Cathy Lan

550 citations
13 papers · 314 · h-index 9

Impact in

Papers in

    • Cancer Genomics and Diagnostics 9
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • RNA Research and Splicing 2

Cathy Lan

10 papers receiving 312 citations

Peers

Cathy Lan
Comparison fields: 5 of 54
  • Cancer Research 128
  • Oncology 90
  • Molecular Biology 175
  • Pathology and Forensic Medicine 33
  • Hematology 18
Replace Hiroki Ueo with:
Hiroki Ueo Japan
Janine M. Buonato United States
Kalle Ojala Finland
Björn Häupl Germany
Collin C. Collins United States
Julio Fernandez-Banet United States
Jian-chuan Xia China
Guenter Daxenbichler Austria
Anja Ruusulehto United States
Neelakantan Vijayalakshmi India
Cathy Lan relative to Hiroki Ueo Japan Hiroki Ueo's profile →
Citations per field
00.5×4.5×
Hiroki Ueo · 1×
Citations per year

Countries citing papers authored by Cathy Lan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cathy Lan Line = papers co-authored together Cathy Lan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200699
2 202074
3 201041
4 201730
5 201922
6 201718
7 20219
8 20198
9 20188
10 20235
11 20240
12 20240
13 20260

About Cathy Lan

Cathy Lan is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (4 papers), Cancer Cells and Metastasis (2 papers), Lung Cancer Treatments and Mutations (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (128 citations), Oncology (90 citations), Molecular Biology (175 citations), Pathology and Forensic Medicine (33 citations) and Hematology (18 citations). Cathy Lan has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Hafedh Dekhil, Carlo Gambacorti‐Passerini, Daniela Benati, Annamaria De Filippo, Addolorata Maria Luce Coluccia, Mark Basik, Adriana Aguilar‐Mahecha, Josiane Lafleur, Najmeh Alirezaie and Luca Cavallone. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Analytical Chemistry, Clinical Cancer Research 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.

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