Gao Yan

1.7k citations
84 papers · 1.1k · h-index 17

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
  • Periodontics top 10%

Papers in

Gao Yan

76 papers receiving 1.1k citations

Peers

Gao Yan
Comparison fields: 5 of 138
  • Infectious Diseases 369
  • Periodontics 40
  • Animal Science and Zoology 87
  • Oral Surgery 62
  • Immunology 149
Replace Yu Hu with:
Yu Hu China
Marcelo Nociari United States
Shujuan Guo China
Sang Jae Lee South Korea
Zixuan Li China
Vishnu M. Dhople Germany
Romain Parent France
Mandar Deshpande India
Jingqiu Cheng China
Stephen H. Thorne United States
Gao Yan relative to Yu Hu China Yu Hu's profile →
Citations per field
00.5×8.9×
Yu Hu · 1×
Citations per year

Countries citing papers authored by Gao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Gao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020202
2 2020145
3 201384
4 201652
5 202346
6 202241
7 201839
8 202139
9 202236
10 201830
11 201530
12 200629
13 201528
14 201828
15 202022
16 200322
17 201417
18 201916
19 201816
20 202015

About Gao Yan

Gao Yan is a scholar working on Molecular Biology, Rheumatology, Infectious Diseases, Immunology and Plant Science, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), dental development and anomalies (5 papers), Traditional Chinese Medicine Analysis (4 papers), RNA and protein synthesis mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral Infections and Immunology Research (3 papers) and Oral microbiology and periodontitis research (3 papers). The work is most often cited by research in Infectious Diseases (369 citations), Periodontics (40 citations), Animal Science and Zoology (87 citations), Oral Surgery (62 citations) and Immunology (149 citations). Gao Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zihe Rao, Yucen Huang, Ji Ge, Liming Yan, Zhiyong Lou, Quan Wang, Litao Zheng, Mingyu Li, Ying Zhang and Haofeng Wang. Their work appears in journals such as Cell, European Journal of Pharmacology, Fish & Shellfish Immunology, Biochemical and Biophysical Research Communications and Scientific Reports.

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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