Huakun Lv

1.2k total citations
61 papers, 782 citations indexed

About

Huakun Lv is a scholar working on Infectious Diseases, Epidemiology and Health. According to data from OpenAlex, Huakun Lv has authored 61 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 29 papers in Epidemiology and 13 papers in Health. Recurrent topics in Huakun Lv's work include Influenza Virus Research Studies (15 papers), Vaccine Coverage and Hesitancy (13 papers) and Viral gastroenteritis research and epidemiology (12 papers). Huakun Lv is often cited by papers focused on Influenza Virus Research Studies (15 papers), Vaccine Coverage and Hesitancy (13 papers) and Viral gastroenteritis research and epidemiology (12 papers). Huakun Lv collaborates with scholars based in China, United States and Taiwan. Huakun Lv's co-authors include Jimin Sun, Chengliang Chai, Shelan Liu, Junfen Lin, Said Amer, Chengmin Wang, Hongxuan He, Jianmin Jiang, Zhenyu Gong and Enfu Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Huakun Lv

56 papers receiving 764 citations

Peers

Huakun Lv
Comparison fields: 5 of 78
  • Infectious Diseases 555
  • Epidemiology 229
  • Ecology, Evolution, Behavior and Systematics 150
  • Public Health, Environmental and Occupational Health 121
  • Global and Planetary Change 118
Replace Gülay Korukluoğlu with:
Gülay Korukluoğlu Türkiye
N. K. Blackburn South Africa
Kirsti Vainio Norway
Soa Fy Andriamandimby Madagascar
Silvia Bino Albania
Tomoe Shimada Japan
Terry G. Besselaar South Africa
Mehmet Ali Torunoğlu Türkiye
Veerle Msimang South Africa
Syed Sohail Zahoor Zaidi Pakistan
Gülay Korukluoğlu Türkiye View profile →
Citations per field, relative to Huakun Lv
Huakun Lv · 1×
Citations per year, relative to Huakun Lv
Huakun Lv · 1×

Countries citing papers authored by Huakun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Huakun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huakun Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Huakun Lv. A scholar is included among the top collaborators of Huakun Lv 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 Huakun Lv. Huakun Lv 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
# Work Indexed citations
1 0
2 0
3 0
4 6
5 9
6 8
7 5
8 10
9 17
10 16
11 2
12 24
13 19
14 21
15 11
16 25
17 24
18 18
19 4
20 11

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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