Leen Liao

445 citations
20 papers · 306 · h-index 9

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Colorectal Cancer Treatments and Studies
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Genomics and Diagnostics

Papers in

Leen Liao

15 papers receiving 302 citations

Peers

Leen Liao
Comparison fields: 5 of 42
  • Oncology 135
  • Cancer Research 46
  • Pathology and Forensic Medicine 53
  • Immunology 45
  • Hepatology 16
Replace Giacomo Mazzoli with:
Giacomo Mazzoli Italy
Thiru Prasanna Australia
Yuki Nakagami Japan
Yonghua Cai China
Setareh Samimi Canada
Yibo Cai China
Ana-Maria Todosi France
Chaudhary E. Ahmad Canada
Jinqi You China
Margherita Turinetto Italy
Leen Liao relative to Giacomo Mazzoli Italy Giacomo Mazzoli's profile →
Citations per field
00.5×1.5×2.1×
Giacomo Mazzoli · 1×
Citations per year

Countries citing papers authored by Leen Liao

Since Specialization
Citations

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

Fields of papers citing papers by Leen Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leen Liao. 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 Leen Liao. The network helps show where Leen Liao may publish in the future.

Co-authors

The 25 scholars most cited alongside Leen Liao, 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 Leen Liao Line = papers co-authored together Leen Liao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2022122
2 202152
3 202225
4 202018
5 202418
6 202517
7 202315
8 202313
9 202010
10 20208
11 20232
12 20242
13 20252
14 20221
15 20251
16 20240
17 20250
18 20250
19 20260
20 20260

About Leen Liao

Leen Liao is a scholar working on Pathology and Forensic Medicine, Hepatology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 306 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Ferroptosis and cancer prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer-related molecular mechanisms research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Oncology (135 citations), Cancer Research (46 citations), Pathology and Forensic Medicine (53 citations), Immunology (45 citations) and Hepatology (16 citations). Leen Liao has collaborated with scholars based in China and United States. Frequent co-authors include Pei-Rong Ding, 潘志忠, Jing-Hua Tang, Kai Han, Binyi Xiao, Ling-Heng Kong, Jiang Wu, Qiaoqi Sui, Dandan Hu and Yun Zheng. Their work appears in journals such as Diseases of the Colon & Rectum, Clinical & Translational Oncology, Cancer Letters, Journal of the National Comprehensive Cancer Network and Cancer Research.

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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