Nigel Curtis

21.0k citations
330 papers · 12.1k indexed · 3 hit papers · h-index 55

Nigel Curtis

323 papers receiving 11.8k citations

Hit Papers

Coronavirus Infections in Children Including COVID-197142019202620212023200400600

Peers

Nigel Curtis
Comparison fields: 5 of 178
  • Infectious Diseases 5.5k
  • Immunology 2.4k
  • Microbiology 712
  • Health 885
  • Epidemiology 3.5k
Replace Beate Kampmann with:
Beate Kampmann United Kingdom
Nicola Principi Italy
Susanna Esposito Italy
Shabir A. Madhi South Africa
Timothy M. Uyeki United States
Janet A. Englund United States
Reinout van Crevel Netherlands
Heather J. Zar South Africa
Laurent Kaiser Switzerland
David K. Shay United States
Nigel Curtis relative to Beate Kampmann United Kingdom Beate Kampmann's profile →
Citations per field
00.5×1.5×1.8×
Beate Kampmann · 1×
Citations per year

Countries citing papers authored by Nigel Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20240
4 20242
5 20231
6 202259
7 20222
8 20214
9 202176
10 202112
11 202010
12 20200
13 201970
14 201912
15 201827
16 201837
17 201786
18 201717
19 201514
20 19817

About Nigel Curtis

Nigel Curtis is a scholar working on Infectious Diseases, Microbiology, Epidemiology, Health and Immunology, having authored 330 papers that have together received 12.1k indexed citations. Recurring topics across this work include Immune responses and vaccinations (59 papers), Tuberculosis Research and Epidemiology (55 papers), Streptococcal Infections and Treatments (44 papers), Antimicrobial Resistance in Staphylococcus (41 papers), Immunodeficiency and Autoimmune Disorders (32 papers), Pneumonia and Respiratory Infections (30 papers), Vaccine Coverage and Hesitancy (29 papers) and Mycobacterium research and diagnosis (28 papers). The work is most often cited by research in Infectious Diseases (5.5k citations), Immunology (2.4k citations), Microbiology (712 citations), Health (885 citations) and Epidemiology (3.5k citations). Nigel Curtis has collaborated with scholars based in Australia, United Kingdom and Switzerland. Frequent co-authors include Petra Zimmermann, Nicole Ritz, Marc Tebruegge, Penelope A Bryant, Jonathan R. Carapetis, Roy M. Robins‐Browne, John Trinder, Laure F. Pittet, Mihai G. Netea and Tom Connell. Their work appears in journals such as The Pediatric Infectious Disease Journal, Archives of Disease in Childhood, Vaccine, Journal of Infection and Advances in experimental medicine and biology.

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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