Hejiang Wei

1.3k citations
40 papers · 1.1k · 1 hit paper · h-index 15

Impact in

Papers in

Hejiang Wei

36 papers receiving 1.0k citations

Hejiang Wei's Hit Papers

Biological features of novel avian influenza A (H7N9) virus 2013 · 327 citations
3270+4+8Years since publication100200300

Peers

Hejiang Wei
Comparison fields: 5 of 66
  • Agronomy and Crop Science 363
  • Epidemiology 912
  • Infectious Diseases 426
  • Immunology 144
  • Modeling and Simulation 31
Replace Tian Gong with:
Tian Gong China
Akila Jayaraman United States
Irina N. Isakova-Sivak Russia
Joanna A. Pulit-Penaloza United States
Ling Meng China
Jefferson José da Silva Santos United States
TL Que Hong Kong
Jian-er Wo China
Han Di United States
Jon P. Seiler United States
Hejiang Wei relative to Tian Gong China Tian Gong's profile →
Citations per field
00.5×2×2.7×
Tian Gong · 1×
Citations per year

Countries citing papers authored by Hejiang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hejiang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biological features of novel avian influenza A (H7N9) virus
Hit paper breakdown →
2013327
2 2017105
3 201690
4 202257
5 201954
6 202250
7 201547
8 201344
9 201935
10 201829
11 202129
12 201927
13 201521
14 202019
15 202017
16 201914
17 201811
18 202311
19 201910
20 20199

About Hejiang Wei

Hejiang Wei is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Immunology and Modeling and Simulation, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (36 papers), Respiratory viral infections research (14 papers), Animal Disease Management and Epidemiology (11 papers), Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Outbreaks Research (3 papers), Immune Response and Inflammation (3 papers), Viral Infections and Vectors (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Agronomy and Crop Science (363 citations), Epidemiology (912 citations), Infectious Diseases (426 citations), Immunology (144 citations) and Modeling and Simulation (31 citations). Hejiang Wei has collaborated with scholars based in China, Taiwan and Mongolia. Frequent co-authors include Dayan Wang, Xiyan Li, Lei Yang, Yanhui Cheng, Yuelong Shu, Jia Liu, Wenfei Zhu, Jing Yan Tang, Ning Xiao and Jie Dong. Their work appears in journals such as Frontiers in Genetics, Infectious Diseases of Poverty, China CDC Weekly, Eurosurveillance and Influenza and Other Respiratory Viruses.

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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