Nan Su
Impact in
- Molecular Biology top 2%
- Fibroblast Growth Factor Research
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- RNA modifications and cancer
- Cancer Research top 2%
Papers in ⓘ
-
- Fibroblast Growth Factor Research 19
- Cancer-related gene regulation 6
- Molecular Biology Techniques and Applications 6
- Bone Metabolism and Diseases 6
- Co-authors
- Yuling Luo (8 shared papers)Xingyong Wu (6 shared papers)Son Bui (5 shared papers)Xiao-Jun Ma (2 shared papers)John J. Flanagan (1 shared paper)Michael S. Kilberg (3 shared papers)Jixiu Shan (1 shared paper)Min Jin (7 shared papers)
- Journals
- International Journal of Biological Sciences (5 papers)Human Molecular Genetics (3 papers)Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)Cardiovascular Drugs and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Nan Su
106 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 3.6k
- Cancer Research 781
- Oncology 1.0k
- Genetics 1.0k
- Cell Biology 606
Countries citing papers authored by Nan Su
This map shows the geographic impact of Nan Su'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 Nan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Su more than expected).
Fields of papers citing papers by Nan Su
This network shows the impact of papers produced by Nan Su. 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 Nan Su. The network helps show where Nan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Su, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNAscope Hit paper breakdown → | 2011 | 1827 |
| 2 | The intestinal stem cell markers Bmi1 and Lgr5 identify two functionally distinct populations Hit paper breakdown → | 2011 | 634 |
| 3 | FGF/FGFR signaling in health and disease Hit paper breakdown → | 2020 | 551 |
| 4 | 2009 | 480 | |
| 5 | 2014 | 229 | |
| 6 | 2019 | 144 | |
| 7 | 2008 | 144 | |
| 8 | 2011 | 141 | |
| 9 | 2007 | 115 | |
| 10 | 2014 | 115 | |
| 11 | 2006 | 101 | |
| 12 | 2009 | 98 | |
| 13 | 2019 | 93 | |
| 14 | 2010 | 81 | |
| 15 | 2019 | 79 | |
| 16 | 2016 | 77 | |
| 17 | 2007 | 73 | |
| 18 | 2016 | 62 | |
| 19 | 2013 | 59 | |
| 20 | 2016 | 58 |
About Nan Su
Nan Su is a scholar working on Complementary and Manual Therapy, Molecular Biology, Genetics, Cancer Research and Oncology, having authored 112 papers that have together received 6.4k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (19 papers), Connective tissue disorders research (12 papers), Cancer-related gene regulation (6 papers), Molecular Biology Techniques and Applications (6 papers), Bone Metabolism and Diseases (6 papers), Asthma and respiratory diseases (5 papers), Immune cells in cancer (5 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Cancer Research (781 citations), Oncology (1.0k citations), Genetics (1.0k citations) and Cell Biology (606 citations). Nan Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuling Luo, Xingyong Wu, Son Bui, Xiao-Jun Ma, John J. Flanagan, Michael S. Kilberg, Jixiu Shan, Min Jin, Lin Chen and Michael S. Kilberg. Their work appears in journals such as International Journal of Biological Sciences, Human Molecular Genetics, Scientific Reports, Journal of Biological Chemistry and Cardiovascular Drugs and Therapy.
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.