Bing Ruan

6.8k total citations · 2 hit papers
114 papers, 4.5k citations indexed

About

Bing Ruan is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Bing Ruan has authored 114 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Epidemiology, 40 papers in Hepatology and 21 papers in Infectious Diseases. Recurrent topics in Bing Ruan's work include Hepatitis B Virus Studies (37 papers), Hepatitis C virus research (32 papers) and Liver Disease Diagnosis and Treatment (20 papers). Bing Ruan is often cited by papers focused on Hepatitis B Virus Studies (37 papers), Hepatitis C virus research (32 papers) and Liver Disease Diagnosis and Treatment (20 papers). Bing Ruan collaborates with scholars based in China, United States and Madagascar. Bing Ruan's co-authors include Hai‐yin Jiang, Lanjuan Li, Jianfei Shi, Weihong Wang, Wenxin Tang, Zhanping Ma, Yonghua Zhang, Yan Yin, Zhonglin Tan and Min Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Bing Ruan

105 papers receiving 4.4k citations

Hit Papers

Altered fecal microbiota composition in patients with maj... 2015 2026 2018 2022 2015 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Ruan China 28 2.1k 1.2k 1.0k 871 704 114 4.5k
Jonathan P. Jacobs United States 36 2.2k 1.0× 271 0.2× 644 0.6× 906 1.0× 150 0.2× 149 4.3k
Steve Wesselingh Australia 56 3.4k 1.6× 900 0.7× 2.0k 1.9× 1.7k 2.0× 123 0.2× 262 11.8k
Jorge Monserrat Spain 33 832 0.4× 282 0.2× 905 0.9× 409 0.5× 557 0.8× 107 3.5k
Hai‐yin Jiang China 18 1.9k 0.9× 1.2k 1.0× 249 0.2× 797 0.9× 56 0.1× 58 3.2k
Ettje F. Tigchelaar Netherlands 14 2.3k 1.1× 584 0.5× 361 0.3× 1.0k 1.2× 54 0.1× 15 3.7k
Patricia E. Molina United States 37 2.0k 0.9× 226 0.2× 1.4k 1.4× 828 1.0× 119 0.2× 250 7.8k
David Furman United States 26 1.9k 0.9× 368 0.3× 1.4k 1.4× 874 1.0× 81 0.1× 53 7.0k
Beatrix Grubeck‐Loebenstein Austria 52 1.5k 0.7× 386 0.3× 2.8k 2.6× 1.1k 1.3× 189 0.3× 164 9.6k
Alexander Kurilshikov Netherlands 31 5.2k 2.5× 920 0.7× 728 0.7× 2.2k 2.5× 36 0.1× 71 7.5k
Thomas A. Lutz Switzerland 57 2.3k 1.1× 103 0.1× 1.8k 1.7× 4.5k 5.2× 934 1.3× 421 12.8k

Countries citing papers authored by Bing Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Ruan. A scholar is included among the top collaborators of Bing Ruan 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 Bing Ruan. Bing Ruan 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.
Xu, Yunfei, et al.. (2025). A 2D robust microporous Cu-MOF for efficient separations for C2H2/CO2/CH4 mixtures. Journal of Molecular Structure. 1349. 143944–143944.
2.
Zeng, Yifan, Tao Yu, Shuwen Jiang, et al.. (2024). Prognostic and immune predictive roles of a novel tricarboxylic acid cycle-based model in hepatocellular carcinoma. Scientific Reports. 14(1). 2333–2333. 4 indexed citations
3.
Zeng, Yifan, Shuwen Jiang, Lin Chen, et al.. (2024). Clinical Significance of a Novel Vasculogenic Mimicry-based Prognostic Model in Hepatocellular Carcinoma. Current Medicinal Chemistry. 32(19). 3926–3940. 2 indexed citations
4.
Xu, Xiaolan, et al.. (2023). Changing incidence of hepatitis B and persistent infection risk in adults: a population-based follow-up study from 2011 in China. BMC Public Health. 23(1). 256–256. 5 indexed citations
5.
Chen, Lin, Nan Wang, Liya Pan, et al.. (2023). Age and Serum Creatinine Can Differentiate Wilson Disease Patients with Pseudonormal Ceruloplasmin. International Journal of Clinical Practice. 2023. 1–10.
6.
Chen, Lin, Liya Pan, Yifan Zeng, et al.. (2022). Use of the bibliometric in rare diseases: taking Wilson disease personally. Orphanet Journal of Rare Diseases. 17(1). 297–297. 3 indexed citations
7.
Xu, Xiaolan, et al.. (2021). The role of fibrosis index FIB-4 in predicting liver fibrosis stage and clinical prognosis: A diagnostic or screening tool?. Journal of the Formosan Medical Association. 121(2). 454–466. 40 indexed citations
8.
9.
Xu, Xiaolan, Lushun Jiang, Liya Pan, et al.. (2021). Cost-Effectiveness of Hepatitis B Mass Screening and Management in High-Prevalent Rural China: A Model Study From 2020 to 2049. International Journal of Health Policy and Management. 11(10). 2115–2123. 5 indexed citations
10.
Jiang, Hai‐yin, et al.. (2020). Altered gut bacterial–fungal interkingdom networks in patients with current depressive episode. Brain and Behavior. 10(8). e01677–e01677. 38 indexed citations
11.
Li, Yuchuan, et al.. (2020). Both Gut Microbiota and Differentially Expressed Proteins Are Relevant to the Development of Obesity. BioMed Research International. 2020(1). 5376108–5376108. 12 indexed citations
12.
Yu, Zhixin, Min Deng, Yi Chen, et al.. (2019). A system dynamics modelling simulation based on a cohort of hepatitis B epidemic research in east China community. Epidemiology and Infection. 147. e86–e86. 4 indexed citations
13.
Ruan, Bing, et al.. (2019). Magma Mixing of the Eocene Quxu Batholith from the Gangdese Magmatic Belt, South Tibet: Evidence from Cathodoluminescence Characteristics and Composition Changes of Plagioclase. 44(6). 1834–1848. 7 indexed citations
14.
Jiang, Hai‐yin, Lian-Lian Xu, Xue Zhang, Zhe Zhang, & Bing Ruan. (2018). The microbiome in bipolar depression: A longitudinal study of one pair of monozygotic twins. Bipolar Disorders. 21(1). 93–97. 15 indexed citations
15.
Jiang, Hai‐yin, Xue Zhang, Zhenghe Yu, et al.. (2018). Altered gut microbiota profile in patients with generalized anxiety disorder. Journal of Psychiatric Research. 104. 130–136. 277 indexed citations
16.
Chen, Peng, Jinyu Zhu, Tianhui Chen, et al.. (2017). [Clinical value of health-related quality of life evaluation in community patients with hepatitis B].. PubMed. 25(4). 313–316. 1 indexed citations
17.
Yao, Jun, Jing Li, Zhenggang Jiang, et al.. (2015). Suitable hepatitis B vaccine for adult immunization in China. Immunologic Research. 64(1). 242–250. 5 indexed citations
18.
Jiang, Hai‐yin, Yonghua Zhang, Zhanping Ma, et al.. (2015). Altered fecal microbiota composition in patients with major depressive disorder. Brain Behavior and Immunity. 48. 186–194. 1685 indexed citations breakdown →
19.
Ruan, Bing. (2010). Encoding of Route Planning Based on Genetic Algorithm. Electronics Optics & Control. 1 indexed citations
20.
Ruan, Bing, Shuying Wang, Yong Chen, et al.. (2003). Cloning and expression of cDNAs from hepatitis E virus structural gene.. PubMed. 2(3). 387–90. 4 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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