Mary Jane Lim-Fat

1.5k total citations
40 papers, 270 citations indexed

About

Mary Jane Lim-Fat is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mary Jane Lim-Fat has authored 40 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 16 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mary Jane Lim-Fat's work include Glioma Diagnosis and Treatment (32 papers), Brain Metastases and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Mary Jane Lim-Fat is often cited by papers focused on Glioma Diagnosis and Treatment (32 papers), Brain Metastases and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Mary Jane Lim-Fat collaborates with scholars based in Canada, United States and Switzerland. Mary Jane Lim-Fat's co-authors include James Perry, Jay Detsky, Arjun Sahgal, Patrick Y. Wen, Sunit Das, Hany Soliman, Chia‐Lin Tseng, Nir Lipsman, Suganth Suppiah and Pejman Maralani and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Radiology.

In The Last Decade

Mary Jane Lim-Fat

33 papers receiving 268 citations

Peers

Mary Jane Lim-Fat
Comparison fields: 5 of 43
  • Genetics 171
  • Pulmonary and Respiratory Medicine 101
  • Radiology, Nuclear Medicine and Imaging 73
  • Oncology 42
  • Molecular Biology 40
Replace Yannick Kerloëguen with:
Yannick Kerloëguen Switzerland
John Floyd United States
Jana Jaal Estonia
Ashley Ghiaseddin United States
Yutaka Fujioka Japan
Paula Klurfan Canada
Shiao-Pei Weathers United States
Tabitha Cooney United States
Alessandra Mirri Italy
Yannick Kerloëguen Switzerland View profile →
Citations per field, relative to Mary Jane Lim-Fat
Mary Jane Lim-Fat · 1×
Citations per year, relative to Mary Jane Lim-Fat
Mary Jane Lim-Fat · 1×

Countries citing papers authored by Mary Jane Lim-Fat

Since Specialization
Citations

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

Fields of papers citing papers by Mary Jane Lim-Fat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Jane Lim-Fat. 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 Mary Jane Lim-Fat. The network helps show where Mary Jane Lim-Fat may publish in the future.

Co-authorship network of co-authors of Mary Jane Lim-Fat

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Jane Lim-Fat. A scholar is included among the top collaborators of Mary Jane Lim-Fat 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 Mary Jane Lim-Fat. Mary Jane Lim-Fat 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
# Work Indexed citations
1 0
2 0
3 3
4 3
5 1
6 3
7 9
8 4
9 0
10 0
11 6
12 3
13 11
14 2
15 2
16 37
17 10
18 18
19 25
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026