Lan Jin
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Air Quality and Health Impacts
Papers in
-
- Glycosylation and Glycoproteins Research 17
- RNA Interference and Gene Delivery 8
- RNA Research and Splicing 6
- Cell Biology 22
- Proteoglycans and glycosaminoglycans research 19
- Co-authors
- Shuo Gu (7 shared papers)Feijie Zhang (6 shared papers)Mark A. Kay (6 shared papers)Peter Sarnow (1 shared paper)Yong Huang (5 shared papers)Pin Yang (3 shared papers)Dušan Uhrı́n (7 shared papers)Paul N. Valdmanis (2 shared papers)
- Journals
- Carbohydrate Polymers (5 papers)Applied Microbiology and Biotechnology (4 papers)PLoS ONE (4 papers)Frontiers in Molecular Biosciences (3 papers)Obesity Surgery (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lan Jin
144 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 606
- Health, Toxicology and Mutagenesis 298
- Molecular Biology 1.4k
- Cell Biology 336
- Biotechnology 171
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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 361 | |
| 2 | 2012 | 239 | |
| 3 | 2010 | 113 | |
| 4 | 2016 | 108 | |
| 5 | 2018 | 97 | |
| 6 | 2021 | 90 | |
| 7 | 2003 | 73 | |
| 8 | 2021 | 68 | |
| 9 | 2011 | 65 | |
| 10 | 2012 | 61 | |
| 11 | 1997 | 59 | |
| 12 | 2018 | 58 | |
| 13 | 2014 | 56 | |
| 14 | 2019 | 51 | |
| 15 | 2015 | 50 | |
| 16 | 2009 | 48 | |
| 17 | 1998 | 48 | |
| 18 | 2005 | 48 | |
| 19 | 2011 | 47 | |
| 20 | 2009 | 42 |
About Lan Jin
Lan Jin is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Surgery and Oncology, having authored 147 papers that have together received 3.4k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (19 papers), Glycosylation and Glycoproteins Research (17 papers), Carbohydrate Chemistry and Synthesis (17 papers), Air Quality and Health Impacts (9 papers), RNA Interference and Gene Delivery (8 papers), RNA Research and Splicing (6 papers), MicroRNA in disease regulation (5 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Cancer Research (606 citations), Health, Toxicology and Mutagenesis (298 citations), Molecular Biology (1.4k citations), Cell Biology (336 citations) and Biotechnology (171 citations). Lan Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuo Gu, Feijie Zhang, Mark A. Kay, Peter Sarnow, Yong Huang, Pin Yang, Dušan Uhrı́n, Paul N. Valdmanis, Yue Zhang and Lili Lu. Their work appears in journals such as Carbohydrate Polymers, Applied Microbiology and Biotechnology, PLoS ONE, Frontiers in Molecular Biosciences and Obesity Surgery.
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.