Desi Shang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
Papers in
-
- RNA modifications and cancer 20
- Bioinformatics and Genomic Networks 19
- RNA Research and Splicing 15
- Genomics and Chromatin Dynamics 8
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- Cancer-related molecular mechanisms research 17
- MicroRNA in disease regulation 8
- Co-authors
- Xia Li (27 shared papers)Yanjun Xu (29 shared papers)Chunquan Li (33 shared papers)Junwei Han (19 shared papers)Haixiu Yang (22 shared papers)Chunlong Zhang (22 shared papers)Qianlan Yao (12 shared papers)Zeguo Sun (10 shared papers)
In The Last Decade
Desi Shang
59 papers receiving 915 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 366
- Molecular Biology 685
- Drug Discovery 1
- Computational Theory and Mathematics 77
- Pulmonary and Respiratory Medicine 76
Countries citing papers authored by Desi Shang
This map shows the geographic impact of Desi Shang'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 Desi Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Desi Shang more than expected).
Fields of papers citing papers by Desi Shang
This network shows the impact of papers produced by Desi Shang. 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 Desi Shang. The network helps show where Desi Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Desi Shang, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | 2013 | 50 | |
| 3 | 2018 | 46 | |
| 4 | 2019 | 41 | |
| 5 | 2015 | 41 | |
| 6 | 2020 | 39 | |
| 7 | 2011 | 37 | |
| 8 | 2020 | 35 | |
| 9 | 2014 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2012 | 25 | |
| 12 | 2015 | 25 | |
| 13 | 2013 | 23 | |
| 14 | 2014 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2017 | 22 | |
| 17 | 2014 | 20 | |
| 18 | 2023 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2023 | 18 |
About Desi Shang
Desi Shang is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Oncology, having authored 62 papers that have together received 923 indexed citations. Recurring topics across this work include RNA modifications and cancer (20 papers), Bioinformatics and Genomic Networks (19 papers), Cancer-related molecular mechanisms research (17 papers), RNA Research and Splicing (15 papers), Computational Drug Discovery Methods (11 papers), Genomics and Chromatin Dynamics (8 papers), MicroRNA in disease regulation (8 papers) and Ferroptosis and cancer prognosis (7 papers). The work is most often cited by research in Cancer Research (366 citations), Molecular Biology (685 citations), Drug Discovery (1 citation), Computational Theory and Mathematics (77 citations) and Pulmonary and Respiratory Medicine (76 citations). Desi Shang has collaborated with scholars based in China and Canada. Frequent co-authors include Xia Li, Yanjun Xu, Chunquan Li, Junwei Han, Haixiu Yang, Chunlong Zhang, Qianlan Yao, Zeguo Sun, Yunpeng Zhang and Fei Su. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Molecular BioSystems, PLoS ONE and Oncotarget.
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.