Lin Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Boron and Carbon Nanomaterials Research 4
- Catalytic Processes in Materials Science 4
- Co-authors
- David Mackey (5 shared papers)Brett T. Spear (3 shared papers)Aneta Dobierzewska (2 shared papers)Zhichong Wang (13 shared papers)Yi‐hong Ding (15 shared papers)Xuan Sang (10 shared papers)Yaqi Cheng (11 shared papers)Min Gab Kim (2 shared papers)
- Journals
- The Journal of Physical Chemistry A (4 papers)Journal of Computational Chemistry (3 papers)Molecular Physics (2 papers)Physical Chemistry Chemical Physics (2 papers)Genes (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Lin Jin
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 219
- Molecular Biology 594
- Ophthalmology 73
- Hepatology 55
- Plant Science 197
Countries citing papers authored by Lin Jin
This map shows the geographic impact of Lin 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 Lin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Jin more than expected).
Fields of papers citing papers by Lin Jin
This network shows the impact of papers produced by Lin 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 Lin Jin. The network helps show where Lin Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2020 | 76 | |
| 3 | 2007 | 72 | |
| 4 | 2019 | 71 | |
| 5 | 2020 | 65 | |
| 6 | 2006 | 63 | |
| 7 | 2014 | 56 | |
| 8 | 2019 | 51 | |
| 9 | 2007 | 49 | |
| 10 | 2016 | 47 | |
| 11 | 2009 | 47 | |
| 12 | 2009 | 36 | |
| 13 | 2015 | 31 | |
| 14 | 2017 | 30 | |
| 15 | Icaritin induces apoptotic and autophagic cell death in human glioblastoma cells. | 2016 | 24 |
| 16 | 2020 | 22 | |
| 17 | 2021 | 22 | |
| 18 | 2009 | 21 | |
| 19 | 2009 | 15 | |
| 20 | 2012 | 15 |
About Lin Jin
Lin Jin is a scholar working on Molecular Biology, Materials Chemistry, Cancer Research, Atomic and Molecular Physics, and Optics and Oncology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (8 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Boron and Carbon Nanomaterials Research (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Boron Compounds in Chemistry (4 papers), Inorganic Chemistry and Materials (4 papers) and Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Cancer Research (219 citations), Molecular Biology (594 citations), Ophthalmology (73 citations), Hepatology (55 citations) and Plant Science (197 citations). Lin Jin has collaborated with scholars based in China, United States and Israel. Frequent co-authors include David Mackey, Brett T. Spear, Aneta Dobierzewska, Zhichong Wang, Yi‐hong Ding, Xuan Sang, Yaqi Cheng, Min Gab Kim, Qi Wan and Liu Yang. Their work appears in journals such as The Journal of Physical Chemistry A, Journal of Computational Chemistry, Molecular Physics, Physical Chemistry Chemical Physics and Genes.
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.