Liyan Wen

2.2k total citations
9 papers, 198 citations indexed

About

Liyan Wen is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Liyan Wen has authored 9 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Liyan Wen's work include Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (3 papers) and Influenza Virus Research Studies (2 papers). Liyan Wen is often cited by papers focused on Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (3 papers) and Influenza Virus Research Studies (2 papers). Liyan Wen collaborates with scholars based in China, Hong Kong and United States. Liyan Wen's co-authors include Yinping Liu, Wenwei Tu, YL Lau, Jian Zheng, Zheng Xiang, Ke Ni, Ming Liu, Qingyun Chen, Gcf Chan and Ping Zhu and has published in prestigious journals such as Journal of Virology, Signal Transduction and Targeted Therapy and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Liyan Wen

9 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liyan Wen China	7	90	56	54	49	30	9	198
Daniela Caravelli Italy	7	77 0.9×	43 0.8×	46 0.9×	132 2.7×	19 0.6×	13	217
Kissy Guevara‐Hoyer Spain	9	127 1.4×	31 0.6×	33 0.6×	67 1.4×	24 0.8×	28	212
Christoph B. Geier Austria	9	110 1.2×	37 0.7×	52 1.0×	57 1.2×	22 0.7×	23	220
Sólrún Melkorka Maggadóttir United States	9	124 1.4×	55 1.0×	46 0.9×	59 1.2×	30 1.0×	16	224
Sushila A. Toulmin United States	7	55 0.6×	65 1.2×	41 0.8×	31 0.6×	14 0.5×	9	188
Takahide Ara Japan	9	107 1.2×	69 1.2×	17 0.3×	93 1.9×	37 1.2×	54	324
E. Gérard France	10	56 0.6×	47 0.8×	28 0.5×	129 2.6×	17 0.6×	38	216
Benedetta Bonacci United States	5	264 2.9×	59 1.1×	38 0.7×	70 1.4×	20 0.7×	5	319
Tapan Agnihotri India	6	209 2.3×	77 1.4×	30 0.6×	70 1.4×	49 1.6×	7	300
Larissa Henze Germany	7	28 0.3×	36 0.6×	37 0.7×	41 0.8×	60 2.0×	10	140

Countries citing papers authored by Liyan Wen

Since Specialization

Citations

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

Fields of papers citing papers by Liyan Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Liyan Wen. A scholar is included among the top collaborators of Liyan Wen 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 Liyan Wen. Liyan Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Luo, Feiyang, et al.. (2023). Current Understanding of Microbiomes in Cancer Metastasis. Cancers. 15(6). 1893–1893. 21 indexed citations

2.

Zheng, Jian, Liyan Wen, Hui‐Ling Yen, et al.. (2021). Phenotypic and Functional Characteristics of a Novel Influenza Virus Hemagglutinin-Specific Memory NK Cell. Journal of Virology. 95(12). 13 indexed citations

3.

Wen, Kun, Zheng Xiang, Chunyu Huang, et al.. (2020). CD137 costimulation enhances the antiviral activity of Vγ9Vδ2-T cells against influenza virus. Signal Transduction and Targeted Therapy. 5(1). 74–74. 24 indexed citations

4.

Ni, Ke, Ming Liu, Jian Zheng, et al.. (2017). PD-1/PD-L1 Pathway Mediates the Alleviation of Pulmonary Fibrosis by Human Mesenchymal Stem Cells in Humanized Mice. American Journal of Respiratory Cell and Molecular Biology. 58(6). 684–695. 76 indexed citations

5.

Liu, Yuan, Jian Zheng, Yinping Liu, et al.. (2017). Uncompromised NK cell activation is essential for virus-specific CTL activity during acute influenza virus infection. Cellular and Molecular Immunology. 15(9). 827–837. 28 indexed citations

6.

Wen, Liyan, Sha Yang, Ping Zhu, et al.. (2016). Peptide mimics of a carbohydrate-associated epitope expressed by cancer cells: Identification of vaccine candidates. Molecular Medicine Reports. 14(6). 5237–5244. 4 indexed citations

7.

Yang, Daqing, et al.. (2013). Pre-treatment with Mycobacterium avium-derived lipids reduces the macrophage response to interferon γ in BCG-vaccinated mice. Journal of Medical Microbiology. 62(7). 980–987. 3 indexed citations

8.

Wen, Liyan, Ping Zhu, Yanjun Liu, et al.. (2012). Development of a fluorescence immunochromatographic assay for the detection of zeta globin in the blood of (−−SEA) α-thalassemia carriers. Blood Cells Molecules and Diseases. 49(3-4). 128–132. 12 indexed citations

9.

Yang, Da‐Qing, et al.. (2011). Peptide mimics of peptidoglycan are vaccine candidates and protect mice from infection with Staphylococcus aureus. Journal of Medical Microbiology. 60(7). 995–1002. 17 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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