Tracy Teal
Impact in
-
- Scientific Computing and Data Management
- Ecology top 5%
- Microbial Community Ecology and Physiology
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 3
- Genomics and Phylogenetic Studies 3
-
- Research Data Management Practices 7
- Co-authors
- Thomas M. Schmidt (4 shared papers)Vicente Gomez‐Alvarez (1 shared paper)Dianne K. Newman (2 shared papers)Lars E. P. Dietrich (1 shared paper)Alexa Price‐Whelan (1 shared paper)G. Philip Robertson (2 shared papers)Karen Cranston (5 shared papers)Greg Wilson (3 shared papers)
- Journals
- The ISME Journal (2 papers)mSystems (1 paper)BioScience (1 paper)Microbiome (1 paper)Artificial Life (1 paper)
- Partner nations
- United StatesNorwayItaly
In The Last Decade
Tracy Teal
24 papers receiving 2.2k citations
Tracy Teal's Hit Papers
Peers
Comparison fields: 5 of 175
- Information Systems and Management 191
- Ecology 581
- Agronomy and Crop Science 196
- Molecular Medicine 78
- Endocrinology 78
Countries citing papers authored by Tracy Teal
This map shows the geographic impact of Tracy Teal'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 Tracy Teal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Teal more than expected).
Fields of papers citing papers by Tracy Teal
This network shows the impact of papers produced by Tracy Teal. 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 Tracy Teal. The network helps show where Tracy Teal may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Teal, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 380 | |
| 2 | 2008 | 379 | |
| 3 | Perennial grasslands enhance biodiversity and multiple ecosystem services in bioenergy landscapes Hit paper breakdown → | 2014 | 374 |
| 4 | Good enough practices in scientific computing. Hit paper breakdown → | 2017 | 260 |
| 5 | 2011 | 138 | |
| 6 | 2015 | 134 | |
| 7 | 2006 | 127 | |
| 8 | 2015 | 77 | |
| 9 | 2004 | 66 | |
| 10 | 2015 | 62 | |
| 11 | 2017 | 59 | |
| 12 | 2008 | 43 | |
| 13 | 2016 | 34 | |
| 14 | 2015 | 27 | |
| 15 | 2000 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2010 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 1999 | 10 | |
| 20 | Effects of Acquisition on Language Evolution | 2000 | 3 |
About Tracy Teal
Tracy Teal is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Ecology and Artificial Intelligence, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Research Data Management Practices (7 papers), Scientific Computing and Data Management (7 papers), Microbial Community Ecology and Physiology (5 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Algorithms and Data Compression (2 papers), Data Analysis with R (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Information Systems and Management (191 citations), Ecology (581 citations), Agronomy and Crop Science (196 citations), Molecular Medicine (78 citations) and Endocrinology (78 citations). Tracy Teal has collaborated with scholars based in United States, Norway and Italy. Frequent co-authors include Thomas M. Schmidt, Vicente Gomez‐Alvarez, Dianne K. Newman, Lars E. P. Dietrich, Alexa Price‐Whelan, G. Philip Robertson, Karen Cranston, Greg Wilson, Justin Kitzes and Jennifer Bryan. Their work appears in journals such as The ISME Journal, mSystems, BioScience, Microbiome and Artificial Life.
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.