Liting Qin

1.6k citations
70 papers · 1.3k · h-index 22

Impact in

    • Animal Virus Infections Studies
    • Herpesvirus Infections and Treatments
    • Virology and Viral Diseases
    • Cytomegalovirus and herpesvirus research

Papers in

Liting Qin

69 papers receiving 1.3k citations

Peers

Liting Qin
Comparison fields: 5 of 74
  • Animal Science and Zoology 250
  • Epidemiology 803
  • Immunology 278
  • Molecular Medicine 64
  • Microbiology 58
Replace Tsang Long Lin with:
Tsang Long Lin United States
R R Bragg South Africa
Jean‐Pierre Ganière France
Gregorio Iraola Uruguay
Hualei Wang China
Jiabo Ding China
Roselene Ecco Brazil
Ke Liu China
Ravi Kumar Gandham India
Gholamreza Nikbakht Brujeni Iran
Liting Qin relative to Tsang Long Lin United States Tsang Long Lin's profile →
Citations per field
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Tsang Long Lin · 1×
Citations per year

Countries citing papers authored by Liting Qin

Since Specialization
Citations

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

Fields of papers citing papers by Liting Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011104
2 202075
3 200959
4 201251
5 201249
6 201347
7 201345
8 201344
9 202243
10 201242
11 201335
12 201435
13 202134
14 201333
15 201332
16 201231
17 201128
18 202426
19 201324
20 201423

About Liting Qin

Liting Qin is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Genetics, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (26 papers), Virology and Viral Diseases (20 papers), Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Autism Spectrum Disorder Research (8 papers), Plant Virus Research Studies (7 papers) and Viral Infections and Immunology Research (7 papers). The work is most often cited by research in Animal Science and Zoology (250 citations), Epidemiology (803 citations), Immunology (278 citations), Molecular Medicine (64 citations) and Microbiology (58 citations). Liting Qin has collaborated with scholars based in China, Brazil and United States. Frequent co-authors include Yulong Gao, Xiaomei Wang, Honglei Gao, Xiaole Qi, Yongqiang Wang, Li Gao, Kai Li, Bingling Yun, Yue Qu and Xiaole Qi. Their work appears in journals such as Vaccine, Veterinary Microbiology, Journal of Clinical Microbiology, Virus Research and Archives of Virology.

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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