Lehang Lin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
Papers in
-
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 4
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Connective Tissue Growth Factor Research 2
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- De‐Chen Lin (4 shared papers)Dong Yin (10 shared papers)Tingting Ma (1 shared paper)Yiping Zou (1 shared paper)Zi Yin (1 shared paper)Bowen Huang (1 shared paper)Yu Zhou (1 shared paper)Sheng Chen (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Cellular Signalling (1 paper)Cell Death and Differentiation (1 paper)Frontiers in Oncology (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lehang Lin
17 papers receiving 885 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 336
- Hepatology 74
- Molecular Biology 567
- Immunology 146
- Oncology 153
Countries citing papers authored by Lehang Lin
This map shows the geographic impact of Lehang Lin'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 Lehang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lehang Lin more than expected).
Fields of papers citing papers by Lehang Lin
This network shows the impact of papers produced by Lehang Lin. 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 Lehang Lin. The network helps show where Lehang Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lehang Lin, 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 | 2019 | 262 | |
| 2 | 2017 | 153 | |
| 3 | 2020 | 115 | |
| 4 | 2018 | 59 | |
| 5 | 2020 | 57 | |
| 6 | 2019 | 46 | |
| 7 | 2019 | 46 | |
| 8 | 2020 | 34 | |
| 9 | 2021 | 21 | |
| 10 | CEBPG promotes esophageal squamous cell carcinoma progression by enhancing PI3K-AKT signaling. | 2020 | 21 |
| 11 | 2015 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2013 | 15 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Lehang Lin
Lehang Lin is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 19 papers that have together received 890 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (336 citations), Hepatology (74 citations), Molecular Biology (567 citations), Immunology (146 citations) and Oncology (153 citations). Lehang Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include De‐Chen Lin, Dong Yin, Tingting Ma, Yiping Zou, Zi Yin, Bowen Huang, Yu Zhou, Sheng Chen, Jinhai Yan and H. Phillip Koeffler. Their work appears in journals such as Nucleic Acids Research, Cellular Signalling, Cell Death and Differentiation, Frontiers in Oncology and Advanced Science.
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.