.
2.
Liu, Kaiyuan, et al.. (2024). SpecEncoder: deep metric learning for accurate peptide identification in proteomics. Bioinformatics. 40(Supplement_1). i257–i265. 3 indexed citations
3.
Hong, Yuhui, et al.. (2024). Multitask knowledge-primed neural network for predicting missing metadata and host phenotype based on human microbiome. Bioinformatics Advances. 5(1). vbae203–vbae203.
5.
Leung, David W. M., et al.. (2024). OsUVR8b , rather than OsUVR8a , plays a predominant role in rice UVR8 ‐mediated UV ‐B response. Physiologia Plantarum. 176(4). e14471–e14471. 2 indexed citations
6.
Liu, Kaiyuan, Yuzhen Ye, Sujun Li, & Haixu Tang. (2023). Accurate de novo peptide sequencing using fully convolutional neural networks. Nature Communications. 14(1). 7974–7974. 33 indexed citations
7.
Tang, Haixu, et al.. (2022). Locality-Sensitive Hashing-Based k-Mer Clustering for Identification of Differential Microbial Markers Related to Host Phenotype. Journal of Computational Biology. 29(7). 738–751. 1 indexed citations
8.
Ye, Yuzhen, et al.. (2021). Identification and classification of reverse transcriptases in bacterial genomes and metagenomes. Nucleic Acids Research. 50(5). e29–e29. 17 indexed citations
9.
Wang, Bin, Shize Yang, Hailong Chen, et al.. (2020). Revealing the role of oxygen vacancies in bimetallic PbBiO2Br atomic layers for boosting photocatalytic CO2 conversion. Applied Catalysis B: Environmental. 277. 119170–119170. 101 indexed citations
10.
Tian, Tao, Zheng Liu, Feng Zhu, et al.. (2020). Improvement of aggregate‐associated organic carbon and its stability in bauxite residue by substrate amendment addition. Land Degradation and Development. 31(16). 2405–2416. 33 indexed citations
11.
Schütte, Ursel M. E., Jeremiah A. Henning, Yuzhen Ye, et al.. (2019). Effect of permafrost thaw on plant and soil fungal community in a boreal forest: Does fungal community change mediate plant productivity response?. Journal of Ecology. 107(4). 1737–1752. 36 indexed citations
12.
Xue, Shengguo, Wenshun Ke, Feng Zhu, et al.. (2019). Effect of phosphogypsum and poultry manure on aggregate-associated alkaline characteristics in bauxite residue. Journal of Environmental Management. 256. 109981–109981. 45 indexed citations
13.
Xue, Shengguo, et al.. (2019). Regional-scale investigation of salt ions distribution characteristics in bauxite residue: A case study in a disposal area. Journal of Central South University. 26(2). 422–429. 8 indexed citations
14.
Ye, Yuzhen, et al.. (2019). CRISPRs for Strain Tracking and Their Application to Microbiota Transplantation Data Analysis. The CRISPR Journal. 2(1). 41–50. 8 indexed citations
15.
Xue, Shengguo, Yuzhen Ye, Feng Zhu, et al.. (2018). Changes in distribution and microstructure of bauxite residue aggregates following amendments addition. Journal of Environmental Sciences. 78. 276–286. 55 indexed citations
16.
Wang, Cheng, et al.. (2017). Plant species diversity in bauxite residue disposal areas. 34(5). 551. 1 indexed citations
17.
Huang, Yan, et al.. (2016). Gd (III) complex conjugate of low-molecular-weight chitosan as a contrast agent for magnetic resonance/fluorescence dual-modal imaging. Carbohydrate Polymers. 143. 288–295. 14 indexed citations
18.
Ye, Yuzhen, et al.. (2003). The Production and Genetic Analysis of the Artificial Gynogenetic Diploid in Silver Carp (Hypophthalmichthys molitrix). Huazhong Nongye Daxue xuebao. 22(2). 147–151. 1 indexed citations
19.
Fu, Hongtuo, et al.. (1997). EFFECT OF ENZYMIC GENE DOSAGE ON THE DISTANT HYBRIDIZATION OF FISHES. Acta Hydrobiologica Sinica. 21(2). 143–151. 3 indexed citations
20.
Ye, Yuzhen, et al.. (1986). KARYOTYPE EVIDENCES OF GENOME MANIPULATION IN THE CARP(CYPRINUS CARPIO L.). Acta Hydrobiologica Sinica. 10(3). 265–270. 1 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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