Phil Barber
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Chronic Obstructive Pulmonary Disease (COPD) Research
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- Lung Cancer Research Studies
- Global Cancer Incidence and Screening
Papers in
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- Lung Cancer Diagnosis and Treatment 4
- Tracheal and airway disorders 1
- Lung Cancer Treatments and Mutations 1
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- Epigenetics and DNA Methylation 1
- Genomics, phytochemicals, and oxidative stress 1
- Co-authors
- Richard Booton (5 shared papers)Philip Crosbie (4 shared papers)Janet Tonge (3 shared papers)Denis Colligan (2 shared papers)Haval Balata (2 shared papers)Nick Thatcher (1 shared paper)W P Steward (1 shared paper)Sebastian Hinde (1 shared paper)
- Journals
- International Journal of Cancer (1 paper)Cancer (1 paper)Health Expectations (1 paper)Lung Cancer (1 paper)Thorax (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Phil Barber
7 papers receiving 106 citations
Peers
Comparison fields: 5 of 20
- Pulmonary and Respiratory Medicine 67
- Oncology 35
- Otorhinolaryngology 5
- Radiology, Nuclear Medicine and Imaging 11
- Cancer Research 6
Countries citing papers authored by Phil Barber
This map shows the geographic impact of Phil Barber'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 Phil Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Barber more than expected).
Fields of papers citing papers by Phil Barber
This network shows the impact of papers produced by Phil Barber. 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 Phil Barber. The network helps show where Phil Barber may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Barber, 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 | 2018 | 28 | |
| 2 | 2018 | 24 | |
| 3 | 2019 | 18 | |
| 4 | 1985 | 18 | |
| 5 | 2006 | 14 | |
| 6 | 2014 | 7 | |
| 7 | 2015 | 1 |
About Phil Barber
Phil Barber is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 110 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (1 paper), Lung Cancer Research Studies (1 paper), Tracheal and airway disorders (1 paper), Lung Cancer Treatments and Mutations (1 paper), Health Promotion and Cardiovascular Prevention (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (67 citations), Oncology (35 citations), Otorhinolaryngology (5 citations), Radiology, Nuclear Medicine and Imaging (11 citations) and Cancer Research (6 citations). Phil Barber has collaborated with scholars based in United Kingdom. Frequent co-authors include Richard Booton, Philip Crosbie, Janet Tonge, Denis Colligan, Haval Balata, Nick Thatcher, W P Steward, Sebastian Hinde, Tessa Crilly and John Crilly. Their work appears in journals such as International Journal of Cancer, Cancer, Health Expectations, Lung Cancer and Thorax.
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.