Furong Qi

2.0k total citations · 1 hit paper
23 papers, 964 citations indexed

About

Furong Qi is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Furong Qi has authored 23 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 11 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Furong Qi's work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Immune cells in cancer (5 papers). Furong Qi is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Immune cells in cancer (5 papers). Furong Qi collaborates with scholars based in China, United States and Hong Kong. Furong Qi's co-authors include Zheng Zhang, Shuye Zhang, Qian Shen, Gang Xu, Qianting Yang, Juanjuan Zhao, Xuejiao Liao, Xiaoju Liu, Yang Liu and Haiyan Wang and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Furong Qi

21 papers receiving 947 citations

Hit Papers

Single cell RNA sequencing of 13 human tissues identify c... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Furong Qi China 9 672 256 203 185 125 23 964
Lohanna Palhinha Brazil 9 541 0.8× 229 0.9× 295 1.5× 195 1.1× 195 1.6× 19 1.0k
Isaclaudia G. Azevedo-Quintanilha Brazil 11 559 0.8× 233 0.9× 288 1.4× 208 1.1× 125 1.0× 14 930
Camila R. R. Pão Brazil 7 497 0.7× 218 0.9× 238 1.2× 173 0.9× 94 0.8× 8 819
Sara Jafarzadeh Iran 14 364 0.5× 160 0.6× 220 1.1× 200 1.1× 78 0.6× 26 843
Ao Jiang China 4 565 0.8× 269 1.1× 445 2.2× 174 0.9× 74 0.6× 10 1.1k
Zhidong Tang China 10 604 0.9× 284 1.1× 492 2.4× 191 1.0× 77 0.6× 20 1.2k
Jonasel Roque United States 4 711 1.1× 352 1.4× 342 1.7× 395 2.1× 159 1.3× 7 1.2k
Bandar A. Suliman Saudi Arabia 8 404 0.6× 194 0.8× 222 1.1× 129 0.7× 53 0.4× 21 753
Xuanlin Huang China 8 453 0.7× 227 0.9× 165 0.8× 49 0.3× 117 0.9× 9 854
Javier Carbajo-Lozoya Germany 14 401 0.6× 115 0.4× 191 0.9× 88 0.5× 52 0.4× 14 852

Countries citing papers authored by Furong Qi

Since Specialization
Citations

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

Fields of papers citing papers by Furong Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Furong Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Furong Qi. A scholar is included among the top collaborators of Furong Qi 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 Furong Qi. Furong Qi 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.
Liao, Xuejiao, Zhaoyong Zhang, Xiuye Wang, et al.. (2025). Sequential intranasal booster triggers class switching from intramuscularly primed IgG to mucosal IgA against SARS-CoV-2. Journal of Clinical Investigation. 135(5). 2 indexed citations
3.
Liu, Fang, et al.. (2024). Identification and evaluation of candidate COVID-19 critical genes and medicinal drugs related to plasma cells. BMC Infectious Diseases. 24(1). 1099–1099. 2 indexed citations
4.
He, Xiaomeng, Yanmei Lu, Furong Qi, et al.. (2023). Breakthrough infection evokes the nasopharyngeal innate immune responses established by SARS-CoV-2–inactivated vaccine. Frontiers in Immunology. 14. 1181121–1181121.
5.
Yang, Qianting, Furong Qi, Jinpei Li, et al.. (2023). The interaction of macrophages and CD8 T cells in bronchoalveolar lavage fluid is associated with latent tuberculosis infection. Emerging Microbes & Infections. 12(2). 2239940–2239940. 26 indexed citations
6.
Qi, Furong, Haiyan Wang, Dapeng Li, et al.. (2023). Nasopharyngeal neutrophilic‐retention signatures could predict disease progression in early SARS‐CoV‐2 infection. Journal of Medical Virology. 96(1). e29328–e29328. 1 indexed citations
7.
Li, Yaning, Qing Fan, Bing Zhou, et al.. (2022). Structural and functional analysis of an inter-Spike bivalent neutralizing antibody against SARS-CoV-2 variants. iScience. 25(6). 104431–104431. 8 indexed citations
8.
Xu, Gang, Furong Qi, Haiyan Wang, et al.. (2022). The Transient IFN Response and the Delay of Adaptive Immunity Feature the Severity of COVID-19. Frontiers in Immunology. 12. 816745–816745. 10 indexed citations
9.
Xu, Gang, Tongyang Xiao, Furong Qi, et al.. (2022). Multiomics approach reveals the ubiquitination-specific processes hijacked by SARS-CoV-2. Signal Transduction and Targeted Therapy. 7(1). 312–312. 29 indexed citations
10.
Qi, Furong, et al.. (2022). Single-cell analysis of the adaptive immune response to SARS-CoV-2 infection and vaccination. Frontiers in Immunology. 13. 964976–964976. 11 indexed citations
11.
Qi, Furong, Qiong Chen, Shen Qian, et al.. (2022). Dynamic Characteristics of Blood Platelet Count in COVID-19 Patients. Journal of Biomaterials and Tissue Engineering. 12(4). 778–787. 1 indexed citations
12.
Qi, Furong, Gang Xu, Xuejiao Liao, et al.. (2021). ScRNA-seq revealed the kinetic of nasopharyngeal immune responses in asymptomatic COVID-19 carriers. Cell Discovery. 7(1). 56–56. 6 indexed citations
13.
Qi, Furong, Wenbo Zhang, Jialu Huang, Lili Fu, & Jinfang Zhao. (2021). Single-Cell RNA Sequencing Analysis of the Immunometabolic Rewiring and Immunopathogenesis of Coronavirus Disease 2019. Frontiers in Immunology. 12. 651656–651656. 24 indexed citations
14.
Xu, Gang, Furong Qi, Hanjie Li, et al.. (2020). The differential immune responses to COVID-19 in peripheral and lung revealed by single-cell RNA sequencing. Cell Discovery. 6(1). 73–73. 150 indexed citations
15.
Qi, Furong, Qian Shen, Shuye Zhang, & Zheng Zhang. (2020). Single cell RNA sequencing of 13 human tissues identify cell types and receptors of human coronaviruses. Biochemical and Biophysical Research Communications. 526(1). 135–140. 633 indexed citations breakdown →
16.
Hou, Yali, Furong Qi, Xue Bai, et al.. (2020). Genome-wide analysis reveals molecular convergence underlying domestication in 7 bird and mammals. BMC Genomics. 21(1). 204–204. 10 indexed citations
17.
Qian, Shen, Jianghong An, Furong Qi, et al.. (2020). Tocilizumab exerts anti-inflammatory activity in six critically ill COVID-19 patients: a retrospective analysis. Annals of Translational Medicine. 8(14). 881–881. 6 indexed citations
19.
Li, Chunyan, Yali Hou, Jin Xu, et al.. (2017). A Direct Test of Selection in Cell Populations Using the Diversity in Gene Expression within Tumors. Molecular Biology and Evolution. 34(7). 1730–1742. 7 indexed citations
20.
Qi, Furong, et al.. (1994). [Quantitative study of P53 gene protein expression in the benign disease and cancer of breast].. PubMed. 23(6). 330–3. 2 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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