Ronghua Jin

4.2k total citations · 1 hit paper
15 papers, 120 citations indexed

About

Ronghua Jin is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ronghua Jin has authored 15 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Ronghua Jin's work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory viral infections research (2 papers). Ronghua Jin is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory viral infections research (2 papers). Ronghua Jin collaborates with scholars based in China, United States and Czechia. Ronghua Jin's co-authors include Rui Song, Hong Chen, Liyan Liu, Dongfeng Wang, Shengqi Wang, Yunxiang Wang, Kai Lin, Zhen Rong, Yunlong Cao and Ye Hu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Ronghua Jin

15 papers receiving 116 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ultrasensitive single-step CRISPR detection of monkeypox virus in minutes with a vest-pocket diagnostic device

2024 57 citations Yunxiang Wang, Hong Chen et al. Nature Communications profile →

Peers

Countries citing papers authored by Ronghua Jin

Since Specialization

Citations

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

Fields of papers citing papers by Ronghua Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghua Jin

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Increased circulation of adenovirus in China during 2023-2024: Association with an increased prevalence of species B and school-associated transmission 2025 ·Journal of Infection ·Ronghua Jin, (unknown), Pei Li, (unknown), Hui Li, Ying Liu, (unknown), (unknown), Yamin Sun	3
2	Characterizing the epidemiology of Mycoplasma pneumoniae infections in China in 2022–2024: a nationwide cross-sectional study of over 1.6 million cases 2025 ·Emerging Microbes & Infections ·Yamin Sun, (unknown), Ronghua Jin, (unknown), (unknown), LU Zhong-xin, Junrong Liang, (unknown), Hong‐Yu Ren, Yuanyuan Zhang, Jianchun Chen, (unknown), (unknown), Yinghua Li, Jianfeng Zhou, Xi Wang, You Li, (unknown), Jianguo Xu, Tian Qin	4
3	hAb-Convergent: an antibody rearrangement analysis system for therapeutic antibody engineering based on convergent evolution 2025 ·Nucleic Acids Research ·Jinfeng Wang, Xiaomeng Ge, Qinglan Sun, M Chen, Shijie Qin, Dongmei Liu, Tao Deng, Juncai Ma, Songnian Hu, Ronghua Jin, Zhou Tong, Linhuan Wu	1
4	From Detection to Prediction: Advances in m6A Methylation Analysis Through Machine Learning and Deep Learning with Implications in Cancer 2025 ·International Journal of Molecular Sciences ·Ronghua Jin, Quan Zou, (unknown)	1
5	Nonconserved epitopes dominate reverse preexisting T cell immunity in COVID-19 convalescents 2024 ·Signal Transduction and Targeted Therapy ·Xin Wang, Jie Zhang, (unknown), Yuanyuan Guo, Peipei Guo, Xiaonan Yang, (unknown), Min Li, (unknown), (unknown), Xi Wang, Ronghua Jin, (unknown), George F. Gao, Jun Liu	2
6	Machine learning-based characterization of the gut microbiome associated with the progression of primary biliary cholangitis to cirrhosis 2024 ·Microbes and Infection ·(unknown), (unknown), (unknown), (unknown), (unknown), Dexi Chen, Bin Xu, Yanmin Liu, Juan Zhao, (unknown), Ronghua Jin	6
7	Ultrasensitive single-step CRISPR detection of monkeypox virus in minutes with a vest-pocket diagnostic device breakdown → 2024 ·Nature Communications ·Yunxiang Wang, Hong Chen, Kai Lin, (unknown), (unknown), (unknown), (unknown), Dongfeng Wang, Liyan Liu, Ronghua Jin, Rui Song, Zhen Rong, Shengqi Wang	57
8	Research on gut microbiota characteristics of PBC patients at different ALBI grades based on machine learning 2024 ·Frontiers in Microbiology ·(unknown), (unknown), Bin Xu, Yanmin Liu, Juan Zhao, Yang Xue, (unknown), Ronghua Jin	3
9	A field diagnostic method for rapid and sensitive detection of mpox virus 2024 ·Journal of Medical Virology ·Fei Zhao, (unknown), Xinming Wang, Rui Song, (unknown), Wei Liang, Yu Xie, Yu Huang, Shan Mei, Liming Wang, (unknown), Zhao Gao, Li Guo, Jugao Fang, Lili Ren, Ronghua Jin, Jianwei Wang, Fei Guo	8
10	Post-exposure prophylaxis with SA58 (anti-SARS-COV-2 monoclonal antibody) nasal spray for the prevention of symptomatic COVID-19 in healthy adult workers: a randomized, single-blind, placebo-controlled clinical study 2023 ·Emerging Microbes & Infections ·Rui Song, Gang Zeng, Jianxing Yu, (unknown), Xiaoyou Chen, Jing Li, Xiaoliang Sunney Xie, Xiaojuan Lian, Zhiyun Zhang, Yunlong Cao, Weidong Yin, Ronghua Jin	12
11	Protective effect of plasma neutralization from prior SARS-CoV-2 Omicron infection against BA.5 subvariant symptomatic reinfection 2023 ·The Lancet Regional Health - Western Pacific ·Xiaosu Chen, Yanli Xu, Yan Xie, Weiliang Song, Ye Hu, Ayijiang Yisimayi, Sijie Yang, Fei Shao, Geng Li, Ying Wang, Hongmei Gao, Yansong Shi, (unknown), Ronghua Jin, Zhongyang Shen, Yunlong Cao	11
12	Comparing sputum microbiota characteristics between severe and critically ill influenza patients 2023 ·Frontiers in Cellular and Infection Microbiology ·(unknown), Yuanyuan Zhang, Xue Zhao, Tingting Liu, (unknown), Rui Song, Ronghua Jin	1
13	[Development of auxiliary early predicting model for human brucellosis using machine learning algorithm]. 2023 ·PubMed ·Wei Wang, Rui Zhou, Chen Chen, Xue Feng, Wengang Zhang, (unknown), Ronghua Jin	1
14	Assessing airborne transmission risks in COVID-19 hospitals by systematically monitoring SARS-CoV-2 in the air 2023 ·Microbiology Spectrum ·Shanglin Li, Jiazhen Guo, Yin Gu, Yan Meng, Ming He, (unknown), (unknown), Guanjun Wang, (unknown), Ronghua Jin, Lianhe Lu, Peng Liu	1
15	Impact of multicenter unified enhanced environmental cleaning and disinfection measures on nosocomial infections among patients in intensive care units 2020 ·Journal of International Medical Research ·Jing Huang, Can Cui, (unknown), Ming Chen, Hao Wu, Ronghua Jin, (unknown)	9

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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