Fraser Brims

2.3k total citations
92 papers, 1.4k citations indexed

About

Fraser Brims is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Fraser Brims has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Pulmonary and Respiratory Medicine, 14 papers in Public Health, Environmental and Occupational Health and 13 papers in Oncology. Recurrent topics in Fraser Brims's work include Occupational and environmental lung diseases (43 papers), Pleural and Pulmonary Diseases (28 papers) and Lung Cancer Diagnosis and Treatment (26 papers). Fraser Brims is often cited by papers focused on Occupational and environmental lung diseases (43 papers), Pleural and Pulmonary Diseases (28 papers) and Lung Cancer Diagnosis and Treatment (26 papers). Fraser Brims collaborates with scholars based in Australia, United Kingdom and United States. Fraser Brims's co-authors include Nick Maskell, Nicholas de Klerk, Gary Lee, Arthur W. Musk, Anoop Chauhan, Nola Olsen, Peter Franklin, Jenette Creaney, Ryan Hoy and Janis K. Shute and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and British Journal of Cancer.

In The Last Decade

Fraser Brims

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fraser Brims Australia 21 1.0k 227 152 123 112 92 1.4k
Metin Akgün Türkiye 22 838 0.8× 322 1.4× 185 1.2× 81 0.7× 194 1.7× 150 1.7k
Mário Terra Filho Brazil 23 958 0.9× 179 0.8× 323 2.1× 27 0.2× 405 3.6× 113 1.9k
Enrique Diaz‐Guzman United States 20 902 0.9× 65 0.3× 372 2.4× 43 0.3× 63 0.6× 57 1.5k
Nicole Goh Australia 28 4.3k 4.2× 290 1.3× 228 1.5× 134 1.1× 55 0.5× 97 4.8k
Katie O’Hearn Canada 15 285 0.3× 129 0.6× 90 0.6× 72 0.6× 37 0.3× 73 768
Won-Il Choi South Korea 17 372 0.4× 36 0.2× 96 0.6× 57 0.5× 37 0.3× 69 949
Nick Wilson United Kingdom 20 718 0.7× 76 0.3× 648 4.3× 260 2.1× 90 0.8× 46 1.9k
Venkata Bandi United States 20 1.0k 1.0× 45 0.2× 137 0.9× 79 0.6× 15 0.1× 53 1.8k
Cristina Martínez González Spain 16 620 0.6× 204 0.9× 28 0.2× 51 0.4× 106 0.9× 81 859
Anne Tsampalieros Canada 18 262 0.3× 164 0.7× 143 0.9× 92 0.7× 35 0.3× 57 1.0k

Countries citing papers authored by Fraser Brims

Since Specialization
Citations

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

Fields of papers citing papers by Fraser Brims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fraser Brims

This figure shows the co-authorship network connecting the top 25 collaborators of Fraser Brims. A scholar is included among the top collaborators of Fraser Brims based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fraser Brims. Fraser Brims is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Fennell, Dean A., Yoshitaka Sekido, Paul Baas, et al.. (2025). Pleural mesothelioma. Nature Reviews Disease Primers. 11(1). 56–56.
3.
Stone, Emily, Shalini Vinod, Tracy L. Leong, et al.. (2024). Lung cancer (internet‐based) Delphi (LUCiD): A modified eDelphi consensus process to establish Australasian clinical quality indicators for thoracic cancer. Respirology. 29(12). 1085–1094. 1 indexed citations
4.
Brodersen, John, Volkert Siersma, Henry Marshall, et al.. (2024). Validation of the psychosocial consequences of screening in lung cancer questionnaire in the international lung screen trial Australian cohort. Health and Quality of Life Outcomes. 22(1). 10–10. 1 indexed citations
5.
Brims, Fraser, et al.. (2023). The Western Australian Mesothelioma Registry: Analysis of 60 years of cases. Respirology. 29(4). 288–294. 5 indexed citations
6.
Brims, Fraser, et al.. (2019). Pleural Plaques and the Risk of Lung Cancer in Asbestos-exposed Subjects. American Journal of Respiratory and Critical Care Medicine. 201(1). 57–62. 23 indexed citations
7.
Myers, Renelle, John R. Mayo, Martin C. Tammemägi, et al.. (2019). MA10.09 Evaluation of the Clinical Utility of the PanCan, EU-NELSON and Lung-RADS Protocols for Management of Screen Detected Lung Nodules at Baseline. Journal of Thoracic Oncology. 14(10). S288–S289. 2 indexed citations
8.
Brims, Fraser, Natalia Popowicz, Andrew Rosenstengel, et al.. (2018). Bacteriology and clinical outcomes of patients with culture‐positive pleural infection in Western Australia: A 6‐year analysis. Respirology. 24(2). 171–178. 32 indexed citations
9.
Murray, Conor, Peter Franklin, Alison Reid, et al.. (2018). LUNG CANCER SCREENING IN THE WESTERN AUSTRALIAN ASBESTOS REVIEW PROGRAM. Respirology. 23. 38–38. 1 indexed citations
10.
Olsen, Nola, et al.. (2018). PLEURAL PLAQUES DO NOT INCREASE LUNG CANCER RISK IN ASBESTOS-EXPOSED. Respirology. 23. 204–204. 1 indexed citations
11.
Kao, Steven, Brian C. McCaughan, Takashi Nakano, et al.. (2018). Prediction modelling using routine clinical parameters to stratify survival in Malignant Pleural Mesothelioma patients undergoing cytoreductive surgery. Journal of Thoracic Oncology. 14(2). 288–293. 10 indexed citations
12.
Manners, David, et al.. (2017). The lungScreen WA project: Results from a prospective LDCT screening programme of high-risk smokers. Respiratory Medicine. 132. 278–278. 1 indexed citations
13.
Muruganandan, Sanjeevan, Helman Alfonso, Peter Franklin, et al.. (2017). Comparison of outcomes following a cytological or histological diagnosis of malignant mesothelioma. British Journal of Cancer. 116(6). 703–708. 26 indexed citations
14.
Brims, Fraser, Tarek Meniawy, Duneesha de Fonseka, et al.. (2016). A Novel Clinical Prediction Model for Prognosis in Malignant Pleural Mesothelioma Using Decision Tree Analysis. Journal of Thoracic Oncology. 11(4). 573–582. 102 indexed citations
15.
Brims, Fraser, et al.. (2014). THE BACTERIOLOGY OF PLEURAL INFECTION IN WESTERN AUSTRALIA. Respirology. 19. 127–127. 3 indexed citations
16.
Brims, Fraser, Conor Murray, Nicholas de Klerk, et al.. (2014). 12 Months Of Low Dose CT Scan Screening An Asbestos Exposed Population: Results From The Western Australia Asbestos Review Program. American Journal of Respiratory and Critical Care Medicine. 189. 1 indexed citations
18.
Asiimwe, Alex, Fraser Brims, Neil P. Andrews, et al.. (2011). Routine Laboratory Tests can Predict In-hospital Mortality in Acute Exacerbations of COPD. Lung. 189(3). 225–232. 38 indexed citations
19.
Brims, Fraser, Helen Davies, & Gary Lee. (2010). Respiratory Chest Pain: Diagnosis and Treatment. Medical Clinics of North America. 94(2). 217–232. 30 indexed citations
20.
Brims, Fraser. (2004). Primary spontaneous tension pneumothorax in a submariner at sea. Emergency Medicine Journal. 21(3). 394–395. 8 indexed citations

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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