Hao-Rui Si

1.3k total citations
9 papers, 82 citations indexed

About

Hao-Rui Si is a scholar working on Infectious Diseases, Ecology and Animal Science and Zoology. According to data from OpenAlex, Hao-Rui Si has authored 9 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 3 papers in Ecology and 3 papers in Animal Science and Zoology. Recurrent topics in Hao-Rui Si's work include SARS-CoV-2 and COVID-19 Research (8 papers), Bacteriophages and microbial interactions (3 papers) and COVID-19 Clinical Research Studies (3 papers). Hao-Rui Si is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), Bacteriophages and microbial interactions (3 papers) and COVID-19 Clinical Research Studies (3 papers). Hao-Rui Si collaborates with scholars based in China, United States and India. Hao-Rui Si's co-authors include Zheng‐Li Shi, Ben Hu, Bei Li, Hua Guo, Yan Zhu, Wei Zhang, Haofeng Lin, Ang Li, Xing‐Lou Yang and Peng Zhou and has published in prestigious journals such as Journal of Virology, Briefings in Bioinformatics and Nature Machine Intelligence.

In The Last Decade

Hao-Rui Si

9 papers receiving 82 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hao-Rui Si China	6	65	37	12	7	7	9	82
Anders Frische Denmark	5	81 1.2×	29 0.8×	17 1.4×	8 1.1×	7 1.0×	6	92
Grace Tyson United Kingdom	5	146 2.2×	43 1.2×	26 2.2×	10 1.4×	11 1.6×	8	155
Josh Quick United Kingdom	4	63 1.0×	13 0.4×	23 1.9×	8 1.1×	7 1.0×	5	84
Emelissa J. Valcourt Canada	2	83 1.3×	13 0.4×	14 1.2×	11 1.6×	6 0.9×	2	130
Nico Joël Halwe Germany	5	74 1.1×	19 0.5×	18 1.5×	9 1.3×	2 0.3×	10	84
Elizabeth Kepl United States	3	50 0.8×	27 0.7×	14 1.2×	5 0.7×	10 1.4×	3	64
Reinier Suarez United States	2	83 1.3×	23 0.6×	20 1.7×	9 1.3×	17 2.4×	3	97
Marc R. Isabel Canada	4	121 1.9×	26 0.7×	35 2.9×	16 2.3×	6 0.9×	5	139
Tatyana V. Vishnevskaya Russia	4	55 0.8×	39 1.1×	5 0.4×	18 2.6×	10 1.4×	8	79
Anastasija Čupić United States	4	82 1.3×	31 0.8×	22 1.8×	22 3.1×	9 1.3×	9	103

Countries citing papers authored by Hao-Rui Si

Since Specialization

Citations

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

Fields of papers citing papers by Hao-Rui Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao-Rui Si. 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 Hao-Rui Si. The network helps show where Hao-Rui Si may publish in the future.

Co-authorship network of co-authors of Hao-Rui Si

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Liu, Xudong, Hao-Rui Si, Yutian Liu, et al.. (2025). Generative prediction of real-world prevalent SARS-CoV-2 mutation with in silico virus evolution. Briefings in Bioinformatics. 26(3). 1 indexed citations

2.

Liu, Xudong, Jie Chen, Hao-Rui Si, et al.. (2025). A unified evolution-driven deep learning framework for virus variation driver prediction. Nature Machine Intelligence. 7(1). 131–144. 5 indexed citations

3.

Hu, Ben, Hua Guo, Hao-Rui Si, & Zheng‐Li Shi. (2024). Emergence of SARS and COVID-19 and preparedness for the next emerging disease X. Frontiers of Medicine. 18(1). 1–18. 5 indexed citations

4.

Li, Bei, Na Dong, Yan Zhu, et al.. (2023). Identification of a Novel Hepacivirus in Southeast Asian Shrew (Crocidura fuliginosa) from Yunnan Province, China. Pathogens. 12(12). 1400–1400. 3 indexed citations

5.

Zheng, Xiao-Shuang, Qi Wang, Hao-Rui Si, et al.. (2023). Assessment and sero-diagnosis for coronaviruses with risk of human spillover. Emerging Microbes & Infections. 12(2). 2225932–2225932. 5 indexed citations

6.

Guo, Hua, Ang Li, Hao-Rui Si, et al.. (2023). Isolation of ACE2-dependent and -independent sarbecoviruses from Chinese horseshoe bats. Journal of Virology. 97(9). e0039523–e0039523. 5 indexed citations

7.

Li, Yang, Hao-Rui Si, Yan Zhu, et al.. (2022). Characteristics of SARS-CoV-2 transmission in a medium-sized city with traditional communities during the early COVID-19 epidemic in China. Virologica Sinica. 37(2). 187–197. 5 indexed citations

8.

Guo, Hua, Ben Hu, Hao-Rui Si, et al.. (2021). Identification of a novel lineage bat SARS-related coronaviruses that use bat ACE2 receptor. Emerging Microbes & Infections. 10(1). 1507–1514. 42 indexed citations

9.

Chen, Ying, Meiqin Liu, Bei Li, et al.. (2020). Pathogenesis of SARS-CoV-2 in Transgenic Mice Expressing Human Angiotensin-Converting Enzyme 2. UNC Libraries. 11 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.

Explore authors with similar magnitude of impact