Suhua He

1.3k citations
14 papers · 748 indexed · 1 hit paper · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 Clinical Research Studies (4 papers)SARS-CoV-2 detection and testing (3 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Suhua He

12 papers receiving 736 citations

Hit Papers

Crystal structure of SARS-CoV-2 nucleocapsid protein RNA ...20202026202220242020100200300400

Peers

Suhua He
Comparison fields: 5 of 79
  • Infectious Diseases 548
  • Molecular Biology 288
  • Computational Theory and Mathematics 91
  • Immunology 91
  • Ecology 82
Replace Sisi Kang with:
Sisi Kang China
Zhechong Zhou China
Ziliang Zhou China
Tiffany Tang United States
Miya K. Bidon United States
Longfei Ding China
Cornelius Rohde Germany
Matthew Hackbart United States
Ting Shu China
Simon J. L. Petitjean Belgium
Suhua He relative to Sisi Kang China Sisi Kang's profile →
Citations per field
00.5×1.5×
Sisi Kang · 1×
Citations per year

Countries citing papers authored by Suhua He

Since Specialization
Citations

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

Fields of papers citing papers by Suhua He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhua He

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 51
5 59
6 12
7 83
8 18
9
Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sitesbreakdown →
449
10 1
11 38
12 19
13 10
14 5

About Suhua He

Suhua He is a scholar working on Infectious Diseases, Condensed Matter Physics and Complementary and alternative medicine, having authored 14 papers that have together received 748 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Infectious Diseases (548 citations), Animal Science and Zoology (77 citations) and Computational Theory and Mathematics (91 citations). Suhua He has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shoudeng Chen, Zhaoxia Huang, Ziliang Zhou, Zhechong Zhou, Qiuyue Chen, Xiaoxue Chen, Sisi Kang, Mei Yang, Zhongsi Hong and Hong Shan. Their work appears in journals such as Nature Communications, Frontiers in Immunology and Biosensors and Bioelectronics.

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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