Dawei Guo
Impact in
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- Macrophage Migration Inhibitory Factor
- Immune Cell Function and Interaction
Papers in
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- RNA Research and Splicing 2
- RNA Interference and Gene Delivery 2
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 3
- Co-authors
- Xiaofeng Jiang (10 shared papers)Wenyu Sun (10 shared papers)Jian Liang (4 shared papers)Siyang Zhang (4 shared papers)Orson L. Anderson (1 shared paper)Koji Masuda (1 shared paper)Lei Zhu (3 shared papers)Xueshan Qiu (3 shared papers)
- Journals
- Apmis (2 papers)Transplant Immunology (2 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2 papers)BMC Cancer (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dawei Guo
38 papers receiving 499 citations
Peers
Comparison fields: 5 of 108
- Transplantation 13
- Immunology 93
- Cellular and Molecular Neuroscience 68
- Cancer Research 43
- Neurology 21
Countries citing papers authored by Dawei Guo
This map shows the geographic impact of Dawei 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 Dawei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Guo more than expected).
Fields of papers citing papers by Dawei Guo
This network shows the impact of papers produced by Dawei 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 Dawei Guo. The network helps show where Dawei Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 47 | |
| 2 | 2011 | 42 | |
| 3 | 2014 | 36 | |
| 4 | 2016 | 32 | |
| 5 | 2014 | 28 | |
| 6 | 1995 | 27 | |
| 7 | 2024 | 27 | |
| 8 | 2012 | 26 | |
| 9 | 2010 | 24 | |
| 10 | 2012 | 22 | |
| 11 | 2008 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2024 | 16 | |
| 14 | 2011 | 15 | |
| 15 | 2023 | 15 | |
| 16 | 2016 | 13 | |
| 17 | 2013 | 11 | |
| 18 | 1996 | 11 | |
| 19 | 2014 | 8 | |
| 20 | 2023 | 8 |
About Dawei Guo
Dawei Guo is a scholar working on Molecular Biology, Immunology, Surgery, Oncology and Electrical and Electronic Engineering, having authored 40 papers that have together received 508 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Nerve injury and regeneration (2 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers), Video Surveillance and Tracking Methods (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Transplantation (13 citations), Immunology (93 citations), Cellular and Molecular Neuroscience (68 citations), Cancer Research (43 citations) and Neurology (21 citations). Dawei Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaofeng Jiang, Wenyu Sun, Jian Liang, Siyang Zhang, Orson L. Anderson, Koji Masuda, Lei Zhu, Xueshan Qiu, Qingfu Zhang and Li Wan. Their work appears in journals such as Apmis, Transplant Immunology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, BMC Cancer and Scientific Reports.
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.