Yangyang Qi

1.4k citations
26 papers · 1.0k · h-index 14

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 4
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 3
    • Viral gastroenteritis research and epidemiology 2

Yangyang Qi

25 papers receiving 1.0k citations

Peers

Yangyang Qi
Comparison fields: 5 of 88
  • Immunology 395
  • Oncology 347
  • Cancer Research 154
  • Pulmonary and Respiratory Medicine 209
  • Physiology 21
Replace Stefan Pflanz with:
Stefan Pflanz Germany
Qi Bai China
Lulu Wang China
Feng Han China
Namita D. Shanbhag United States
Matthew A. Ingham United States
Weihua Zhu China
Manik A. Amin United States
Pei‐Yao Fu China
Dan Sha China
Yangyang Qi relative to Stefan Pflanz Germany Stefan Pflanz's profile →
Citations per field
00.5×2×3×3.8×
Stefan Pflanz · 1×
Citations per year

Countries citing papers authored by Yangyang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019306
2 2018183
3 202094
4 202077
5 202042
6 201942
7 201939
8 202035
9 202235
10 202028
11 202027
12 201922
13 201820
14 202315
15 201914
16 202313
17 201610
18 20199
19 20209
20 20233

About Yangyang Qi

Yangyang Qi is a scholar working on Immunology, Infectious Diseases, Oncology, Hepatology and Transportation, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), COVID-19 Clinical Research Studies (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Immunology (395 citations), Oncology (347 citations), Cancer Research (154 citations), Pulmonary and Respiratory Medicine (209 citations) and Physiology (21 citations). Yangyang Qi has collaborated with scholars based in China, Malaysia and Taiwan. Frequent co-authors include Weijuan Zhang, Jiejie Xu, Qi Jiang, Yifan Chen, Lingli Chen, Heng Zhang, Hongyong He, Chao Lin, Yihong Sun and Ruochen Li. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Cancer Immunology Immunotherapy, Vaccine, Gut and Emerging Microbes & Infections.

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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