Hai Lan Lin
Impact in
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- Pancreatic and Hepatic Oncology Research
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 5
- Cancer Cells and Metastasis 3
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Qilong Chen (4 shared papers)Shufang Liu (2 shared papers)Xiyan Wang (2 shared papers)Qunying Wu (1 shared paper)Longzhe Han (1 shared paper)Jin Yang (3 shared papers)Hong‐Ke Liu (3 shared papers)Shuangping Liu (1 shared paper)
- Journals
- Journal of Pharmacy and Pharmacology (2 papers)Pathology International (2 papers)Frontiers in Genetics (1 paper)Genetics Research (1 paper)Cancer Biomarkers (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hai Lan Lin
40 papers receiving 673 citations
Peers
Comparison fields: 5 of 90
- Oncology 211
- Cancer Research 95
- Gastroenterology 18
- Pulmonary and Respiratory Medicine 102
- Pathology and Forensic Medicine 52
Countries citing papers authored by Hai Lan Lin
This map shows the geographic impact of Hai Lan 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 Hai Lan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Lan Lin more than expected).
Fields of papers citing papers by Hai Lan Lin
This network shows the impact of papers produced by Hai Lan 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 Hai Lan Lin. The network helps show where Hai Lan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Lan 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 64 | |
| 2 | 2021 | 50 | |
| 3 | 2013 | 43 | |
| 4 | 2008 | 42 | |
| 5 | 2014 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2019 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2019 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2017 | 15 |
About Hai Lan Lin
Hai Lan Lin is a scholar working on Oncology, Cancer Research, Molecular Biology, Hepatology and Surgery, having authored 40 papers that have together received 693 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Cells and Metastasis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Oncology (211 citations), Cancer Research (95 citations), Gastroenterology (18 citations), Pulmonary and Respiratory Medicine (102 citations) and Pathology and Forensic Medicine (52 citations). Hai Lan Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qilong Chen, Shufang Liu, Xiyan Wang, Qunying Wu, Longzhe Han, Jin Yang, Hong‐Ke Liu, Shuangping Liu, Hongyang Jiang and Zhenhua Lin. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Pathology International, Frontiers in Genetics, Genetics Research and Cancer Biomarkers.
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.