Songyi Xue

580 total citations
20 papers, 451 citations indexed

About

Songyi Xue is a scholar working on Molecular Biology, Organic Chemistry and Cancer Research. According to data from OpenAlex, Songyi Xue has authored 20 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Cancer Research. Recurrent topics in Songyi Xue's work include Chemical Synthesis and Analysis (5 papers), Reproductive System and Pregnancy (4 papers) and Cancer-related molecular mechanisms research (4 papers). Songyi Xue is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Reproductive System and Pregnancy (4 papers) and Cancer-related molecular mechanisms research (4 papers). Songyi Xue collaborates with scholars based in China, United States and Indonesia. Songyi Xue's co-authors include Minggang Lei, Yueying Wang, Xiaoran Liu, Tao Hu, Huan Liu, Xiaotian Qiu, Jianfeng Cai, Yan Shi, Bo Huang and Timothy Odom and has published in prestigious journals such as Accounts of Chemical Research, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Songyi Xue

20 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songyi Xue China 12 242 166 112 63 52 20 451
Amal A. Al‐Dossary United States 11 332 1.4× 76 0.5× 193 1.7× 6 0.1× 32 0.6× 13 546
Kai-Yue Zhang China 12 183 0.8× 16 0.1× 174 1.6× 16 0.3× 16 0.3× 27 560
Josef Souček Czechia 13 368 1.5× 23 0.1× 83 0.7× 15 0.2× 20 0.4× 22 550
Aram Kang South Korea 14 203 0.8× 39 0.2× 85 0.8× 29 0.5× 31 0.6× 31 535
Adam A. Walters United Kingdom 18 461 1.9× 153 0.9× 187 1.7× 19 0.3× 155 3.0× 33 842
Lina Ma China 13 370 1.5× 104 0.6× 65 0.6× 21 0.3× 8 0.2× 27 529
Mohammad Mahmoudi Gomari Iran 13 233 1.0× 37 0.2× 45 0.4× 17 0.3× 66 1.3× 26 405
Justyna Sokołowska Poland 8 167 0.7× 69 0.4× 63 0.6× 12 0.2× 72 1.4× 23 542
Josef Matoušek Czechia 15 503 2.1× 21 0.1× 108 1.0× 5 0.1× 27 0.5× 28 659
Jonathan K. Tsosie United States 6 422 1.7× 40 0.2× 139 1.2× 15 0.2× 78 1.5× 8 675

Countries citing papers authored by Songyi Xue

Since Specialization
Citations

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

Fields of papers citing papers by Songyi Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songyi Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Songyi Xue. A scholar is included among the top collaborators of Songyi Xue 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 Songyi Xue. Songyi Xue 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.
Wang, Yueying, et al.. (2023). Proteomic profiles and the function of RBP4 in endometrium during embryo implantation phases in pigs. BMC Genomics. 24(1). 200–200. 4 indexed citations
2.
Xue, Songyi, Wei Xu, Lei Wang, et al.. (2023). Rational Design of Sulfonyl-γ-AApeptides as Highly Potent HIV-1 Fusion Inhibitors with Broad-Spectrum Activity. Journal of Medicinal Chemistry. 66(18). 13319–13331. 3 indexed citations
4.
Wang, Lei, Chunlong Ma, M. Sacco, et al.. (2023). Development of the Safe and Broad‐Spectrum Aldehyde and Ketoamide Mpro inhibitors Derived from the Constrained α, γ‐AA Peptide Scaffold. Chemistry - A European Journal. 29(35). e202300476–e202300476. 2 indexed citations
5.
Xue, Songyi, Lei Wang, & Jianfeng Cai. (2022). Sulfono‐γ‐AApeptides as Protein Helical Domain Mimetics to Manipulate the Angiogenesis. ChemBioChem. 23(22). e202200298–e202200298. 3 indexed citations
6.
Zhou, Li, In Ho Jeong, Songyi Xue, et al.. (2022). Inhibition of the Ubiquitin Transfer Cascade by a Peptidomimetic Foldamer Mimicking the E2 N-Terminal Helix. Journal of Medicinal Chemistry. 66(1). 491–502. 4 indexed citations
7.
Xue, Songyi, Xinling Wang, Lei Wang, et al.. (2022). A novel cyclic γ-AApeptide-based long-acting pan-coronavirus fusion inhibitor with potential oral bioavailability by targeting two sites in spike protein. Cell Discovery. 8(1). 88–88. 18 indexed citations
8.
Huang, Bo, Li Zhou, Ruochuan Liu, et al.. (2022). Activation of E6AP/UBE3A-Mediated Protein Ubiquitination and Degradation Pathways by a Cyclic γ-AA Peptide. Journal of Medicinal Chemistry. 65(3). 2497–2506. 13 indexed citations
9.
Teng, Peng, Mengmeng Zheng, Yan Shi, et al.. (2021). The folding propensity of α/sulfono-γ-AA peptidic foldamers with both left- and right-handedness. Communications Chemistry. 4(1). 58–58. 13 indexed citations
10.
Wang, Yueying, et al.. (2020). Zearalenone Blocks Autophagy Flow and Induces Cell Apoptosis During Embryo Implantation in Gilts. Toxicological Sciences. 175(1). 126–139. 23 indexed citations
11.
Wang, Yueying, et al.. (2020). Small RNA-seq analysis of extracellular vesicles from porcine uterine flushing fluids during peri-implantation. Gene. 766. 145117–145117. 31 indexed citations
12.
Sang, Peng, Yan Shi, Bo Huang, et al.. (2020). Sulfono-γ-AApeptides as Helical Mimetics: Crystal Structures and Applications. Accounts of Chemical Research. 53(10). 2425–2442. 65 indexed citations
13.
Wang, Yueying, et al.. (2019). mRNA/lncRNA expression patterns and the function of fibrinogen‐like protein 2 in Meishan pig endometrium during the preimplantation phases. Molecular Reproduction and Development. 86(4). 354–369. 15 indexed citations
14.
Xue, Songyi, et al.. (2018). Annexin A8 (ANXA8) regulates proliferation of porcine endometrial cells via Akt signalling pathway. Reproduction in Domestic Animals. 54(1). 3–10. 13 indexed citations
15.
Xi, Yu, et al.. (2017). Sequence analysis of microRNAs during pre-implantation between Meishan and Yorkshire pigs. Gene. 646. 20–27. 17 indexed citations
16.
Wang, Guoqiang, Min Jiang, Qiang Zhang, et al.. (2017). Biobased copolyesters: Synthesis, sequence distribution, crystal structure, thermal and mechanical properties of poly(butylene sebacate-co-butylene furandicarboxylate). Polymer Degradation and Stability. 143. 1–8. 38 indexed citations
17.
Wang, Yueying, et al.. (2016). Identification of non-coding and coding RNAs in porcine endometrium. Genomics. 109(1). 43–50. 34 indexed citations
18.
Wang, Yueying, Songyi Xue, Xiaoran Liu, et al.. (2016). Analyses of Long Non-Coding RNA and mRNA profiling using RNA sequencing during the pre-implantation phases in pig endometrium. Scientific Reports. 6(1). 20238–20238. 143 indexed citations
19.
Xue, Songyi, et al.. (2016). A Thermodynamic Modeling of the Fe–Nd–Sb System. MATERIALS TRANSACTIONS. 57(2). 103–111. 5 indexed citations
20.
Wei, Guohua, et al.. (2011). A novel three-dimensional framework induced by π...π stacking of 2,2′-(alkylene-1,6-diyl)diisoquinolinium from Q[6]-based pseudorotaxane. Acta Crystallographica Section A Foundations of Crystallography. 67(a1). C540–C541. 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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