Yit Yoong Lim

1.5k total citations
26 papers, 919 citations indexed

About

Yit Yoong Lim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Yit Yoong Lim has authored 26 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 15 papers in Artificial Intelligence. Recurrent topics in Yit Yoong Lim's work include AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (15 papers) and Global Cancer Incidence and Screening (14 papers). Yit Yoong Lim is often cited by papers focused on AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (15 papers) and Global Cancer Incidence and Screening (14 papers). Yit Yoong Lim collaborates with scholars based in United Kingdom, India and Switzerland. Yit Yoong Lim's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Radiology.

In The Last Decade

Yit Yoong Lim

24 papers receiving 898 citations

Peers

Yit Yoong Lim

PRM

ONCOL

RNMI

Francesca Caumo Italy

Katya M. Duvivier Netherlands

Fang‐I Lu Canada

Janice S. Sung United States

Nola Hylton United States

A Nerurkar United Kingdom

I. Schreer Germany

Marion E. Scoggins United States

Merdol Ibrahim United Kingdom

Brittany Z. Dashevsky United States

Francesca Caumo Italy

Yit Yoong Lim

964 ×2.1

PRM

826 ×1.9

540 ×1.3

ONCOL

653 ×2.0

RNMI

230 ×1.1

Citations per year, relative to Yit Yoong Lim Yit Yoong Lim (= 1×) peers Francesca Caumo

Countries citing papers authored by Yit Yoong Lim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Pritchard, Susan, Elaine F. Harkness, Yit Yoong Lim, et al.. (2024). Long term follow-up of women treated for screen detected atypical ductal hyperplasia or lobular neoplasia in a large UK screening centre. SHILAP Revista de lepidopterología. 2(1). 90–90.

Harvie, Michelle, Suzanne Krizak, Katharine Sellers, et al.. (2022). Prevention Of Breast and Endometrial cancer using Total Diet Replacement (PROBE-TDR) trial: protocol for a randomised controlled trial. BMJ Open. 12(7). e057161–e057161. 1 indexed citations

Evans, D. Gareth, Sacha J. Howell, Ashu Gandhi, et al.. (2021). Breast cancer incidence and early diagnosis in a family history risk and prevention clinic: 33-year experience in 14,311 women. Breast Cancer Research and Treatment. 189(3). 677–687. 8 indexed citations

Astley, Susan, Elaine F. Harkness, Jamie C. Sergeant, et al.. (2018). A comparison of five methods of measuring mammographic density: a case-control study. Breast Cancer Research. 20(1). 10–10. 80 indexed citations

Harvey, James, Yit Yoong Lim, John Murphy, et al.. (2018). Safety and feasibility of breast lesion localization using magnetic seeds (Magseed): a multi-centre, open-label cohort study. Breast Cancer Research and Treatment. 169(3). 531–536. 98 indexed citations

Maxwell, Anthony, Michael Michell, Yit Yoong Lim, et al.. (2017). A randomised trial of screening with digital breast tomosynthesis plus conventional digital 2D mammography versus 2D mammography alone in younger higher risk women. European Journal of Radiology. 94. 133–139. 11 indexed citations

Duffy, Stephen W., Oliver Morrish, P C Allgood, et al.. (2017). Mammographic density and breast cancer risk in breast screening assessment cases and women with a family history of breast cancer. European Journal of Cancer. 88. 48–56. 59 indexed citations

Harkness, Elaine F., Soujanya Gadde, Yit Yoong Lim, et al.. (2017). Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101342P–101342P. 1 indexed citations

Harkness, Elaine F., Yit Yoong Lim, Anthony Maxwell, et al.. (2017). The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101342V–101342V.

10.

Harkness, Elaine F., Anthony Maxwell, Yit Yoong Lim, et al.. (2017). Visual assessment of breast density using Visual Analogue Scales: observer variability, reader attributes and reading time. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10136. 1013608–1013608. 7 indexed citations

11.

McConnell, J. C., Keith Brennan, Miles Howe, et al.. (2016). Increased peri-ductal collagen micro-organization may contribute to raised mammographic density. Breast Cancer Research. 18(1). 5–5. 78 indexed citations

12.

Taylor, Chris, et al.. (2015). Appearance and Understanding of Digital Breast Tomosynthesis Images.. 177–182. 1 indexed citations

13.

Brentnall, Adam R., Elaine F. Harkness, Susan Astley, et al.. (2015). Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Research. 17(1). 147–147. 175 indexed citations

14.

Bundred, Sara, Anthony Maxwell, Julie Morris, et al.. (2015). Randomized controlled trial of stereotactic 11-G vacuum-assisted core biopsy for the diagnosis and management of mammographic microcalcification. British Journal of Radiology. 89(1058). 20150504–20150504. 7 indexed citations

15.

Maxwell, Anthony, Susan Astley, Soujanya Gadde, et al.. (2015). Breast screening interval and the characteristics of screen-detected cancers. Breast Cancer Research. 17(S1). 27 indexed citations

16.

Gilbert, Fiona J., Lorraine Tucker, Maureen Gc Gillan, et al.. (2015). Accuracy of Digital Breast Tomosynthesis for Depicting Breast Cancer Subgroups in a UK Retrospective Reading Study (TOMMY Trial). Radiology. 277(3). 697–706. 137 indexed citations

17.

Harkness, Elaine F., Xin Chen, Soujanya Gadde, et al.. (2015). Local mammographic density as a predictor of breast cancer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 941417–941417. 2 indexed citations

18.

Sergeant, Jamie C., Mary Wilson, Ursula Beetles, et al.. (2013). Same task, same observers, different values: the problem with visual assessment of breast density. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8673. 86730T–86730T. 11 indexed citations

19.

Astley, Susan, Yit Yoong Lim, Catriona Tate, et al.. (2013). A comparison of image interpretation times in full field digital mammography and digital breast tomosynthesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8673. 86730S–86730S. 6 indexed citations

20.

Vijaya, K, et al.. (2006). HPB Online: an electronic health education portal in Singapore.. PubMed. 47(1). 8–13. 3 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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