Shangqin Guo
- Hematology top 1%
- Acute Myeloid Leukemia Research 4
- Cancer Research top 2%
- MicroRNA in disease regulation 5
- Genetics top 2%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 11
- CRISPR and Genetic Engineering 11
- RNA Interference and Gene Delivery 5
- Extracellular vesicles in disease 3
-
- Tea Polyphenols and Effects 4
-
- Cell Image Analysis Techniques 4
- Co-authors
- Gail E. SonensheinDavid T. ScaddenMatthias MerkenschlagerBenjamin L. EbertCharles P. LinSiyi ZhangRobert P. HasserjianSiddhartha Mukherjee
- Cited by
- HematologyCancer ResearchGenetics
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shangqin Guo
34 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Hematology 737
- Cancer Research 732
- Genetics 370
- Applied Microbiology and Biotechnology 64
- Molecular Biology 1.5k
Countries citing papers authored by Shangqin Guo
This map shows the geographic impact of Shangqin Guo'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 Shangqin Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangqin Guo more than expected).
Fields of papers citing papers by Shangqin Guo
This network shows the impact of papers produced by Shangqin Guo. 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 Shangqin Guo. The network helps show where Shangqin Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shangqin Guo, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 27 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 41 | |
| 10 | 2018 | 48 | |
| 11 | 2015 | 12 | |
| 12 | 2014 | 137 | |
| 13 | 2013 | 28 | |
| 14 | 2012 | 39 | |
| 15 | 2010 | 260 | |
| 16 | Bone progenitor dysfunction induces myelodysplasia and secondary leukaemiabreakdown → | 2010 | 798 |
| 17 | 2008 | 263 | |
| 18 | 2006 | 31 | |
| 19 | 2005 | 27 | |
| 20 | Green tea polyphenol epigallocatechin-3 gallate inhibits Her-2/neu signaling, proliferation, and transformed phenotype of breast cancer cells. | 2002 | 178 |
About Shangqin Guo
Shangqin Guo is a scholar working on Biophysics, Applied Microbiology and Biotechnology and Cancer Research, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (11 papers), RNA Interference and Gene Delivery (5 papers), MicroRNA in disease regulation (5 papers), Acute Myeloid Leukemia Research (4 papers), Tea Polyphenols and Effects (4 papers), Cell Image Analysis Techniques (4 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Hematology (737 citations), Cancer Research (732 citations) and Genetics (370 citations). Shangqin Guo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gail E. Sonenshein, David T. Scadden, Matthias Merkenschlager, Benjamin L. Ebert, Charles P. Lin, Siyi Zhang, Robert P. Hasserjian, Siddhartha Mukherjee, Fátima Al‐Shahrour and Marc H.G.P. Raaijmakers. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.