Yueping Liu

5.3k total citations · 2 hit papers
31 papers, 2.5k citations indexed

About

Yueping Liu is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Yueping Liu has authored 31 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Plant Science and 9 papers in Infectious Diseases. Recurrent topics in Yueping Liu's work include SARS-CoV-2 and COVID-19 Research (8 papers), Plant Molecular Biology Research (8 papers) and COVID-19 Clinical Research Studies (6 papers). Yueping Liu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), Plant Molecular Biology Research (8 papers) and COVID-19 Clinical Research Studies (6 papers). Yueping Liu collaborates with scholars based in China and Estonia. Yueping Liu's co-authors include Bo Diao, Zilin Yuan, Yongwen Chen, Yingjun Tan, Zeqing Feng, Chenhui Wang, Yuzhang Wu, Li Chen, Min Li and Yi Zhang and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Clinical Infectious Diseases.

In The Last Decade

Yueping Liu

27 papers receiving 2.5k citations

Hit Papers

Reduction and Functional Exhaustion of T Cells in Patient... 2020 2026 2022 2024 2020 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueping Liu China 12 1.8k 918 488 344 274 31 2.5k
Jérôme C. Martin France 22 1.4k 0.8× 671 0.7× 855 1.8× 1.2k 3.6× 437 1.6× 49 3.5k
Rasmus Møller United States 5 2.1k 1.2× 814 0.9× 644 1.3× 756 2.2× 170 0.6× 6 2.9k
Benjamin E. Nilsson-Payant United States 9 2.1k 1.2× 778 0.8× 692 1.4× 814 2.4× 171 0.6× 12 2.9k
Yuchen Xia China 24 889 0.5× 403 0.4× 712 1.5× 279 0.8× 142 0.5× 73 2.5k
Kohei Oishi United States 10 2.2k 1.2× 813 0.9× 699 1.4× 815 2.4× 187 0.7× 14 3.0k
Zhao Wu China 12 1.0k 0.6× 648 0.7× 279 0.6× 149 0.4× 299 1.1× 28 1.9k
Weina Guo China 15 910 0.5× 430 0.5× 275 0.6× 85 0.2× 207 0.8× 29 1.6k
Yaohua Fan China 11 1.0k 0.6× 392 0.4× 276 0.6× 177 0.5× 106 0.4× 20 1.6k
Pin Yü China 18 1.4k 0.8× 354 0.4× 417 0.9× 191 0.6× 81 0.3× 38 2.2k

Countries citing papers authored by Yueping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yueping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yueping Liu. A scholar is included among the top collaborators of Yueping Liu 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 Yueping Liu. Yueping Liu 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
2.
Shen, Rong, Fanglei Liu, Yanting Li, et al.. (2024). Humoral and cellular immune responses induced by serogroup W135 meningococcal conjugate and polysaccharide vaccines. Vaccine. 42(11). 2781–2792. 1 indexed citations
3.
Liu, Zhiling, et al.. (2024). Effects of returning peach branch waste to fields on soil carbon cycle mediated by soil microbial communities. Frontiers in Microbiology. 15. 1406661–1406661.
4.
Zhao, Yutong, et al.. (2023). A Combinatorial TIR1-Aux/IAA Co-Receptor System for Peach Fruit Softening. Horticulturae. 9(7). 734–734. 1 indexed citations
5.
Qin, Yafei, et al.. (2023). The PpIAA5-ARF8 Module Regulates Fruit Ripening and Softening in Peach. Horticulturae. 9(10). 1149–1149. 3 indexed citations
6.
Yuan, Zilin, et al.. (2023). Exosome Derived from Human Umbilical Cord Mesenchymal Cell Exerts Immunomodulatory Effects on B Cells from SLE Patients. Journal of Immunology Research. 2023. 1–15. 15 indexed citations
7.
Sun, Yuting, et al.. (2023). Immune damage mechanisms of COVID-19 and novel strategies in prevention and control of epidemic. Frontiers in Immunology. 14. 1130398–1130398. 6 indexed citations
8.
Liu, Chenyu, et al.. (2023). Effects of peach branch organic fertilizer on the soil microbial community in peach orachards. Frontiers in Microbiology. 14. 1223420–1223420. 10 indexed citations
9.
Xing, Lijuan, Ming Zhu, Mingda Luan, et al.. (2021). miR169q and NUCLEAR FACTOR YA8 enhance salt tolerance by activating PEROXIDASE1 expression in response to ROS. PLANT PHYSIOLOGY. 188(1). 608–623. 69 indexed citations
10.
Diao, Bo, Chenhui Wang, Rongshuai Wang, et al.. (2021). Human kidney is a target for novel severe acute respiratory syndrome coronavirus 2 infection. Nature Communications. 12(1). 2506–2506. 347 indexed citations breakdown →
11.
Liu, Yueping, et al.. (2020). Expression of Rab3b in Human Glioma: Influence on Cell Proliferation and Apoptosis. Current Pharmaceutical Design. 27(7). 989–995. 9 indexed citations
12.
Diao, Bo, Chenhui Wang, Yingjun Tan, et al.. (2020). Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19). Frontiers in Immunology. 11. 827–827. 1724 indexed citations breakdown →
13.
Hu, Xiao, et al.. (2020). Genome-wide identification of the ARF (auxin response factor) gene family in peach and their expression analysis. Molecular Biology Reports. 47(6). 4331–4344. 33 indexed citations
14.
Liu, Ying, Yueping Liu, Bo Diao, et al.. (2020). Diagnostic indexes of a rapid immunoglobulin G/immunoglobulin M combined antibody test for severe acute respiratory syndrome coronavirus 2. Chinese Medical Journal. 134(4). 475–477. 15 indexed citations
15.
Liu, Yueping, Yue Pan, Zhenhong Hu, et al.. (2020). Thymosin Alpha 1 Reduces the Mortality of Severe Coronavirus Disease 2019 by Restoration of Lymphocytopenia and Reversion of Exhausted T Cells. Clinical Infectious Diseases. 71(16). 2150–2157. 102 indexed citations
16.
Zhang, Min, et al.. (2017). Molecular regulation mechanism of leaf development mediated by ath-miR169d in Arabidopsis thaliana.. Zhongguo nongye Kexue. 50(16). 3063–3070. 1 indexed citations
17.
Shi, Mengya, Xiao Hu, Wei Yu, et al.. (2017). Genome-Wide Profiling of Small RNAs and Degradome Revealed Conserved Regulations of miRNAs on Auxin-Responsive Genes during Fruit Enlargement in Peaches. International Journal of Molecular Sciences. 18(12). 2599–2599. 27 indexed citations
18.
Xie, Xiao‐Li, Yabin Liu, Yueping Liu, et al.. (2013). Reduced expression of SM22 is correlated with low autophagy activity in human colorectal cancer. Pathology - Research and Practice. 209(4). 237–243. 10 indexed citations
19.
Hu, Hao, Yong Liu, Yueping Liu, et al.. (2011). Proteomic analysis of peach endocarp and mesocarp during early fruit development. Physiologia Plantarum. 142(4). 390–406. 39 indexed citations
20.
Ma, Li, Yueping Liu, Xianghong Zhang, et al.. (2009). Effect of RhoA signaling transduction on expression of Ezrin in breast cancer cell lines.. PubMed. 28(2). 108–11. 8 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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