Guanming Wu
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- TGF-β signaling in diseases
- Epigenetics and DNA Methylation
Papers in
-
- Bioinformatics and Genomic Networks 25
- Biomedical Text Mining and Ontologies 8
- Microbial Metabolic Engineering and Bioproduction 8
- Gene expression and cancer classification 5
- vaccines and immunoinformatics approaches 4
- Machine Learning in Bioinformatics 3
-
- Computational Drug Discovery Methods 6
- Co-authors
- Lincoln SteinXin FengPeter D’EustachioDavid CroftImre VästrikEwan BirneyBijay JassalLisa Matthews
- Journals
- Genome biology (3 papers)Frontiers in Immunology (2 papers)Cancers (2 papers)Nucleic Acids Research (2 papers)Database (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Guanming Wu
44 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 682
- Molecular Biology 3.1k
- Computational Theory and Mathematics 404
- Hepatology 132
- Oncology 417
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 29 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 169 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 41 | |
| 12 | 2015 | 57 | |
| 13 | 2015 | 234 | |
| 14 | 2014 | 30 | |
| 15 | 2011 | 333 | |
| 16 | 2010 | 172 | |
| 17 | A human functional protein interaction network and its application to cancer data analysis Hit paper breakdown → | 2010 | 490 |
| 18 | 2007 | 2 | |
| 19 | 2003 | 40 | |
| 20 | 2002 | 7 |
About Guanming Wu
Guanming Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Pharmacology and Immunology, having authored 46 papers that have together received 3.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Biomedical Text Mining and Ontologies (8 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Computational Drug Discovery Methods (6 papers), Gene expression and cancer classification (5 papers), Microbial Natural Products and Biosynthesis (4 papers), vaccines and immunoinformatics approaches (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Cancer Research (682 citations), Molecular Biology (3.1k citations), Computational Theory and Mathematics (404 citations), Hepatology (132 citations) and Oncology (417 citations). Guanming Wu has collaborated with scholars based in United States, Canada and United Kingdom. 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, Frontiers in Immunology, Cancers, Nucleic Acids Research and Database.
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.