Hao-Rui Si

1.4k citations
9 papers · 86 · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • Animal Virus Infections Studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 3
    • Bacteriophages and microbial interactions 3

Hao-Rui Si

9 papers receiving 86 citations

Peers

Hao-Rui Si
Comparison fields: 5 of 27
  • Infectious Diseases 63
  • Animal Science and Zoology 35
  • Modeling and Simulation 4
  • Virology 2
  • Parasitology 2
Replace Tatyana V. Vishnevskaya with:
Tatyana V. Vishnevskaya Russia
Joseph Chappell United Kingdom
Nico Joël Halwe Germany
Stephanie Zec United States
Marc R. Isabel Canada
Mitchell D. Ramuta United States
Grégory Quéromès France
Anders Frische Denmark
Anastasija Čupić United States
Robert Vendramelli Canada
Hao-Rui Si relative to Tatyana V. Vishnevskaya Russia Tatyana V. Vishnevskaya's profile →
Citations per field
00.5×
Tatyana V. Vishnevskaya · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hao-Rui Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hao-Rui Si Line = papers co-authored together Hao-Rui Si links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202142
2 202011
3 20257
4 20246
5 20225
6 20235
7 20235
8 20233
9 20252

About Hao-Rui Si

Hao-Rui Si is a scholar working on Infectious Diseases, Ecology, Animal Science and Zoology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 86 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Animal Virus Infections Studies (3 papers), Virology and Viral Diseases (2 papers), Zoonotic diseases and public health (1 paper), Mosquito-borne diseases and control (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (63 citations), Animal Science and Zoology (35 citations), Modeling and Simulation (4 citations), Virology (2 citations) and Parasitology (2 citations). Hao-Rui Si has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zheng‐Li Shi, Hua Guo, Ben Hu, Yan Zhu, Bei Li, Rong Geng, Peng Zhou, Wei Zhang, Xing‐Lou Yang and Ang Li. Their work appears in journals such as Emerging Microbes & Infections, Journal of Virology, Briefings in Bioinformatics, Pathogens and Nature Machine Intelligence.

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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