Nick Bundle

1.8k citations
14 papers · 246 · h-index 9

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • SARS-CoV-2 detection and testing 2
    • Viral Infections and Outbreaks Research 2
    • Antimicrobial Resistance in Staphylococcus 2
    • COVID-19 Clinical Research Studies 2
    • COVID-19 epidemiological studies 4

Nick Bundle

13 papers receiving 238 citations

Peers

Nick Bundle
Comparison fields: 5 of 66
  • Modeling and Simulation 27
  • Infectious Diseases 66
  • Hepatology 17
  • Epidemiology 54
  • Public Health, Environmental and Occupational Health 43
Replace Nicola Pearce‐Smith with:
Nicola Pearce‐Smith United Kingdom
Mohammad Aziz Rasouli Iran
Soheil Hashtarkhani Iran
Vasna Joshua India
Tina Endericks United Kingdom
Catherine Smallwood Switzerland
Maria Letícia Rodrigues Ikeda Brazil
Abdul Nafey Kazi Pakistan
Nkengafac Villyen Motaze South Africa
Karin Geffert Germany
Nick Bundle relative to Nicola Pearce‐Smith United Kingdom Nicola Pearce‐Smith's profile →
Citations per field
00.5×5×10×17.3×
Nicola Pearce‐Smith · 1×
Citations per year

Countries citing papers authored by Nick Bundle

Since Specialization
Citations

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

Fields of papers citing papers by Nick Bundle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202063
2 201742
3 202125
4 202124
5 201823
6 201820
7 201912
8 201912
9 20208
10 20197
11 20185
12 20234
13 20251
14 20230

About Nick Bundle

Nick Bundle is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health and Hepatology, having authored 14 papers that have together received 246 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Streptococcal Infections and Treatments (2 papers), SARS-CoV-2 detection and testing (2 papers), Hepatitis B Virus Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (27 citations), Infectious Diseases (66 citations), Hepatology (17 citations), Epidemiology (54 citations) and Public Health, Environmental and Occupational Health (43 citations). Nick Bundle has collaborated with scholars based in United Kingdom, Sweden and Denmark. Frequent co-authors include Sooria Balasegaram, Helen Johnson, Julien Beauté, Karl Ekdahl, Céline M Gossner, Svetla Tsolova, Andrea Würz, Edoardo Colzani, John Kinsman and Angie Bone. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Journal of Epidemiology & Community Health, Public Health and Journal of Infection.

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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