Tim Beck
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
-
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
Papers in
-
- Biomedical Text Mining and Ontologies 14
- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 4
- Genetics 7
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 3
- Co-authors
- Anthony J. Brookes (9 shared papers)Robert C. Free (3 shared papers)Robert K. Hastings (1 shared paper)Ann‐Marie Mallon (4 shared papers)John M. Hancock (4 shared papers)Chris Mungall (2 shared papers)Paul N. Schofield (2 shared papers)Andrew Blake (3 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Human Mutation (3 papers)Epigenetics & Chromatin (1 paper)American Journal of Otolaryngology (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tim Beck
29 papers receiving 733 citations
Peers
Comparison fields: 5 of 109
- Genetics 238
- Molecular Biology 420
- Neurology 41
- Cancer Research 62
- Biological Psychiatry 8
Countries citing papers authored by Tim Beck
This map shows the geographic impact of Tim Beck'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 Tim Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Beck more than expected).
Fields of papers citing papers by Tim Beck
This network shows the impact of papers produced by Tim Beck. 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 Tim Beck. The network helps show where Tim Beck may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Beck, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 162 | |
| 2 | 2013 | 125 | |
| 3 | 2017 | 58 | |
| 4 | 2019 | 57 | |
| 5 | 2009 | 53 | |
| 6 | 2019 | 48 | |
| 7 | 2009 | 39 | |
| 8 | 2022 | 26 | |
| 9 | 2012 | 26 | |
| 10 | 2022 | 22 | |
| 11 | 2016 | 21 | |
| 12 | 2015 | 19 | |
| 13 | 2015 | 19 | |
| 14 | 2009 | 16 | |
| 15 | 2009 | 14 | |
| 16 | 2022 | 9 | |
| 17 | 2012 | 9 | |
| 18 | 2022 | 5 | |
| 19 | 1993 | 4 | |
| 20 | 2023 | 3 |
About Tim Beck
Tim Beck is a scholar working on Molecular Biology, Genetics, Information Systems and Management, Artificial Intelligence and Health Information Management, having authored 30 papers that have together received 748 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (4 papers), Scientific Computing and Data Management (3 papers), Genomics and Rare Diseases (3 papers), Topic Modeling (3 papers), Genetic Associations and Epidemiology (3 papers) and Thyroid and Parathyroid Surgery (2 papers). The work is most often cited by research in Genetics (238 citations), Molecular Biology (420 citations), Neurology (41 citations), Cancer Research (62 citations) and Biological Psychiatry (8 citations). Tim Beck has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Anthony J. Brookes, Robert C. Free, Robert K. Hastings, Ann‐Marie Mallon, John M. Hancock, Chris Mungall, Paul N. Schofield, Andrew Blake, Vasilevsky Nicole and Drashtti Vasant. Their work appears in journals such as Nucleic Acids Research, Human Mutation, Epigenetics & Chromatin, American Journal of Otolaryngology and Acta Neuropathologica Communications.
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.