Natalie Quanquin

682 citations
15 papers · 479 · h-index 11

Impact in

Papers in

Natalie Quanquin

15 papers receiving 467 citations

Peers

Natalie Quanquin
Comparison fields: 5 of 79
  • Infectious Diseases 216
  • Public Health, Environmental and Occupational Health 170
  • Immunology 87
  • Applied Microbiology and Biotechnology 7
  • Epidemiology 114
Replace Xue Ji with:
Xue Ji China
Andrea Stossel United States
Xiaodan Li China
A. Stich Germany
Soumi Sukla India
Meiling Ou China
Zhinan Jin United States
Alex G. Peniche United States
Nnaemeka C. Iriemenam Nigeria
Kirandeep Samby Switzerland
Natalie Quanquin relative to Xue Ji China Xue Ji's profile →
Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Natalie Quanquin

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Quanquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017132
2 201887
3 201979
4 202042
5 199930
6 201819
7 200415
8 201815
9 201412
10 201611
11 201511
12 202010
13 20078
14 20226
15 20222

About Natalie Quanquin

Natalie Quanquin is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 479 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (4 papers), Trypanosoma species research and implications (2 papers), Virology and Viral Diseases (2 papers), Escherichia coli research studies (2 papers), Viral Infections and Immunology Research (2 papers), interferon and immune responses (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (216 citations), Public Health, Environmental and Occupational Health (170 citations), Immunology (87 citations), Applied Microbiology and Biotechnology (7 citations) and Epidemiology (114 citations). Natalie Quanquin has collaborated with scholars based in United States, China and Belarus. Frequent co-authors include Genhong Cheng, Chunfeng Li, Cheng‐Feng Qin, Xue Ji, F. Xiao‐Feng Qin, Jae U. Jung, Karin Nielsen‐Saines, Shabbir Khan Afridi, Xingliang Zhu and Zhiheng Xu. Their work appears in journals such as Infection and Immunity, Virology, Emerging Microbes & Infections, Science Signaling and Journal 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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