Nadia Storm

2.5k citations
29 papers · 1000 · h-index 18

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology

Papers in

Nadia Storm

29 papers receiving 979 citations

Peers

Nadia Storm
Comparison fields: 5 of 111
  • Aging 150
  • Infectious Diseases 502
  • Virology 55
  • General Dentistry 18
  • Modeling and Simulation 42
Replace Yoshihiko Murata with:
Yoshihiko Murata United States
E. Falcone Italy
Scott A. Jeffers United States
Feng Zhu China
Klara Abravaya United States
Patrick Fourquet France
Xiao‐Wen Cheng China
H. Wolf Austria
Ali Bashir United States
Nadia Storm relative to Yoshihiko Murata United States Yoshihiko Murata's profile →
Citations per field
00.5×10×14×
Yoshihiko Murata · 1×
Citations per year

Countries citing papers authored by Nadia Storm

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Storm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014164
2 2020119
3 202188
4 200974
5 201364
6 201664
7 201553
8 201641
9 201837
10 201330
11 201529
12 201829
13 201228
14 202027
15 201727
16 202225
17 202124
18 201321
19 201815
20 201510

About Nadia Storm

Nadia Storm is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Aging, Ecology, Evolution, Behavior and Systematics and Virology, having authored 29 papers that have together received 1000 indexed citations. Recurring topics across this work include Viral Infections and Vectors (18 papers), Viral Infections and Outbreaks Research (15 papers), Viral gastroenteritis research and epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Mosquito-borne diseases and control (4 papers), Vector-Borne Animal Diseases (3 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Aging (150 citations), Infectious Diseases (502 citations), Virology (55 citations), General Dentistry (18 citations) and Modeling and Simulation (42 citations). Nadia Storm has collaborated with scholars based in United States, South Africa and Sierra Leone. Frequent co-authors include Janusz T. Pawęska, Petrus Jansen van Vuren, Wanda Markotter, Alan C. Kemp, Adam Antebi, Lindsay G. A. McKay, Anthony Griffiths, Antoinette A. Grobbelaar, Rebecca I. Johnson and Michael R. Wiley. Their work appears in journals such as Viruses, Scientific Reports, Emerging infectious diseases, The Journal of Infectious Diseases and PLoS Genetics.

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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