Qiru Su

1.3k citations
53 papers · 803 · h-index 17

Impact in

Papers in

    • Virology and Viral Diseases 19
    • Respiratory viral infections research 6
    • Influenza Virus Research Studies 4
    • Vaccine Coverage and Hesitancy 17

Qiru Su

49 papers receiving 779 citations

Peers

Qiru Su
Comparison fields: 5 of 107
  • Health 299
  • Modeling and Simulation 145
  • Epidemiology 470
  • Infectious Diseases 160
  • Immunology 170
Replace Tiejian Feng with:
Tiejian Feng China
Lisa M. Gargano United States
Vajeera Dorabawila United States
K Johansen Sweden
Yenlik Zheteyeva United States
Margaret McDonald United States
Denise Leite Maia Monteiro Brazil
Alyssa S. Parpia United States
Nakia Clemmons United States
Ranee Seither United States
Qiru Su relative to Tiejian Feng China Tiejian Feng's profile →
Citations per field
00.5×5.2×
Tiejian Feng · 1×
Citations per year

Countries citing papers authored by Qiru Su

Since Specialization
Citations

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

Fields of papers citing papers by Qiru Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 201387
3 202155
4 201853
5 202035
6 201734
7 201933
8 201627
9 201925
10 201324
11 201823
12 201522
13 201620
14 202120
15 201520
16 202218
17 202217
18 201616
19 202216
20 201615

About Qiru Su

Qiru Su is a scholar working on Epidemiology, Health, Immunology, Pediatrics, Perinatology and Child Health and Physiology, having authored 53 papers that have together received 803 indexed citations. Recurring topics across this work include Virology and Viral Diseases (19 papers), Vaccine Coverage and Hesitancy (17 papers), Immune responses and vaccinations (9 papers), Respiratory viral infections research (6 papers), Bullying, Victimization, and Aggression (5 papers), Influenza Virus Research Studies (4 papers), COVID-19 epidemiological studies (4 papers) and Bacterial Infections and Vaccines (4 papers). The work is most often cited by research in Health (299 citations), Modeling and Simulation (145 citations), Epidemiology (470 citations), Infectious Diseases (160 citations) and Immunology (170 citations). Qiru Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lixin Hao, Chao Ma, Qiguo Lian, Huaqing Wang, Lance E. Rodewald, Zijian Feng, Wen Ning, Huiming Luo, Hui Jin and Lei Zhou. Their work appears in journals such as Vaccine, BMC Infectious Diseases, PLoS ONE, Scientific Reports and PLoS Medicine.

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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