Lan Le

664 citations
17 papers · 238 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

Lan Le

15 papers receiving 234 citations

Peers

Lan Le
Comparison fields: 5 of 65
  • Cancer Research 67
  • Oncology 89
  • Developmental Neuroscience 10
  • Pulmonary and Respiratory Medicine 78
  • Immunology 47
Replace Shu‐Yung Lin with:
Shu‐Yung Lin Taiwan
Yingjie Wu China
Bambang Hermani Indonesia
Han Han China
Sangeetha Prabhakaran United States
Lishu Zhao China
Qiaoqiao Huang China
Talal El Zarif United States
Gianmarco Lugli Italy
Shôichi Ihara Japan
Lan Le relative to Shu‐Yung Lin Taiwan Shu‐Yung Lin's profile →
Citations per field
00.5×10×
Shu‐Yung Lin · 1×
Citations per year

Countries citing papers authored by Lan Le

Since Specialization
Citations

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

Fields of papers citing papers by Lan Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
G2M checkpoint pathway alone is associated with drug response and survival among cell proliferation-related pathways in pancreatic cancer.
202145
2 202038
3 202133
4 202123
5 202221
6 202217
7 200513
8 202013
9 20239
10 20238
11 20246
12 20185
13 20243
14 20192
15 20212
16 20210
17 20210

About Lan Le

Lan Le is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Surgery, having authored 17 papers that have together received 238 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Cancer-related molecular mechanisms research (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Cancer Research (67 citations), Oncology (89 citations), Developmental Neuroscience (10 citations), Pulmonary and Respiratory Medicine (78 citations) and Immunology (47 citations). Lan Le has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Masanori Oshi, Yoshihisa Tokumaru, Kazuaki Takabe, Li Yan, Itaru Endo, Ryusei Matsuyama, Ankit Patel, Manabu Futamura, Nobuhisa Matsuhashi and Eriko Katsuta. Their work appears in journals such as Journal of Clinical Oncology, Cancers, Hospital Pediatrics, Journal of Thoracic Oncology and British Journal of Anaesthesia.

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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