Cathy Lan
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
-
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 8
- Oncology 5
- Cancer Cells and Metastasis 2
- Co-authors
- Carlo B Gambacorti-Passerini (2 shared papers)Hafedh Dekhil (2 shared papers)Addolorata Maria Luce Coluccia (1 shared paper)Daniela Benati (1 shared paper)Annamaria De Filippo (1 shared paper)Mark Basik (7 shared papers)Adriana Aguilar‐Mahecha (7 shared papers)Josiane Lafleur (5 shared papers)
- Journals
- Cancer Research (2 papers)Analytical Chemistry (2 papers)Modern Pathology (2 papers)Cancer Cell (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Cathy Lan
12 papers receiving 436 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 186
- Oncology 117
- Molecular Biology 230
- Cell Biology 44
- Pathology and Forensic Medicine 42
Countries citing papers authored by Cathy Lan
This map shows the geographic impact of Cathy Lan'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 Cathy Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Lan more than expected).
Fields of papers citing papers by Cathy Lan
This network shows the impact of papers produced by Cathy Lan. 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 Cathy Lan. The network helps show where Cathy Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cathy Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 98 | |
| 2 | 2019 | 88 | |
| 3 | 2020 | 81 | |
| 4 | 2010 | 41 | |
| 5 | 2013 | 34 | |
| 6 | 2017 | 31 | |
| 7 | 2019 | 25 | |
| 8 | 2017 | 21 | |
| 9 | 2021 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2026 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 0 |
About Cathy Lan
Cathy Lan is a scholar working on Cancer Research, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 13 papers that have together received 440 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cancer Cells and Metastasis (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers), Cancer-related gene regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (186 citations), Oncology (117 citations), Molecular Biology (230 citations), Cell Biology (44 citations) and Pathology and Forensic Medicine (42 citations). Cathy Lan has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Carlo B Gambacorti-Passerini, Hafedh Dekhil, Addolorata Maria Luce Coluccia, Daniela Benati, Annamaria De Filippo, Mark Basik, Adriana Aguilar‐Mahecha, Josiane Lafleur, Luca Cavallone and Cristiano Ferrario. Their work appears in journals such as Cancer Research, Analytical Chemistry, Modern Pathology, Cancer Cell and Cancer Epidemiology Biomarkers & Prevention.
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.