Zhenqiang Bi

3.1k citations
67 papers · 2.0k indexed · h-index 22
Topics
Influenza Virus Research Studies (13 papers)Respiratory viral infections research (13 papers)Viral Infections and Vectors (10 papers)

In The Last Decade

Zhenqiang Bi

66 papers receiving 1.9k citations

Peers

Zhenqiang Bi
Comparison fields: 5 of 115
  • Infectious Diseases 1.1k
  • Epidemiology 513
  • Ecology, Evolution, Behavior and Systematics 356
  • Global and Planetary Change 352
  • Immunology 296
Replace Ki‐Joon Song with:
Ki‐Joon Song South Korea
J. Simon Kroll United Kingdom
Alessandra Lo Presti Italy
Nicholas W. Griffin United States
Jon Bohlin Norway
Charlie G. Buffie United States
Sarah Gabriël Belgium
Stefan Brockmann Germany
Komal Jain United States
Firoz Ahmed Bangladesh
Zhenqiang Bi relative to Ki‐Joon Song South Korea Ki‐Joon Song's profile →
Citations per field
00.5×
Ki‐Joon Song · 1×
Citations per year

Countries citing papers authored by Zhenqiang Bi

Since Specialization
Citations

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

Fields of papers citing papers by Zhenqiang Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenqiang Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenqiang Bi. A scholar is included among the top collaborators of Zhenqiang Bi 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 Zhenqiang Bi. Zhenqiang Bi 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 2
3 1
4 8
5 9
6 19
7 17
8
[Status of acute upper respiratory infection, influenza-like illness, and influenza vaccination coverage among community residents in Jinan].
1
9 67
10 28
11 91
12 12
13
Serological survey of pandemic influenza A(H1N1) antibodies among healthy individuals in Shandong Province in 2010
1
14 19
15 3
16 36
17 38
18 33
19
[Development of TaqMan real-time PCR in detection of Aeromonas hydrophila].
2
20
Establishment of Vibrio parahaemolyticus detection by duplex TaqMan real-time PCR assay.
1

About Zhenqiang Bi

Zhenqiang Bi is a scholar working on Endocrinology, Infectious Diseases and Molecular Medicine, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (13 papers) and Viral Infections and Vectors (10 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Molecular Medicine (107 citations) and Endocrinology (104 citations). Zhenqiang Bi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Carol Shoshkes Reiss, Pierre Formenty, Cathy Roth, Takashi Komatsu, Maria Barna, Mifang Liang, Xiaolin Jiang, Dexin Li, Xianjun Wang and Quanfu Zhang. Their work appears in journals such as Nature Communications, The Journal of Immunology 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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