Lan Jin
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA Research and Splicing
Papers in ⓘ
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 8
- Cell Biology 24
- Proteoglycans and glycosaminoglycans research 19
- Co-authors
- Shuo Gu (7 shared papers)Mark A. Kay (6 shared papers)Feijie Zhang (6 shared papers)Peter Sarnow (1 shared paper)Yong Huang (5 shared papers)Dušan Uhrı́n (7 shared papers)Pin Yang (3 shared papers)Paul N. Valdmanis (2 shared papers)
- Journals
- Carbohydrate Polymers (5 papers)PLoS ONE (4 papers)Oncology Reports (4 papers)Applied Microbiology and Biotechnology (4 papers)Frontiers in Molecular Biosciences (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lan Jin
176 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 154
- Cancer Research 948
- Molecular Biology 1.9k
- Health, Toxicology and Mutagenesis 322
- Cell Biology 367
- Biotechnology 185
Countries citing papers authored by Lan Jin
This map shows the geographic impact of Lan Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Jin more than expected).
Fields of papers citing papers by Lan Jin
This network shows the impact of papers produced by Lan Jin. 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 Jin. The network helps show where Lan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Jin, 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 358 | |
| 2 | 2012 | 237 | |
| 3 | 2019 | 120 | |
| 4 | 2010 | 110 | |
| 5 | 2016 | 106 | |
| 6 | 2018 | 97 | |
| 7 | 2021 | 84 | |
| 8 | 2003 | 71 | |
| 9 | 2021 | 64 | |
| 10 | 2011 | 64 | |
| 11 | 2012 | 61 | |
| 12 | 1997 | 59 | |
| 13 | 2014 | 56 | |
| 14 | 2018 | 55 | |
| 15 | 2013 | 53 | |
| 16 | 2015 | 50 | |
| 17 | 2019 | 49 | |
| 18 | 2005 | 48 | |
| 19 | 2013 | 48 | |
| 20 | 2009 | 48 |
About Lan Jin
Lan Jin is a scholar working on Cancer Research, Cell Biology, Organic Chemistry, Molecular Biology and Horticulture, having authored 180 papers that have together received 3.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (20 papers), Proteoglycans and glycosaminoglycans research (19 papers), Carbohydrate Chemistry and Synthesis (18 papers), Air Quality and Health Impacts (12 papers), MicroRNA in disease regulation (12 papers), RNA Research and Splicing (9 papers), Cancer-related molecular mechanisms research (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Cancer Research (948 citations), Molecular Biology (1.9k citations), Health, Toxicology and Mutagenesis (322 citations), Cell Biology (367 citations) and Biotechnology (185 citations). Lan Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuo Gu, Mark A. Kay, Feijie Zhang, Peter Sarnow, Yong Huang, Dušan Uhrı́n, Pin Yang, Paul N. Valdmanis, Yue Zhang and Yongming Qiu. Their work appears in journals such as Carbohydrate Polymers, PLoS ONE, Oncology Reports, Applied Microbiology and Biotechnology and Frontiers in Molecular Biosciences.
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.