Liande Li
Impact in
- Endocrinology top 5%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 8
- Fungal and yeast genetics research 5
- RNA regulation and disease 3
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
- Protist diversity and phylogeny 2
- RNA Interference and Gene Delivery 2
- Co-authors
- David R. CoreyKatherine A. BorkovichKeith T. GagnonBethany A. JanowskiYi LiuYongjun ChuGyungsoon ParkSvetlana Kryštofová
- Journals
- Cell Reports (2 papers)PLoS Genetics (2 papers)Eukaryotic Cell (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Liande Li
22 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Endocrinology 129
- Cancer Research 348
- Molecular Biology 1.3k
- Plant Science 598
- Pharmacology 202
Countries citing papers authored by Liande Li
This map shows the geographic impact of Liande Li'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 Liande Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liande Li more than expected).
Fields of papers citing papers by Liande Li
This network shows the impact of papers produced by Liande Li. 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 Liande Li. The network helps show where Liande Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liande Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 1 | |
| 2 | 2017 | 37 | |
| 3 | 2016 | 44 | |
| 4 | 2016 | 68 | |
| 5 | 2015 | 21 | |
| 6 | 2015 | 2 | |
| 7 | 2015 | 21 | |
| 8 | 2014 | 143 | |
| 9 | 2014 | 300 | |
| 10 | 2013 | 31 | |
| 11 | 2013 | 28 | |
| 12 | 2012 | 25 | |
| 13 | 2011 | 64 | |
| 14 | 2011 | 51 | |
| 15 | 2011 | 45 | |
| 16 | 2010 | 272 | |
| 17 | 2010 | 77 | |
| 18 | 2007 | 48 | |
| 19 | 2007 | 255 | |
| 20 | 2006 | 64 |
About Liande Li
Liande Li is a scholar working on Endocrinology, Molecular Biology, Cell Biology, Plant Science and Pharmacology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Fungal and yeast genetics research (5 papers), Plant Disease Resistance and Genetics (4 papers), RNA regulation and disease (3 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Protist diversity and phylogeny (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Endocrinology (129 citations), Cancer Research (348 citations), Molecular Biology (1.3k citations), Plant Science (598 citations) and Pharmacology (202 citations). Liande Li has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include David R. Corey, Katherine A. Borkovich, Keith T. Gagnon, Bethany A. Janowski, Yi Liu, Yongjun Chu, Gyungsoon Park, Svetlana Kryštofová, Sara J. Wright and Zhihong Xue. Their work appears in journals such as Cell Reports, PLoS Genetics, Eukaryotic Cell, Scientific Reports and Nature Communications.
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.