Fengyu Hu

10.4k total citations · 1 hit paper
124 papers, 2.5k citations indexed

About

Fengyu Hu is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Fengyu Hu has authored 124 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Infectious Diseases, 48 papers in Epidemiology and 39 papers in Virology. Recurrent topics in Fengyu Hu's work include HIV Research and Treatment (37 papers), HIV/AIDS drug development and treatment (30 papers) and HIV/AIDS Research and Interventions (25 papers). Fengyu Hu is often cited by papers focused on HIV Research and Treatment (37 papers), HIV/AIDS drug development and treatment (30 papers) and HIV/AIDS Research and Interventions (25 papers). Fengyu Hu collaborates with scholars based in China, United States and United Kingdom. Fengyu Hu's co-authors include Stanley M. Lemon, Lucinda Hensley, Weiping Cai, Zongdi Feng, Kevin L. McKnight, Robert E. Lanford, Christopher M. Walker, Lifang Ping, Sook‐Hyang Jeong and Victoria J. Madden and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Fengyu Hu

116 papers receiving 2.5k citations

Hit Papers

A pathogenic picornavirus acquires an envelope by hijacki... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengyu Hu China 25 1.1k 625 515 440 430 124 2.5k
Yao Deng China 29 1.5k 1.4× 530 0.8× 548 1.1× 442 1.0× 131 0.3× 131 3.0k
Ralf Altmeyer France 31 2.0k 1.8× 778 1.2× 934 1.8× 749 1.7× 272 0.6× 58 3.8k
Rob Striker United States 26 599 0.5× 563 0.9× 721 1.4× 219 0.5× 340 0.8× 66 2.3k
Michael Forman United States 34 877 0.8× 1.9k 3.1× 319 0.6× 217 0.5× 134 0.3× 95 3.0k
Jannik Fonager Denmark 26 1.2k 1.1× 260 0.4× 392 0.8× 221 0.5× 97 0.2× 54 2.2k
Thomas R. Kreil Austria 30 1.3k 1.2× 590 0.9× 488 0.9× 358 0.8× 74 0.2× 116 2.4k
Flor H. Pujol Venezuela 27 1.1k 1.0× 1.1k 1.8× 245 0.5× 103 0.2× 1.1k 2.6× 150 2.5k
Yoshio Mori Japan 30 1.2k 1.1× 788 1.3× 816 1.6× 294 0.7× 823 1.9× 176 3.5k
Kai Dallmeier Belgium 23 1.5k 1.4× 396 0.6× 296 0.6× 136 0.3× 538 1.3× 72 2.2k
Mirko Trilling Germany 28 903 0.8× 903 1.4× 891 1.7× 944 2.1× 81 0.2× 94 3.0k

Countries citing papers authored by Fengyu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Fengyu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengyu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengyu Hu. A scholar is included among the top collaborators of Fengyu Hu 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 Fengyu Hu. Fengyu Hu 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.
Li, Liya, et al.. (2025). Genomic surveillance of SARS-CoV-2 variants in Guangzhou, China, from April 2023 to March 2024. Infection Genetics and Evolution. 130. 105747–105747.
2.
Hu, Fengyu. (2025). Predictive value of Braden scale combined with hemoglobin and hematocrit for oral mucosal pressure injury risk in ICU patients. American Journal of Translational Research. 17(6). 4744–4753.
3.
Fan, Qinghong, Guofang Tang, Mengling Jiang, et al.. (2025). Clinical prognostic value of TTV and HCMV but not EBV for outcomes in hospitalized HIV-positive patients. Biosafety and Health. 7(3). 173–182. 2 indexed citations
5.
Lv, Shiyun, Yun Lan, Quanmin Li, et al.. (2024). Pretreatment drug resistance among people living with HIV from 2018 to 2022 in Guangzhou, China. Journal of Medical Virology. 96(10). e29937–e29937. 2 indexed citations
6.
Li, Shaolong, et al.. (2024). Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration. Frontiers in Immunology. 15. 1441028–1441028. 1 indexed citations
8.
Dai, Weiji, Xuanyu Yang, Fengyu Hu, et al.. (2023). Solution combustion synthesis of hierarchical porous CoNiFeCu0.1 medium-entropy alloy: A highly efficient and robust electrocatalyst for water oxidation. Journal of Alloys and Compounds. 952. 169987–169987. 35 indexed citations
9.
Lan, Yun, Xizi Deng, Junbin Li, et al.. (2023). Drug Resistance Profile Among HIV-1 Infections Experiencing ART with Low-Level Viral Load in Guangdong China During 2011–2022: A Retrospective Study. Infection and Drug Resistance. Volume 16. 4953–4964. 10 indexed citations
10.
Zheng, Peiyan, Jing Ma, Jiao Yang, et al.. (2023). Evaluating SARS-CoV-2 antibody reactivity to natural exposure and inactivated vaccination with peptide microarrays. Frontiers in Immunology. 14. 1079960–1079960.
11.
Fan, Qinghong, Kai Deng, Huang Huang, et al.. (2022). Kinetics of Severity Biomarkers and Immunological Features of Methylprednisolone Therapy for Severe COVID-19 Patients. Frontiers in Immunology. 13. 758946–758946. 1 indexed citations
13.
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
14.
Lan, Yun, Xiang He, Ruolei Xin, et al.. (2020). Genetic Characteristics of HIV-1 CRF12_BF First Identified in Guangdong Province, China. AIDS Research and Human Retroviruses. 37(2). 157–161. 2 indexed citations
15.
Lan, Yun, Linghua Li, Xizi Deng, et al.. (2020). Near Full-Length Genomic Characterization of a Novel HIV-1 B/C Recombinant Form Identified in Guangdong Province, China. AIDS Research and Human Retroviruses. 37(7). 566–571. 1 indexed citations
16.
Wan, Zhengwei, Fengyu Hu, Linghua Li, et al.. (2020). Evidence that the second human pegivirus (HPgV-2) is primarily a lymphotropic virus and can replicate independent of HCV replication. Emerging Microbes & Infections. 9(1). 485–495. 11 indexed citations
17.
Li, Tianyi, Yun Lan, Hanping Li, et al.. (2019). Characterization of Four Nearly Full-Length Genomic Sequences of HIV-1 Subtype G Identified in Guangdong Province, China. AIDS Research and Human Retroviruses. 35(7). 668–672. 3 indexed citations
18.
Zhou, Shuntai, David R. McGivern, Christina L. Burch, et al.. (2018). Evolutionary pathways to NS5A inhibitor resistance in genotype 1 hepatitis C virus. Antiviral Research. 158. 45–51. 4 indexed citations
19.
Zhang, Alice, Fengshi Wu, Yang Zhao, et al.. (2017). What Would an HIV Cure Mean to You? Qualitative Analysis from a Crowdsourcing Contest in Guangzhou, China. AIDS Research and Human Retroviruses. 34(1). 80–87. 14 indexed citations
20.
Qin, Aiping, Weiping Cai, Ting Pan, et al.. (2012). Expansion of Monocytic Myeloid-Derived Suppressor Cells Dampens T Cell Function in HIV-1-Seropositive Individuals. Journal of Virology. 87(3). 1477–1490. 136 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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