Qing Hu

1.1k total citations · 1 hit paper
31 papers, 722 citations indexed

About

Qing Hu is a scholar working on Obstetrics and Gynecology, Pharmacology and Epidemiology. According to data from OpenAlex, Qing Hu has authored 31 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Obstetrics and Gynecology, 5 papers in Pharmacology and 5 papers in Epidemiology. Recurrent topics in Qing Hu's work include Gynecological conditions and treatments (5 papers), Computational Drug Discovery Methods (5 papers) and COVID-19 Clinical Research Studies (4 papers). Qing Hu is often cited by papers focused on Gynecological conditions and treatments (5 papers), Computational Drug Discovery Methods (5 papers) and COVID-19 Clinical Research Studies (4 papers). Qing Hu collaborates with scholars based in China and United States. Qing Hu's co-authors include Guang‐Bo Ge, Guanghao Zhu, Yuan Xiong, Ping Huang, Yani Zhang, Xiao‐Qing Guan, Haonan Wang, Hui Tang, Chang Gao and Ruifang Li and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Qing Hu

29 papers receiving 716 citations

Hit Papers

The SARS‐CoV‐2 main protease (Mpro): Structure, function,... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Hu China 16 191 176 164 113 72 31 722
Manne Munikumar India 16 134 0.7× 153 0.9× 229 1.4× 88 0.8× 44 0.6× 44 725
Shalki Choudhary India 13 116 0.6× 96 0.5× 192 1.2× 210 1.9× 91 1.3× 38 641
Urooj Fatima Pakistan 11 613 3.2× 182 1.0× 286 1.7× 49 0.4× 69 1.0× 56 1.2k
Puneet Dhamija India 11 305 1.6× 146 0.8× 171 1.0× 59 0.5× 37 0.5× 50 692
Divya Teli India 11 83 0.4× 184 1.0× 152 0.9× 100 0.9× 111 1.5× 21 514
Madhu Cholenahalli Lingaraju India 12 211 1.1× 129 0.7× 301 1.8× 43 0.4× 51 0.7× 24 699
Rasika R. Hudlikar United States 15 290 1.5× 66 0.4× 403 2.5× 58 0.5× 51 0.7× 22 955
Haneen Amawi Jordan 18 120 0.6× 78 0.4× 465 2.8× 203 1.8× 88 1.2× 46 1.1k
Jonaid Ahmad Malik India 17 270 1.4× 58 0.3× 268 1.6× 38 0.3× 50 0.7× 39 786
Ravi Shankar Prasad Singh United States 19 191 1.0× 78 0.4× 225 1.4× 67 0.6× 153 2.1× 48 971

Countries citing papers authored by Qing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Hu. A scholar is included among the top collaborators of Qing 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 Qing Hu. Qing 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.
Lu, Jiaming, Qing Hu, Lei Yan, et al.. (2025). Task Modulation of Resting-State Functional Gradient Stability in Lifelong Premature Ejaculation: An FMRI Study. eNeuro. 12(6). ENEURO.0066–25.2025.
3.
Hu, Qing, Yiwen Zhang, Pengcheng Chen, et al.. (2024). Discovery and characterization of naturally occurring covalent inhibitors of SARS-CoV-2 Mpro from the antiviral herb Ephedra. Chinese Journal of Natural Medicines. 22(9). 797–807. 1 indexed citations
4.
Zhu, Juncheng, Qing Hu, Dongpo He, et al.. (2024). Light‐Driven C−C Coupling for Targeted Synthesis of CH3COOH with Nearly 100 % Selectivity from CO2. Angewandte Chemie International Edition. 63(13). e202400828–e202400828. 46 indexed citations
5.
Hu, Qing, et al.. (2024). Intestinal metabolite xylulose inhibits colorectal cancer by inducing apoptosis through the MAPK signalling pathway. Toxicology and Applied Pharmacology. 487. 116960–116960. 1 indexed citations
6.
Ren, Yongcheng, et al.. (2024). Dose–response association between Chinese visceral adiposity index and cardiovascular disease: a national prospective cohort study. Frontiers in Endocrinology. 15. 1284144–1284144. 24 indexed citations
7.
Hu, Qing, et al.. (2024). Global burden of neonatal preterm birth: A systematic analysis for the global burden of disease study 2019. Public Health. 238. 162–172. 1 indexed citations
8.
Zhou, Nan, Peipei Jiang, Ke Ma, et al.. (2024). Non-invasive staging of endometrial fibrosis using diffusion-weighted imaging: a feasibility study. Reproductive BioMedicine Online. 50(6). 104776–104776. 1 indexed citations
9.
Zhang, Yani, Guanghao Zhu, Wei Liu, et al.. (2023). Discovery and characterization of the covalent SARS-CoV-2 3CLpro inhibitors from Ginkgo biloba extract via integrating chemoproteomic and biochemical approaches. Phytomedicine. 114. 154796–154796. 17 indexed citations
10.
Hu, Qing, Yuan Xiong, Guanghao Zhu, et al.. (2022). The SARS‐CoV‐2 main protease (Mpro): Structure, function, and emerging therapies for COVID‐19. SHILAP Revista de lepidopterología. 3(3). e151–e151. 149 indexed citations breakdown →
11.
Xiong, Yuan, Guanghao Zhu, Haonan Wang, et al.. (2021). Discovery of naturally occurring inhibitors against SARS-CoV-2 3CLpro from Ginkgo biloba leaves via large-scale screening. Fitoterapia. 152. 104909–104909. 57 indexed citations
12.
Xiong, Yuan, Guanghao Zhu, Qing Hu, et al.. (2021). Flavonoids in Ampelopsis grossedentata as covalent inhibitors of SARS-CoV-2 3CLpro: Inhibition potentials, covalent binding sites and inhibitory mechanisms. International Journal of Biological Macromolecules. 187. 976–987. 60 indexed citations
13.
Hu, Qing, Haonan Wang, Guanghao Zhu, et al.. (2021). Identification of Vitamin K3 and its analogues as covalent inhibitors of SARS-CoV-2 3CLpro. International Journal of Biological Macromolecules. 183. 182–192. 31 indexed citations
14.
Zhang, Wen, Rui Qi, Xiang‐Rong Qin, et al.. (2021). Seroprevalence and asymptomatic carrier status of SARS-CoV-2 in Wuhan City and other places of China. PLoS neglected tropical diseases. 15(1). e0008975–e0008975. 18 indexed citations
15.
Luo, Gang, Tao Chen, Qing Hu, et al.. (2020). A 5-Year Retrospective Cohort Study. Pancreas. 49(9). 1161–1167. 37 indexed citations
16.
Hu, Qing, Sheng Shu, Qihang Zhou, et al.. (2020). Design, synthesis and biological evaluation of novel chalcone-like compounds as potent and reversible pancreatic lipase inhibitors. Bioorganic & Medicinal Chemistry. 29. 115853–115853. 34 indexed citations
17.
Wang, Dan, Ruifang Li, Juan Wang, et al.. (2020). Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study. BMC Infectious Diseases. 20(1). 519–519. 91 indexed citations
18.
Chen, Ru, et al.. (2020). A new rapid screening program based on risk scores for COVID-19 patients. Internal and Emergency Medicine. 16(4). 925–932. 1 indexed citations
19.
Hou, Xu-Dong, Xiao‐Qing Guan, Yun‐Feng Cao, et al.. (2019). Inhibition of pancreatic lipase by the constituents in St. John's Wort: In vitro and in silico investigations. International Journal of Biological Macromolecules. 145. 620–633. 47 indexed citations
20.
Chen, Ru, et al.. (2017). A Posterior Circulation Ischemia Risk Score System to Assist the Diagnosis of Dizziness. Journal of Stroke and Cerebrovascular Diseases. 27(2). 506–512. 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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