Cathy Lan

536 citations
10 papers · 296 · h-index 9

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cancer Genomics and Diagnostics 6

Cathy Lan

10 papers receiving 294 citations

Peers

Cathy Lan
Comparison fields: 5 of 56
  • Cancer Research 125
  • Oncology 102
  • Molecular Biology 184
  • Pathology and Forensic Medicine 48
  • Cell Biology 29
Replace Tang Bu-jian with:
Tang Bu-jian China
Janine M. Buonato United States
Kalle Ojala Finland
Hiroki Ueo Japan
Eun‐Kyoung Breuer United States
Björn Häupl Germany
Neelakantan Vijayalakshmi India
Carmen Oi‐Ning Leung Hong Kong
Wolong Zhou China
Jian-chuan Xia China
Cathy Lan relative to Tang Bu-jian China Tang Bu-jian's profile →
Citations per field
00.5×1.5×2.4×
Tang Bu-jian · 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

10 of 10 papers shown
#Work
1 200694
2 202065
3 201041
4 201729
5 201921
6 201717
7 20219
8 20188
9 20198
10 20234

About Cathy Lan

Cathy Lan is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 296 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related gene regulation (2 papers), RNA Research and Splicing (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (125 citations), Oncology (102 citations), Molecular Biology (184 citations), Pathology and Forensic Medicine (48 citations) and Cell Biology (29 citations). Cathy Lan has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Carlo Gambacorti‐Passerini, Hafedh Dekhil, Daniela Benati, Addolorata Maria Luce Coluccia, Annamaria De Filippo, Mark Basik, Adriana Aguilar‐Mahecha, Josiane Lafleur, Luca Cavallone and Najmeh Alirezaie. Their work appears in journals such as Cancer Research, Analytical Chemistry, Scientific Reports, Modern Pathology 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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