Ye Qiu

4.2k citations
100 papers · 2.8k · 1 hit paper · h-index 26

Impact in

Papers in

Ye Qiu

89 papers receiving 2.7k citations

Ye Qiu's Hit Papers

Myocarditis 2016 · 335 citations
3350+3+6Years since publication100200300

Peers

Ye Qiu
Comparison fields: 5 of 149
  • Infectious Diseases 864
  • Animal Science and Zoology 254
  • Cardiology and Cardiovascular Medicine 443
  • Modeling and Simulation 79
  • Neurology 196
Replace Fan Gao with:
Fan Gao China
Youhua Xie China
Jingxin Li China
Arnaldo Caruso Italy
Long Liu China
Haiyan Zhao China
Chunyan Wang China
Dae‐Gyun Ahn South Korea
Huan‐Yao Lei Taiwan
José Ángel Regla-Nava United States
Ye Qiu relative to Fan Gao China Fan Gao's profile →
Citations per field
00.5×2.8×
Fan Gao · 1×
Citations per year

Countries citing papers authored by Ye Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Myocarditis
Hit paper breakdown →
2016335
2 2020322
3 2020294
4 2021192
5 2020152
6 202086
7 202185
8 201075
9 202174
10 201366
11 201858
12 201056
13 200950
14 201445
15 202235
16 201833
17 201431
18 202331
19 201229
20 201529

About Ye Qiu

Ye Qiu is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Immunology, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Viral Infections and Immunology Research (13 papers), Animal Virus Infections Studies (12 papers), interferon and immune responses (9 papers), RNA regulation and disease (8 papers), COVID-19 Clinical Research Studies (7 papers), RNA Research and Splicing (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Infectious Diseases (864 citations), Animal Science and Zoology (254 citations), Cardiology and Cardiovascular Medicine (443 citations), Modeling and Simulation (79 citations) and Neurology (196 citations). Ye Qiu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xing‐Yi Ge, Decheng Yang, Zhijian Zhou, Rui Luo, Qiong Wang, Gabriel Fung, Bruce M. McManus, Honglin Luo, Qiong Wang and Zhi You. Their work appears in journals such as Frontiers in Microbiology, Cellular Microbiology, Journal of Medical Virology, Frontiers in Cellular and Infection Microbiology and Virus Research.

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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