Lin Han
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Glycosylation and Glycoproteins Research
Papers in
-
- Glycosylation and Glycoproteins Research 17
- RNA modifications and cancer 9
- RNA Research and Splicing 6
-
- Monoclonal and Polyclonal Antibodies Research 16
- Co-authors
- Vikas Kundra (13 shared papers)Zhimeng Wu (19 shared papers)Zhifang Zhou (13 shared papers)Haofei Hong (18 shared papers)Dan Yang (3 shared papers)H. Phillip Koeffler (9 shared papers)Anand Mayakonda (5 shared papers)Jie Shi (8 shared papers)
- Journals
- PLoS ONE (7 papers)Chinese Chemical Letters (6 papers)Frontiers in Genetics (5 papers)Orphanet Journal of Rare Diseases (3 papers)Radiology (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lin Han
110 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 223
- Molecular Biology 719
- Immunology 182
- Radiology, Nuclear Medicine and Imaging 171
- Genetics 64
Countries citing papers authored by Lin Han
This map shows the geographic impact of Lin Han'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 Lin Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Han more than expected).
Fields of papers citing papers by Lin Han
This network shows the impact of papers produced by Lin Han. 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 Lin Han. The network helps show where Lin Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Han, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 94 | |
| 2 | 2017 | 77 | |
| 3 | 2009 | 73 | |
| 4 | 2017 | 71 | |
| 5 | 2019 | 47 | |
| 6 | 2022 | 38 | |
| 7 | 2012 | 38 | |
| 8 | 2005 | 35 | |
| 9 | 2017 | 35 | |
| 10 | 2019 | 31 | |
| 11 | 2011 | 30 | |
| 12 | 2022 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2019 | 27 | |
| 15 | 2022 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2020 | 19 | |
| 20 | 2012 | 19 |
About Lin Han
Lin Han is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 119 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (17 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), RNA modifications and cancer (9 papers), Genetics and Neurodevelopmental Disorders (8 papers), MicroRNA in disease regulation (8 papers), RNA Research and Splicing (6 papers), Ferroptosis and cancer prognosis (6 papers) and Cancer Research and Treatments (6 papers). The work is most often cited by research in Cancer Research (223 citations), Molecular Biology (719 citations), Immunology (182 citations), Radiology, Nuclear Medicine and Imaging (171 citations) and Genetics (64 citations). Lin Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Vikas Kundra, Zhimeng Wu, Zhifang Zhou, Haofei Hong, Dan Yang, H. Phillip Koeffler, Anand Mayakonda, Jie Shi, Rob Phillips and Philip Nelson. Their work appears in journals such as PLoS ONE, Chinese Chemical Letters, Frontiers in Genetics, Orphanet Journal of Rare Diseases and Radiology.
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.