Jie‐Bin Lew
- Epidemiology top 2%
- Oncology top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Karen CanfellMegan A. SmithKate T. SimmsMarion SavilleMichael CaruanaMichaela HallJulia BrothertonJufang Shi
- Topics
- Colorectal Cancer Screening and Detection (31 papers)Cervical Cancer and HPV Research (28 papers)Global Cancer Incidence and Screening (27 papers)
- Cited by
- OncologyEpidemiologyMicrobiology
- Partner nations
- AustraliaNetherlandsChina
In The Last Decade
Jie‐Bin Lew
59 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Epidemiology 1.4k
- Oncology 1.3k
- Surgery 532
- Pulmonary and Respiratory Medicine 260
- Molecular Biology 199
Countries citing papers authored by Jie‐Bin Lew
This map shows the geographic impact of Jie‐Bin Lew'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 Jie‐Bin Lew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie‐Bin Lew more than expected).
Fields of papers citing papers by Jie‐Bin Lew
This network shows the impact of papers produced by Jie‐Bin Lew. 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 Jie‐Bin Lew. The network helps show where Jie‐Bin Lew may publish in the future.
Co-authorship network of co-authors of Jie‐Bin Lew
This figure shows the co-authorship network connecting the top 25 collaborators of Jie‐Bin Lew. A scholar is included among the top collaborators of Jie‐Bin Lew 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 Jie‐Bin Lew. Jie‐Bin Lew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 93 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | Impact of scaled up human papillomavirus vaccination and cervical screening and the potential for global elimination of cervical cancer in 181 countries, 2020–99: a modelling studybreakdown → | 326 |
| 15 | 34 | |
| 16 | The projected timeframe until cervical cancer elimination in Australia: a modelling studybreakdown → | 301 |
| 17 | 27 | |
| 18 | 11 | |
| 19 | 13 | |
| 20 | 53 |
About Jie‐Bin Lew
Jie‐Bin Lew is a scholar working on Microbiology, Oncology and Epidemiology, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (31 papers), Cervical Cancer and HPV Research (28 papers) and Global Cancer Incidence and Screening (27 papers). The work is most often cited by research in Oncology (1.3k citations), Epidemiology (1.4k citations) and Microbiology (189 citations). Jie‐Bin Lew has collaborated with scholars based in Australia, Netherlands and China. Frequent co-authors include Karen Canfell, Megan A. Smith, Kate T. Simms, Marion Saville, Michael Caruana, Michaela Hall, Julia Brotherton, Jufang Shi, Philip E. Castle and Julia Steinberg. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.
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.