Nick Ruktanonchai

5.2k citations
45 papers · 2.3k indexed · 1 hit paper · h-index 24
Topics
COVID-19 epidemiological studies (22 papers)Mosquito-borne diseases and control (12 papers)Malaria Research and Control (11 papers)

In The Last Decade

Nick Ruktanonchai

44 papers receiving 2.3k citations

Hit Papers

Effect of non-pharmaceutical interventions to contain COV...20202026202220242020250500750

Peers

Nick Ruktanonchai
Comparison fields: 5 of 141
  • Modeling and Simulation 1.2k
  • Public Health, Environmental and Occupational Health 505
  • Infectious Diseases 471
  • Transportation 452
  • Epidemiology 450
Replace Chiara Poletto with:
Chiara Poletto France
Lauren Gardner United States
Olivia Prosper United States
Samuel V. Scarpino United States
Jaline Gerardin United States
Louis du Plessis United Kingdom
Huaiyu Tian China
Michele Tizzoni Italy
Paul L. Delamater United States
Jessica Floyd United Kingdom
Nick Ruktanonchai relative to Chiara Poletto France Chiara Poletto's profile →
Citations per field
00.5×
Chiara Poletto · 1×
Citations per year

Countries citing papers authored by Nick Ruktanonchai

Since Specialization
Citations

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

Fields of papers citing papers by Nick Ruktanonchai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Ruktanonchai

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Ruktanonchai. A scholar is included among the top collaborators of Nick Ruktanonchai 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 Nick Ruktanonchai. Nick Ruktanonchai 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 1
3 1
4 13
5 9
6 67
7 20
8 11
9 89
10 104
11 133
12
Effect of non-pharmaceutical interventions to contain COVID-19 in Chinabreakdown →
864
13 56
14 5
15 59
16 35
17 34
18 89
19 34
20 8

About Nick Ruktanonchai

Nick Ruktanonchai is a scholar working on Modeling and Simulation, Transportation and Public Health, Environmental and Occupational Health, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (22 papers), Mosquito-borne diseases and control (12 papers) and Malaria Research and Control (11 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Transportation (452 citations) and Infectious Diseases (471 citations). Nick Ruktanonchai has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Andrew J. Tatem, Shengjie Lai, Jessica Floyd, Olivia Prosper, Amy Wesolowski, Xiangjun Du, Hongjie Yu, Chi Zhang, Wei Luo and Liangcai Zhou. Their work appears in journals such as Nature, Science and Nature Communications.

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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