Jing Luan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Extracellular vesicles in disease
- RNA Research and Splicing
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 8
- RNA modifications and cancer 5
- Circular RNAs in diseases 5
- Genetics 22
- Genetic and rare skin diseases. 7
- Co-authors
- Yazhou Cui (37 shared papers)Jinxiang Han (34 shared papers)Xiaoyan Zhou (10 shared papers)Haiying Li (4 shared papers)Ann Richmond (4 shared papers)Robert M. Strieter (3 shared papers)Marie D. Burdick (2 shared papers)Rebecca L. Shattuck-Brandt (2 shared papers)
- Journals
- Stem Cell Research (10 papers)BioScience Trends (4 papers)Blood (3 papers)Journal of Leukocyte Biology (3 papers)Drug Discoveries & Therapeutics (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Luan
88 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 591
- Molecular Biology 1.3k
- Immunology 346
- Oncology 407
- Immunology and Allergy 89
Countries citing papers authored by Jing Luan
This map shows the geographic impact of Jing Luan'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 Jing Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Luan more than expected).
Fields of papers citing papers by Jing Luan
This network shows the impact of papers produced by Jing Luan. 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 Jing Luan. The network helps show where Jing Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Luan, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 252 | |
| 2 | 2016 | 189 | |
| 3 | 1997 | 180 | |
| 4 | 2000 | 155 | |
| 5 | 2014 | 139 | |
| 6 | 2018 | 83 | |
| 7 | 2018 | 73 | |
| 8 | 2015 | 70 | |
| 9 | 2017 | 67 | |
| 10 | 2015 | 66 | |
| 11 | 2002 | 64 | |
| 12 | 2006 | 64 | |
| 13 | 2021 | 55 | |
| 14 | 2005 | 52 | |
| 15 | 2018 | 51 | |
| 16 | 2013 | 49 | |
| 17 | 2001 | 43 | |
| 18 | 2019 | 42 | |
| 19 | 2016 | 41 | |
| 20 | 2013 | 41 |
About Jing Luan
Jing Luan is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Oncology, having authored 97 papers that have together received 2.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (8 papers), MicroRNA in disease regulation (7 papers), Genetic and rare skin diseases. (7 papers), Chemokine receptors and signaling (6 papers), RNA modifications and cancer (5 papers), Bone and Dental Protein Studies (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (591 citations), Molecular Biology (1.3k citations), Immunology (346 citations), Oncology (407 citations) and Immunology and Allergy (89 citations). Jing Luan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yazhou Cui, Jinxiang Han, Xiaoyan Zhou, Haiying Li, Ann Richmond, Robert M. Strieter, Marie D. Burdick, Rebecca L. Shattuck-Brandt, Jianguo Du and Ross C. Hardison. Their work appears in journals such as Stem Cell Research, BioScience Trends, Blood, Journal of Leukocyte Biology and Drug Discoveries & Therapeutics.
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.