Ruobing Han

586 total citations · 1 hit paper
19 papers, 378 citations indexed

About

Ruobing Han is a scholar working on Epidemiology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Ruobing Han has authored 19 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Modeling and Simulation and 3 papers in Molecular Biology. Recurrent topics in Ruobing Han's work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Ruobing Han is often cited by papers focused on COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Ruobing Han collaborates with scholars based in China, United States and Singapore. Ruobing Han's co-authors include Benjamin Kye Jyn Tan, Rakesh K. Chandra, Rongwu Xiang, Jingyu Yang, Nikita Chapurin, Tze Choong Charn, Christopher S. von Bartheld, Mingyi Zhao, Neville Wei Yang Teo and Nicole Kye Wen Tan and has published in prestigious journals such as The Lancet, BMJ and Journal of Chromatography A.

In The Last Decade

Ruobing Han

17 papers receiving 374 citations

Hit Papers

Prognosis and persistence of smell and taste dysfunction ... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Prognosis and persistence of smell and taste dysfunction in patients with covid-19: meta-analysis with parametric cure modelling of recovery curves
    2022 136 citations Benjamin Kye Jyn Tan, Ruobing Han et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruobing Han China 8 97 91 80 78 50 19 378
Abhinav Vepa United Kingdom 7 22 0.2× 39 0.4× 8 0.1× 23 0.3× 39 0.8× 9 439
Ling Zha Japan 14 8 0.1× 37 0.4× 55 0.7× 35 0.4× 18 0.4× 82 632
Marwa Kamal Egypt 8 8 0.1× 164 1.8× 9 0.1× 270 3.5× 7 0.1× 23 505
Jingyi Wu China 10 5 0.1× 90 1.0× 28 0.3× 53 0.7× 5 0.1× 31 319
Wagner Rodrigues de Assis Soares Brazil 4 8 0.1× 134 1.5× 6 0.1× 188 2.4× 7 0.1× 6 287
Naiane Oliveira Santos Brazil 3 8 0.1× 134 1.5× 6 0.1× 188 2.4× 5 0.1× 7 274
Alexander Moshensky United States 14 21 0.2× 28 0.3× 21 0.3× 13 0.2× 2 0.0× 20 812
V M Oh Singapore 11 22 0.2× 35 0.4× 3 0.0× 15 0.2× 19 0.4× 26 460
Truong Hong Hieu Vietnam 9 18 0.2× 29 0.3× 13 0.2× 11 0.1× 3 0.1× 38 287
Francesca Ciciarello Italy 10 3 0.0× 73 0.8× 6 0.1× 160 2.1× 11 0.2× 21 297

Countries citing papers authored by Ruobing Han

Since Specialization
Citations

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

Fields of papers citing papers by Ruobing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruobing Han

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

All Works

19 of 19 papers shown
1.
Xie, Yang, et al.. (2025). Dihydrochelerythrine Induced Ferroptosis via Glutathione Peroxidase 4 Downregulation in Prostate Cancer Cells. Chemistry & Biodiversity. 22(11). e00968–e00968.
2.
Lu, Yi, et al.. (2025). SNR enhancement for Raman distributed temperature sensors using intrinsic modal functions with improved adaptive wavelet threshold denoising. Optics and Lasers in Engineering. 189. 108949–108949. 2 indexed citations
3.
Wang, Jingshan, et al.. (2025). Multi-scale habitat selection and constraints of a small Asian elephant population in Yunnan Nangunhe National Nature Reserve, China. Global Ecology and Conservation. 60. e03616–e03616.
4.
Tan, Benjamin Kye Jyn, Ruobing Han, Joseph J. Zhao, et al.. (2022). Prognosis and persistence of smell and taste dysfunction in patients with covid-19: meta-analysis with parametric cure modelling of recovery curves. BMJ. 378. e069503–e069503. 136 indexed citations breakdown →
5.
Han, Ruobing, et al.. (2022). Genetic Diversity Analysis of the Only White-Red Deer Population in China. Pakistan Journal of Zoology. 55(4). 1 indexed citations
6.
Teo, Yao Hao, Ruobing Han, Yao Neng Teo, et al.. (2021). Prevalence, types and treatment of bradycardia in obstructive sleep apnea - A systematic review and meta-analysis. Sleep Medicine. 89. 104–113. 13 indexed citations
7.
Yang, Zheng, Huanyu Wu, Hào Pān, et al.. (2020). Pre‐symptomatic transmission of novel coronavirus in community settings. Influenza and Other Respiratory Viruses. 14(6). 610–614. 13 indexed citations
8.
Fang, Qiwen, Wenjia Xiao, Xijie Yu, et al.. (2020). [Epidemiological characteristics and measures of prevention and control of imported COVID-19 cases in early phase in Shanghai].. PubMed. 41(12). 2034–2039. 5 indexed citations
9.
Lin, Sheng, Hào Pān, Huanyu Wu, et al.. (2020). Epidemiological and clinical characteristics of 161 discharged cases with coronavirus disease 2019 in Shanghai, China. BMC Infectious Diseases. 20(1). 780–780. 6 indexed citations
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Yu, Xiao, Xiaodong Sun, Peng Cui, et al.. (2020). Epidemiological and clinical characteristics of 333 confirmed cases with coronavirus disease 2019 in Shanghai, China. Transboundary and Emerging Diseases. 67(4). 1697–1707. 59 indexed citations
12.
Kong, David C. M., et al.. (2020). [Analysis of adenovirus infection in acute respiratory tract infection cases in Shanghai from 2015 to 2019].. PubMed. 41(5). 733–737. 5 indexed citations
13.
Xiao, Wenjia, Qing Gao, Kairui Jin, et al.. (2020). [Investigation of an epidemic cluster caused by COVID⁃19 cases in incubation period in Shanghai].. PubMed. 41(0). E033–E033. 4 indexed citations
14.
Han, Ruobing, et al.. (2019). DNA methylation and mRNA expression of COL6A3 in antler mesenchyme of female and male reindeer. Genes & Genomics. 41(9). 1007–1013. 3 indexed citations
15.
Xiang, Rongwu, Ruobing Han, Jingyu Yang, et al.. (2019). Comparative efficacy and safety of multiple antiplatelet therapies for secondary prevention of ischemic stroke or transient ischemic attack: A network meta-analysis. Journal of the Neurological Sciences. 399. 199–206. 6 indexed citations
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Wang, Qingqing, et al.. (2015). Effects of bisphenol A on antioxidant system in soybean seedling roots. Environmental Toxicology and Chemistry. 34(5). 1127–1133. 36 indexed citations
19.

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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