Timothy Hancock
Impact in
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- Cancer-related molecular mechanisms research
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- Viral Infections and Vectors
Papers in
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- Bioinformatics and Genomic Networks 7
- Microbial Metabolic Engineering and Bioproduction 4
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 2
- Metabolomics and Mass Spectrometry Studies 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Hiroshi Mamitsuka (10 shared papers)Danny H. Coomans (3 shared papers)Yvan Vander Heyden (1 shared paper)D.L. Massart (1 shared paper)Éric Deconinck (1 shared paper)Ichigaku Takigawa (3 shared papers)Yayoi Natsume‐Kitatani (1 shared paper)David A. duVerle (1 shared paper)
In The Last Decade
Timothy Hancock
20 papers receiving 333 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 50
- Infectious Diseases 53
- Computational Theory and Mathematics 48
- Epidemiology 65
- Virology 9
Countries citing papers authored by Timothy Hancock
This map shows the geographic impact of Timothy Hancock'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 Timothy Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Hancock more than expected).
Fields of papers citing papers by Timothy Hancock
This network shows the impact of papers produced by Timothy Hancock. 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 Timothy Hancock. The network helps show where Timothy Hancock may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy Hancock, 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 | 2005 | 107 | |
| 2 | 2011 | 77 | |
| 3 | 2016 | 38 | |
| 4 | 2017 | 23 | |
| 5 | 2010 | 19 | |
| 6 | 2018 | 17 | |
| 7 | 2012 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2005 | 12 | |
| 10 | 2010 | 9 | |
| 11 | 2012 | 5 | |
| 12 | 2009 | 4 | |
| 13 | 2013 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2009 | 2 | |
| 16 | 2001 | 1 | |
| 17 | Boosted Optimization for Network Classification | 2010 | 1 |
| 18 | Supervised hierarchical clustering using CART | 2003 | 1 |
| 19 | 2010 | 1 | |
| 20 | 2012 | 1 |
About Timothy Hancock
Timothy Hancock is a scholar working on Molecular Biology, Analytical Chemistry, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 20 papers that have together received 349 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Data Mining Algorithms and Applications (2 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Cancer Research (50 citations), Infectious Diseases (53 citations), Computational Theory and Mathematics (48 citations), Epidemiology (65 citations) and Virology (9 citations). Timothy Hancock has collaborated with scholars based in Japan, Australia and France. Frequent co-authors include Hiroshi Mamitsuka, Danny H. Coomans, Yvan Vander Heyden, D.L. Massart, Éric Deconinck, Ichigaku Takigawa, Yayoi Natsume‐Kitatani, David A. duVerle, Hume Ernest Field and Lin‐Fa Wang. Their work appears in journals such as Bioinformatics, Emerging infectious diseases, IEEE Transactions on Neural Networks and Learning Systems, Genetics Selection Evolution and Briefings in Bioinformatics.
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.