D. Gelb
Impact in
- Endocrinology top 10%
- Legionella and Acanthamoeba research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 2
- Urinary Tract Infections Management 2
- Pneumocystis jirovecii pneumonia detection and treatment 1
-
- Tuberculosis Research and Epidemiology 4
- Co-authors
- Alessia Melegaro (1 shared paper)Nigel Gay (1 shared paper)W. John Edmunds (1 shared paper)Richard Pitman (1 shared paper)Ruby Siddiqui (1 shared paper)André Charlett (4 shared papers)C A Joseph (1 shared paper)Chris Lane (1 shared paper)
- Journals
- Epidemiology and Infection (3 papers)Family Practice (2 papers)Journal of Public Health (1 paper)Public Health (1 paper)Journal of Infection (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
D. Gelb
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 66
- Endocrinology 45
- Modeling and Simulation 36
- Epidemiology 204
- Infectious Diseases 97
- Health, Toxicology and Mutagenesis 36
Countries citing papers authored by D. Gelb
This map shows the geographic impact of D. Gelb'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 D. Gelb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Gelb more than expected).
Fields of papers citing papers by D. Gelb
This network shows the impact of papers produced by D. Gelb. 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 D. Gelb. The network helps show where D. Gelb may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Gelb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 130 | |
| 2 | 2008 | 52 | |
| 3 | 2010 | 29 | |
| 4 | Tuberculosis in non-UK-born persons, England and Wales, 2001-2003. | 2007 | 26 |
| 5 | 2008 | 20 | |
| 6 | 2008 | 19 | |
| 7 | 2009 | 19 | |
| 8 | 2007 | 18 | |
| 9 | 2008 | 8 | |
| 10 | 2007 | 5 | |
| 11 | 2001 | 1 |
About D. Gelb
D. Gelb is a scholar working on Epidemiology, Infectious Diseases, Surgery, General Health Professions and Clinical Psychology, having authored 11 papers that have together received 327 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Influenza Virus Research Studies (2 papers), Primary Care and Health Outcomes (2 papers), Urinary Tract Infections Management (2 papers), Legionella and Acanthamoeba research (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Indoor Air Quality and Microbial Exposure (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Endocrinology (45 citations), Modeling and Simulation (36 citations), Epidemiology (204 citations), Infectious Diseases (97 citations) and Health, Toxicology and Mutagenesis (36 citations). D. Gelb has collaborated with scholars based in United Kingdom. Frequent co-authors include Alessia Melegaro, Nigel Gay, W. John Edmunds, Richard Pitman, Ruby Siddiqui, André Charlett, C A Joseph, Chris Lane, K D Ricketts and John Watson. Their work appears in journals such as Epidemiology and Infection, Family Practice, Journal of Public 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.