David Cubitt

2.4k citations
37 papers · 1.7k indexed · h-index 24

David Cubitt

37 papers receiving 1.7k citations

Peers

David Cubitt
Comparison fields: 5 of 84
  • Infectious Diseases 1.2k
  • Animal Science and Zoology 479
  • Hepatology 220
  • Cardiology and Cardiovascular Medicine 530
  • Epidemiology 443
Replace J. B. Kurtz with:
J. B. Kurtz United Kingdom
Matthias F. C. Beersma Netherlands
Elke Wollants Belgium
A. Garbarg‐Chenon France
Roger Eglin United Kingdom
Linda L. Yasukawa United States
H. Peigue‐Lafeuille France
Peter Muir United Kingdom
Claudia Colomba Italy
Antonio Piralla Italy
David Cubitt relative to J. B. Kurtz United Kingdom J. B. Kurtz's profile →
Citations per field
00.5×1.5×
J. B. Kurtz · 1×
Citations per year

Countries citing papers authored by David Cubitt

Since Specialization
Citations

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

Fields of papers citing papers by David Cubitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200712
2 200752
3 200620
4 200631
5 200631
6 2005107
7 200528
8 200573
9 200427
10 200225
11 199915
12 1999315
13 199782
14 199565
15 199451
16 199324
17 199336
18 19937
19 199222
20 199170

About David Cubitt

David Cubitt is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Virology and Hepatology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (14 papers), HIV/AIDS Research and Interventions (10 papers), Cytomegalovirus and herpesvirus research (10 papers), Viral Infections and Immunology Research (8 papers), Animal Virus Infections Studies (7 papers), HIV, Drug Use, Sexual Risk (7 papers), Virus-based gene therapy research (4 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (479 citations), Hepatology (220 citations), Cardiology and Cardiovascular Medicine (530 citations) and Epidemiology (443 citations). David Cubitt has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Jim Gray, David O. Matson, Xi Jiang, Wenyu Zhong, Pengwei Huang, Tibor Farkas, Miren Iturriza‐Gómara, Chris I. Gallimore, Ulrich Desselberger and Nelita du Plessis. Their work appears in journals such as Journal of Medical Virology, Journal of Clinical Microbiology, AIDS, British Journal of Haematology and Epidemiology and 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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