Timothy M. Errington
Impact in
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- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
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- Scientific Computing and Data Management
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- DNA Repair Mechanisms 3
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- Meta-analysis and systematic reviews 11
- scientometrics and bibliometrics research 5
- Co-authors
- Brian A. Nosek (21 shared papers)Elizabeth Iorns (20 shared papers)Deborah A. Lannigan (3 shared papers)Jeffrey A. Smith (3 shared papers)Courtney K. Soderberg (6 shared papers)Nicole Perfito (19 shared papers)Alexandria Denis (16 shared papers)Celeste E. Poteet-Smith (1 shared paper)
- Journals
- eLife (13 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)Cancer Research (2 papers)PLoS Biology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Timothy M. Errington
49 papers receiving 2.2k citations
Timothy M. Errington's Hit Papers
Peers
Comparison fields: 5 of 176
- Statistics, Probability and Uncertainty 536
- Information Systems and Management 282
- Health Informatics 23
- History and Philosophy of Science 71
- General Decision Sciences 26
Countries citing papers authored by Timothy M. Errington
This map shows the geographic impact of Timothy M. Errington'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 M. Errington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy M. Errington more than expected).
Fields of papers citing papers by Timothy M. Errington
This network shows the impact of papers produced by Timothy M. Errington. 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 M. Errington. The network helps show where Timothy M. Errington may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy M. Errington, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Badges to Acknowledge Open Practices: A Simple, Low-Cost, Effective Method for Increasing Transparency Hit paper breakdown → | 2016 | 373 |
| 2 | 2005 | 246 | |
| 3 | 2020 | 212 | |
| 4 | 2014 | 186 | |
| 5 | Investigating the replicability of preclinical cancer biology Hit paper breakdown → | 2021 | 183 |
| 6 | 2005 | 171 | |
| 7 | 2017 | 151 | |
| 8 | 2020 | 145 | |
| 9 | 2021 | 119 | |
| 10 | 2019 | 79 | |
| 11 | 2003 | 53 | |
| 12 | 2018 | 46 | |
| 13 | 2020 | 40 | |
| 14 | 2018 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2008 | 24 | |
| 17 | 2018 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2018 | 18 |
About Timothy M. Errington
Timothy M. Errington is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Information Systems and Management, Cancer Research and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), scientometrics and bibliometrics research (5 papers), Scientific Computing and Data Management (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cell Image Analysis Techniques (4 papers), Academic Publishing and Open Access (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (536 citations), Information Systems and Management (282 citations), Health Informatics (23 citations), History and Philosophy of Science (71 citations) and General Decision Sciences (26 citations). Timothy M. Errington has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Brian A. Nosek, Elizabeth Iorns, Deborah A. Lannigan, Jeffrey A. Smith, Courtney K. Soderberg, Nicole Perfito, Alexandria Denis, Celeste E. Poteet-Smith, Sidney M. Hecht and Ya-Ming Xu. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Cancer Research and PLoS Biology.
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.