Hong Kong Science and Technology Parks Corporation

27.8k citations
1.7k papers ·

Impact in

Papers in

Hong Kong Science and Technology Parks Corporation

1.4k papers receiving 24.7k citations

Peers

Hong Kong Science and Technology Parks Corporation
Comparison fields: 5 of 232
  • Infectious Diseases 4.0k
  • Modeling and Simulation 758
  • Computer Science Applications 682
  • Condensed Matter Physics 1.2k
  • Biomedical Engineering 4.1k
Replace South China Institute of Collaborative Innovation with:
South China Institute of Collaborative Innovation China
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Guangzhou Experimental Station China
Zhuhai People's Hospital China
Shaoguan University China
Tajen University Taiwan
TCL (China) China
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Citations per field
00.5×10×16.1×
South China Institute of Collaborative Innovation · 1×
Citations per year

Countries citing scholars working at Hong Kong Science and Technology Parks Corporation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Hong Kong Science and Technology Parks Corporation. 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 papers produced at Hong Kong Science and Technology Parks Corporation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Kong Science and Technology Parks Corporation more than expected).

Fields of papers published by authors at Hong Kong Science and Technology Parks Corporation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Hong Kong Science and Technology Parks Corporation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Hong Kong Science and Technology Parks Corporation at the time of their publication.

About Hong Kong Science and Technology Parks Corporation

In recent decades, authors affiliated with Hong Kong Science and Technology Parks Corporation have published 1.7k papers, which have received a total of 27.8k indexed citations . Scholars at this organization have produced 71 papers in Modeling and Simulation, 225 papers in Infectious Diseases, 7 papers in Computational Mathematics, 11 papers in Aging and 44 papers in Health on the topics of SARS-CoV-2 and COVID-19 Research (166 papers), COVID-19 epidemiological studies (70 papers), Influenza Virus Research Studies (65 papers), COVID-19 Clinical Research Studies (60 papers), Advanced Sensor and Energy Harvesting Materials (48 papers), Respiratory viral infections research (44 papers), Vaccine Coverage and Hesitancy (39 papers) and Single-cell and spatial transcriptomics (34 papers). Their work is cited by papers focused on Infectious Diseases (4.0k citations), Modeling and Simulation (758 citations), Computer Science Applications (682 citations), Condensed Matter Physics (1.2k citations) and Biomedical Engineering (4.1k citations). Authors at Hong Kong Science and Technology Parks Corporation collaborate with scholars in Hong Kong, China and United Kingdom and have published in prestigious journals including Nature Communications, Advanced Science, Scientific Reports, The Journal of Infectious Diseases and Science Advances. Some of Hong Kong Science and Technology Parks Corporation's most productive authors include Alex Zhavoronkov, Benjamin J. Cowling, Li Zhang, Eric H. Y. Lau, GM Leung, Ian Chi Kei Wong, Carlos King Ho Wong, Stefano Passerini, Henry Adenusi and Esther W. Chan.

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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