Liling Liu

86 papers receiving 4.5k citations

Liling Liu's Hit Papers

Global dissemination of H5N1 influenza viruses bearing the clade 2.3.4.4b HA gene and biologic analysis of the ones detected in China 2022 · 143 citations
1430+4+8Years since publication100200300

Peers

Liling Liu
Comparison fields: 5 of 97
  • Epidemiology 3.9k
  • Agronomy and Crop Science 126
  • Immunology 140
  • Animal Science and Zoology 46
  • Parasitology 29
Replace Guohua Deng with:
Guohua Deng China
Juan Pu China
Quanjiao Chen China
Hoorieh Soleimanjahi Iran
Tung Nguyen United States
Barbara Holzer Austria
Erich Hoffmann United States
Jack M. Gallup United States
Younho Choi United States
Yipeng Sun China
Liling Liu relative to Guohua Deng China Guohua Deng's profile →
Citations per field
00.5×2×3×3.6×
Guohua Deng · 1×
Citations per year

Countries citing papers authored by Liling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
H7N9 Influenza Viruses Are Transmissible in Ferrets by Respiratory Droplet
Hit paper breakdown →
2013388
2 2009377
3 2005306
4 2014244
5 2017227
6 2018224
7 2013210
8 2010172
9 2013148
10
Global dissemination of H5N1 influenza viruses bearing the clade 2.3.4.4b HA gene and biologic analysis of the ones detected in China
Hit paper breakdown →
2022143
11 2019117
12 202299
13 201498
14 202086
15 201380
16 201577
17 201975
18 202175
19 202175
20 201972

About Liling Liu

Liling Liu is a scholar working on Epidemiology, Ophthalmology, Parasitology, Immunology and Agronomy and Crop Science, having authored 89 papers that have together received 4.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (60 papers), Glaucoma and retinal disorders (3 papers), Plant Stress Responses and Tolerance (2 papers), Vector-borne infectious diseases (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Epidemiology (3.9k citations), Agronomy and Crop Science (126 citations), Immunology (140 citations), Animal Science and Zoology (46 citations) and Parasitology (29 citations). Liling Liu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hualan Chen, Guobin Tian, Jianzhong Shi, Guohua Deng, Chengjun Li, Yongping Jiang, Yuntao Guan, Xianying Zeng, Yanbing Li and Zhigao Bu. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, PLoS Pathogens, Science China Life Sciences and Transboundary and Emerging Diseases.

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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