Nicholas C. Grassly

16.8k citations
124 papers · 5.6k indexed · 2 hit papers · h-index 42
Topics
Viral gastroenteritis research and epidemiology (66 papers)Viral Infections and Immunology Research (60 papers)SARS-CoV-2 and COVID-19 Research (23 papers)

In The Last Decade

Nicholas C. Grassly

119 papers receiving 5.3k citations

Hit Papers

Mathematical models of infectious disease transmission200820262014202020082020100200300400

Peers

Nicholas C. Grassly
Comparison fields: 5 of 176
  • Infectious Diseases 2.8k
  • Cardiology and Cardiovascular Medicine 1.7k
  • Epidemiology 1.3k
  • Modeling and Simulation 857
  • Public Health, Environmental and Occupational Health 625
Replace Peter Teunis with:
Peter Teunis Netherlands
Peter Horby United Kingdom
Hitoshi Oshitani Japan
Nobuhiko Okabe Japan
Cheryl Cohen South Africa
Roland W. Sutter United States
Ian Barr Australia
Piet Maes Belgium
Gregory C. Gray United States
Wun‐Ju Shieh United States
Nicholas C. Grassly relative to Peter Teunis Netherlands Peter Teunis's profile →
Citations per field
00.5×3.5×
Peter Teunis · 1×
Citations per year

Countries citing papers authored by Nicholas C. Grassly

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas C. Grassly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas C. Grassly. 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 Nicholas C. Grassly. The network helps show where Nicholas C. Grassly may publish in the future.

Co-authorship network of co-authors of Nicholas C. Grassly

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas C. Grassly. A scholar is included among the top collaborators of Nicholas C. Grassly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas C. Grassly. Nicholas C. Grassly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 1
6 6
7 16
8 7
9 10
10 5
11 13
12 5
13 87
14 3
15 35
16 18
17 90
18 56
19 60
20 43

About Nicholas C. Grassly

Nicholas C. Grassly is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 124 papers that have together received 5.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (66 papers), Viral Infections and Immunology Research (60 papers) and SARS-CoV-2 and COVID-19 Research (23 papers). The work is most often cited by research in Modeling and Simulation (857 citations), Infectious Diseases (2.8k citations) and Cardiology and Cardiovascular Medicine (1.7k citations). Nicholas C. Grassly has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Christophe Fraser, Edward P K Parker, Margarita Pons-Salort, R. Bruce Aylward, Edward C. Holmes, Roland W. Sutter, Thomas R. Hird, Geoffrey P. Garnett, Jacob John and Gagandeep Kang. Their work appears in journals such as Nature, Science and New England Journal of 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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