Hanjun Zhao

1.9k citations
31 papers · 1.0k indexed · 1 hit paper · h-index 15
Topics
Influenza Virus Research Studies (14 papers)Respiratory viral infections research (11 papers)SARS-CoV-2 and COVID-19 Research (8 papers)
Partner nations
Hong KongChinaJapan

In The Last Decade

Hanjun Zhao

29 papers receiving 1.0k citations

Hit Papers

SARS-CoV-2 Omicron variant shows less efficient replicati...2021202620222024202150100150200250

Peers

Hanjun Zhao
Comparison fields: 5 of 91
  • Infectious Diseases 457
  • Molecular Biology 406
  • Epidemiology 311
  • Immunology 171
  • Microbiology 122
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 of co-authors of Hanjun Zhao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 5
6 14
7 2
8 9
9 2
10 10
11 49
12 26
13 93
14 38
15 14
16 132
17 21
18 40
19 126
20 13

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) and SARS-CoV-2 and COVID-19 Research (8 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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