Qihong Yan

869 total citations
11 papers, 179 citations indexed

About

Qihong Yan is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Qihong Yan has authored 11 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Qihong Yan's work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Qihong Yan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Qihong Yan collaborates with scholars based in China and Nigeria. Qihong Yan's co-authors include Ling Chen, Jincun Zhao, Mengli Wu, Xia Jin, Jian‐Hua Wang, Pingchao Li, Yan-Heng Zhou, Xianmiao Ye, Xuefeng Niu and Guoying Yu and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and Signal Transduction and Targeted Therapy.

In The Last Decade

Qihong Yan

10 papers receiving 179 citations

Peers

Qihong Yan

IMMUN

PHEOH

NEURO

Insu Hwang South Korea

Omolbanin Amjadi Iran

Willem van Snippenberg Belgium

Monireh Kamali Iran

Jiangping Song China

Alizé Proust Canada

Elizabeth Jung United States

Ashley Y. Wu United States

Tien-Ying Hsiang United States

Guanqin Ma China

Insu Hwang South Korea

Qihong Yan

116 ×1.2

76 ×1.7

75 ×1.7

IMMUN

34 ×1.0

PHEOH

67 ×2.1

NEURO

Citations per year, relative to Qihong Yan Qihong Yan (= 1×) peers Insu Hwang

Countries citing papers authored by Qihong Yan

Since Specialization

Citations

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

Fields of papers citing papers by Qihong Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qihong Yan

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

All Works

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11 of 11 papers shown

Niu, Xuefeng, Ping He, Qihong Yan, et al.. (2025). An allelic atlas of immunoglobulin heavy chain variable regions reveals antibody binding epitope preference resilient to SARS-CoV-2 mutation escape. Frontiers in Immunology. 15. 1471396–1471396.

Tang, Tian, Chen Zhao, Lan Chen, et al.. (2024). Antibody dynamics for heterologous boosters with aerosolized Ad5-nCoV following inactivated COVID-19 vaccines. Human Vaccines & Immunotherapeutics. 20(1). 2423466–2423466. 1 indexed citations

Zhang, Xixi, Yanjun Zhang, Jingjing Wang, et al.. (2023). Disulfide stabilization reveals conserved dynamic features between SARS-CoV-1 and SARS-CoV-2 spikes. Life Science Alliance. 6(9). e202201796–e202201796. 6 indexed citations

Yan, Qihong & Jincun Zhao. (2023). UniBind: a novel artificial intelligence-based prediction model for SARS-CoV-2 infectivity and variant evolution. Signal Transduction and Targeted Therapy. 8(1). 464–464. 4 indexed citations

Wu, Mengli, Feng‐Liang Liu, Jing Sun, et al.. (2022). Combinational benefit of antihistamines and remdesivir for reducing SARS-CoV-2 replication and alleviating inflammation-induced lung injury in mice. 动物学研究. 43(3). 457–468. 4 indexed citations

Yan, Qihong, Xiaohan Huang, Yanjun Zhang, et al.. (2022). Shared IGHV1-69-encoded neutralizing antibodies contribute to the emergence of L452R substitution in SARS-CoV-2 variants. Emerging Microbes & Infections. 11(1). 2749–2761. 11 indexed citations

Wen, Jing, Xin Li, Qingxia Zhao, et al.. (2022). Pharmacological suppression of glycogen synthase kinase-3 reactivates HIV-1 from latency via activating Wnt/β-catenin/TCF1 axis in CD4 ⁺ T cells. Emerging Microbes & Infections. 11(1). 392–406. 17 indexed citations

Yan, Qihong, Pingchao Li, Xianmiao Ye, et al.. (2021). Longitudinal Peripheral Blood Transcriptional Analysis Reveals Molecular Signatures of Disease Progression in COVID-19 Patients. The Journal of Immunology. 206(9). 2146–2159. 24 indexed citations

Wu, Mengli, Feng‐Liang Liu, Jing Sun, et al.. (2021). SARS-CoV-2-triggered mast cell rapid degranulation induces alveolar epithelial inflammation and lung injury. Signal Transduction and Targeted Therapy. 6(1). 428–428. 62 indexed citations

10.

Niu, Xuefeng, Song Li, Pingchao Li, et al.. (2020). Analysis of Peripheral Blood T Cell Receptor and B Cell Receptor Repertoires Reveals Dynamic Adaptive Immune Responses in COVID-19 Patients. SSRN Electronic Journal. 2 indexed citations

11.

Zhang, Shengnan, Changhua Yi, Chufang Li, et al.. (2019). Chloroquine inhibits endosomal viral RNA release and autophagy-dependent viral replication and effectively prevents maternal to fetal transmission of Zika virus. Antiviral Research. 169. 104547–104547. 48 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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