Nannan Zhou

4.1k citations
85 papers · 3.0k indexed · 1 hit paper · h-index 28
Topics
HIV/AIDS drug development and treatment (22 papers)Hepatitis C virus research (18 papers)HIV Research and Treatment (12 papers)

In The Last Decade

Nannan Zhou

79 papers receiving 2.9k citations

Hit Papers

The Surface Glycoproteins of H5 Influenza Viruses Isolate...19992026200820171999100200300400500

Peers

Nannan Zhou
Comparison fields: 5 of 138
  • Infectious Diseases 1.2k
  • Epidemiology 1.1k
  • Virology 680
  • Molecular Biology 614
  • Agronomy and Crop Science 489
Replace Sergio Altamura with:
Sergio Altamura Italy
Daniel Lamarre Canada
Mikako Fujita Japan
Lawrence M. Blatt United States
Kevin D. Raney United States
John E. Reardon United States
Tamio Fujiwara Japan
Takeki Uehara Japan
Giuseppe Palladino Italy
Nannan Zhou relative to Sergio Altamura Italy Sergio Altamura's profile →
Citations per field
00.5×10×15×18.8×
Sergio Altamura · 1×
Citations per year

Countries citing papers authored by Nannan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Nannan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nannan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Nannan Zhou. A scholar is included among the top collaborators of Nannan Zhou 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 Nannan Zhou. Nannan Zhou 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 3
2 3
3 3
4 0
5 10
6 28
7 29
8 13
9 32
10 7
11 11
12 266
13 7
14 22
15 41
16 98
17 54
18
Theoretical Study the Error Caused by Dipole Hypothesis of Large-loop TEM Response
2
19 285
20 174

About Nannan Zhou

Nannan Zhou is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (22 papers), Hepatitis C virus research (18 papers) and HIV Research and Treatment (12 papers). The work is most often cited by research in Virology (680 citations), Infectious Diseases (1.2k citations) and Hepatology (483 citations). Nannan Zhou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Robert G. Webster, Yoshihiro Kawaoka, Mikhail Matrosovich, Fiona McPhee, Dennis Hernandez, Xiaomin Luo, Mingyue Zheng, Hualiang Jiang, Kaixian Chen and Yuan Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

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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