Guanming Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- TGF-β signaling in diseases
Papers in
-
- Bioinformatics and Genomic Networks 24
- Biomedical Text Mining and Ontologies 9
- Microbial Metabolic Engineering and Bioproduction 8
- Gene expression and cancer classification 4
- Gene Regulatory Network Analysis 3
-
- Computational Drug Discovery Methods 6
- Co-authors
- Lincoln Stein (19 shared papers)Xin Feng (1 shared paper)Peter D’Eustachio (15 shared papers)David Croft (8 shared papers)Imre Västrik (9 shared papers)Ewan Birney (9 shared papers)Bijay Jassal (9 shared papers)Lisa Matthews (11 shared papers)
- Journals
- Genome biology (3 papers)Nucleic Acids Research (2 papers)Database (2 papers)Cancers (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Guanming Wu
46 papers receiving 4.0k citations
Guanming Wu's Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 591
- Molecular Biology 2.8k
- Computational Theory and Mathematics 338
- Hepatology 118
- Oncology 378
Countries citing papers authored by Guanming Wu
This map shows the geographic impact of Guanming Wu'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 Guanming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanming Wu more than expected).
Fields of papers citing papers by Guanming Wu
This network shows the impact of papers produced by Guanming Wu. 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 Guanming Wu. The network helps show where Guanming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanming Wu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reactome knowledgebase of human biological pathways and processes Hit paper breakdown → | 2008 | 666 |
| 2 | 2010 | 493 | |
| 3 | 2007 | 458 | |
| 4 | 2011 | 339 | |
| 5 | 1994 | 279 | |
| 6 | 2015 | 235 | |
| 7 | 2012 | 213 | |
| 8 | 2018 | 174 | |
| 9 | 2010 | 173 | |
| 10 | 2006 | 129 | |
| 11 | 2012 | 117 | |
| 12 | 2017 | 88 | |
| 13 | 2015 | 58 | |
| 14 | 2019 | 51 | |
| 15 | 2013 | 46 | |
| 16 | 2016 | 42 | |
| 17 | 2008 | 39 | |
| 18 | 2003 | 39 | |
| 19 | 2023 | 37 | |
| 20 | 2017 | 37 |
About Guanming Wu
Guanming Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Epidemiology, Pharmacology and Oncology, having authored 48 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (24 papers), Biomedical Text Mining and Ontologies (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Computational Drug Discovery Methods (6 papers), Gene expression and cancer classification (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Cancer Cells and Metastasis (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Cancer Research (591 citations), Molecular Biology (2.8k citations), Computational Theory and Mathematics (338 citations), Hepatology (118 citations) and Oncology (378 citations). Guanming Wu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Lincoln Stein, Xin Feng, Peter D’Eustachio, David Croft, Imre Västrik, Ewan Birney, Bijay Jassal, Lisa Matthews, Marc Gillespie and Henning Hermjakob. Their work appears in journals such as Genome biology, Nucleic Acids Research, Database, Cancers and Frontiers in Immunology.
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.