Hanjun Zhao

1.9k citations
31 papers · 1.0k indexed · 1 hit paper · h-index 15
    • SARS-CoV-2 and COVID-19 Research 8
    • SARS-CoV-2 detection and testing 3
    • Antimicrobial Peptides and Activities 3
  • Epidemiology top 10%
    • Influenza Virus Research Studies 14
    • Respiratory viral infections research 11
    • interferon and immune responses 4
    • Immune Response and Inflammation 4
  • Cell Biology top 10%
    • Virus-based gene therapy research 3

Hanjun Zhao

29 papers receiving 1.0k citations

Hit Papers

SARS-CoV-2 Omicron variant shows less efficient replicati...257202120262022202450100150200250

Peers

Hanjun Zhao
Comparison fields: 5 of 91
  • Infectious Diseases 457
  • Microbiology 122
  • Epidemiology 311
  • Immunology 171
  • Cell Biology 120
Replace Kornelia Hardes with:
Kornelia Hardes Germany
Brigitte Heller United States
Kati Hokynar Finland
Takeshi Matsuzawa Japan
John Mario González Colombia
Chi Wai Yip Hong Kong
Adam D. Kenney United States
Guangli Wang China
Edwige Bouguyon France
Youliang Rao China
Hanjun Zhao relative to Kornelia Hardes Germany Kornelia Hardes's profile →
Citations per field
00.5×1.5×2.4×
Kornelia Hardes · 1×
Citations per year

Countries citing papers authored by Hanjun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hanjun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hanjun Zhao, 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 Hanjun Zhao Line = papers co-authored together Hanjun Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20251
4 20245
5 20225
6 202214
7 20222
8 20229
9 20222
10 202110
11 202149
12 202026
13 202093
14 201838
15 201614
16 2016132
17 201621
18 201540
19 2007126
20 200713

About Hanjun Zhao

Hanjun Zhao is a scholar working on Epidemiology, Microbiology and Infectious Diseases, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), interferon and immune responses (4 papers), Immune Response and Inflammation (4 papers), Virus-based gene therapy research (3 papers), Antimicrobial Peptides and Activities (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Infectious Diseases (457 citations), Microbiology (122 citations) and Epidemiology (311 citations). Hanjun Zhao has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Kwok‐Yung Yuen, Kelvin Kai‐Wang To, Hin Chu, Jie Zhou, Dong‐Yan Jin, Peng Zheng, Jonathan Daniel Ip, Wan-Mui Chan, Kwok‐Hung Chan and Honglin Chen. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of the American College of Cardiology.

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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