Tim Booth
Impact in
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- Scientific Computing and Data Management
- Ecology top 10%
- Microbial Community Ecology and Physiology
Papers in
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- Genomics and Phylogenetic Studies 4
- Genetics, Bioinformatics, and Biomedical Research 3
- Biomedical Text Mining and Ontologies 2
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- Scientific Computing and Data Management 5
- Co-authors
- Dawn Field (7 shared papers)Anna Oliver (4 shared papers)Bela Tiwari (4 shared papers)Karsten Schönrogge (2 shared papers)Daniel S. Read (1 shared paper)Melanie Gibbs (2 shared papers)Joanne E. Taylor (2 shared papers)Hyun S. Gweon (3 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Environmental Microbiology (2 papers)Science (1 paper)Bioinformatics (1 paper)BioTechniques (1 paper)
- Partner nations
- United KingdomUnited StatesCroatia
In The Last Decade
Tim Booth
12 papers receiving 727 citations
Peers
Comparison fields: 5 of 119
- Information Systems and Management 105
- Ecology 209
- Oceanography 94
- Molecular Biology 350
- Plant Science 167
Countries citing papers authored by Tim Booth
This map shows the geographic impact of Tim Booth'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 Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Booth more than expected).
Fields of papers citing papers by Tim Booth
This network shows the impact of papers produced by Tim Booth. 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 Booth. The network helps show where Tim Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Booth, 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 | 2015 | 246 | |
| 2 | 2006 | 154 | |
| 3 | 2012 | 104 | |
| 4 | 2012 | 88 | |
| 5 | 2009 | 86 | |
| 6 | 2008 | 44 | |
| 7 | 2008 | 12 | |
| 8 | 2007 | 5 | |
| 9 | 2011 | 2 | |
| 10 | The response of picoplankton to ocean acidification | 2012 | 2 |
| 11 | PIPITS: An automated pipeline for analyses of fungal ITS sequences from the Illumina sequencing platform | 2015 | 1 |
| 12 | 2012 | 1 | |
| 13 | 2025 | 0 |
About Tim Booth
Tim Booth is a scholar working on Molecular Biology, Information Systems and Management, Ecology, Plant Science and Information Systems, having authored 13 papers that have together received 745 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Genomics and Phylogenetic Studies (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Biomedical Text Mining and Ontologies (2 papers), Lichen and fungal ecology (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Information Systems and Management (105 citations), Ecology (209 citations), Oceanography (94 citations), Molecular Biology (350 citations) and Plant Science (167 citations). Tim Booth has collaborated with scholars based in United Kingdom, United States and Croatia. Frequent co-authors include Dawn Field, Anna Oliver, Bela Tiwari, Karsten Schönrogge, Daniel S. Read, Melanie Gibbs, Joanne E. Taylor, Hyun S. Gweon, Robert I. Griffiths and Milo Thurston. Their work appears in journals such as BMC Bioinformatics, Environmental Microbiology, Science, Bioinformatics and BioTechniques.
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.