Jiangqin Zhao

1.9k citations
54 papers · 1.4k indexed · 1 hit paper · h-index 23
Topics
HIV Research and Treatment (24 papers)HIV/AIDS drug development and treatment (16 papers)Influenza Virus Research Studies (13 papers)

In The Last Decade

Jiangqin Zhao

52 papers receiving 1.4k citations

Hit Papers

Current Approaches for Diagnosis of Influenza Virus Infec...2016202620192022201650100150200

Peers

Jiangqin Zhao
Comparison fields: 5 of 101
  • Molecular Biology 630
  • Epidemiology 433
  • Infectious Diseases 413
  • Virology 292
  • Biomedical Engineering 231
Replace Klara Abravaya with:
Klara Abravaya United States
Rinaldo Zurbriggen Switzerland
Toon Stegmann Netherlands
Ivana Knežević Switzerland
Adam C. Soloff United States
Michael A. Phelan United States
Matteo Porotto United States
Anthony P. Schmitt United States
Mark Manak United States
Benjamin Petsch Germany
Jiangqin Zhao relative to Klara Abravaya United States Klara Abravaya's profile →
Citations per field
00.5×3.9×
Klara Abravaya · 1×
Citations per year

Countries citing papers authored by Jiangqin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangqin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangqin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangqin Zhao. A scholar is included among the top collaborators of Jiangqin 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 Jiangqin Zhao. Jiangqin 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 5
2 9
3 23
4 44
5 7
6 11
7 13
8 19
9 4
10 11
11 17
12 25
13 28
14 64
15 29
16 28
17 82
18 22
19 41
20 66

About Jiangqin Zhao

Jiangqin Zhao is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (24 papers), HIV/AIDS drug development and treatment (16 papers) and Influenza Virus Research Studies (13 papers). The work is most often cited by research in Virology (292 citations), Infectious Diseases (413 citations) and Epidemiology (433 citations). Jiangqin Zhao has collaborated with scholars based in United States, United Kingdom and Cameroon. Frequent co-authors include Indira Hewlett, Xue Wang, Jikun Liu, Sai Vikram Vemula, Santanu Biswas, Shixing Tang, W. Nicol Keith, Viswanath Ragupathy, Alan Bilsland and Zhiping Ye. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Oncogene.

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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