Lan Le
Impact in
-
- Cancer-related molecular mechanisms research
Papers in
-
- Ferroptosis and cancer prognosis 5
- Oncology 6
- Pancreatic and Hepatic Oncology Research 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Kazuaki Takabe (9 shared papers)Masanori Oshi (9 shared papers)Yoshihisa Tokumaru (9 shared papers)Li Yan (8 shared papers)Itaru Endo (7 shared papers)Ryusei Matsuyama (6 shared papers)Manabu Futamura (3 shared papers)Ankit Patel (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Frontiers in Public Health (1 paper)Chemical Science (1 paper)Journal of Thoracic Oncology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesJapanThailand
In The Last Decade
Lan Le
15 papers receiving 247 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 51
- Critical Care and Intensive Care Medicine 12
- Oncology 68
- Immunology 40
- Pulmonary and Respiratory Medicine 50
Countries citing papers authored by Lan Le
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | G2M checkpoint pathway alone is associated with drug response and survival among cell proliferation-related pathways in pancreatic cancer. | 2021 | 46 |
| 2 | 2020 | 38 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 23 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 17 | |
| 7 | 2005 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2018 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2021 | 0 | |
| 18 | 2021 | 0 |
About Lan Le
Lan Le is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Artificial Intelligence, having authored 18 papers that have together received 251 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer-related molecular mechanisms research (2 papers), Imbalanced Data Classification Techniques (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (51 citations), Critical Care and Intensive Care Medicine (12 citations), Oncology (68 citations), Immunology (40 citations) and Pulmonary and Respiratory Medicine (50 citations). Lan Le has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Kazuaki Takabe, Masanori Oshi, Yoshihisa Tokumaru, Li Yan, Itaru Endo, Ryusei Matsuyama, Manabu Futamura, Ankit Patel, Eriko Katsuta and Nobuhisa Matsuhashi. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Public Health, Chemical Science, Journal of Thoracic Oncology and International Journal of Molecular Sciences.
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.