Yit Yoong Lim
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 10%
- Co-authors
- Susan AstleyStephen W. DuffyAnthony MaxwellFiona J. GilbertMichael MichellLorraine TuckerJulie CookeD. Gareth Evans
- Topics
- AI in cancer detection (15 papers)Digital Radiography and Breast Imaging (15 papers)Global Cancer Incidence and Screening (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchRadiology
- Partner nations
- United KingdomIndiaSwitzerland
In The Last Decade
Yit Yoong Lim
24 papers receiving 898 citations
Peers
Comparison fields: 5 of 73
- Pulmonary and Respiratory Medicine 469
- Artificial Intelligence 446
- Oncology 401
- Radiology, Nuclear Medicine and Imaging 324
- Cancer Research 214
Countries citing papers authored by Yit Yoong Lim
This map shows the geographic impact of Yit Yoong Lim'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 Yit Yoong Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yit Yoong Lim more than expected).
Fields of papers citing papers by Yit Yoong Lim
This network shows the impact of papers produced by Yit Yoong Lim. 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 Yit Yoong Lim. The network helps show where Yit Yoong Lim may publish in the future.
Co-authorship network of co-authors of Yit Yoong Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Yit Yoong Lim. A scholar is included among the top collaborators of Yit Yoong Lim 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 Yit Yoong Lim. Yit Yoong Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 80 | |
| 5 | 98 | |
| 6 | 11 | |
| 7 | 59 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 78 | |
| 12 | Appearance and Understanding of Digital Breast Tomosynthesis Images. | 1 |
| 13 | 175 | |
| 14 | 7 | |
| 15 | 27 | |
| 16 | 137 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | HPB Online: an electronic health education portal in Singapore. | 3 |
About Yit Yoong Lim
Yit Yoong Lim is a scholar working on Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 919 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (15 papers) and Global Cancer Incidence and Screening (14 papers). The work is most often cited by research in Oncology (401 citations), Pulmonary and Respiratory Medicine (469 citations) and Cancer Research (214 citations). Yit Yoong Lim has collaborated with scholars based in United Kingdom, India and Switzerland. Frequent co-authors include Susan Astley, Stephen W. Duffy, Anthony Maxwell, Fiona J. Gilbert, Michael Michell, Lorraine Tucker, Julie Cooke, D. Gareth Evans, Maureen Gc Gillan and Karen A. Duncan. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Radiology.
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.