Laurel Cooper
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
Papers in
-
- Biomedical Text Mining and Ontologies 18
- Genomics and Phylogenetic Studies 12
- Bioinformatics and Genomic Networks 4
-
- Wheat and Barley Genetics and Pathology 4
- Chromosomal and Genetic Variations 2
- Mycorrhizal Fungi and Plant Interactions 2
- Co-authors
- Pankaj Jaiswal (18 shared papers)Justin Elser (11 shared papers)Chris Mungall (8 shared papers)Barry Smith (5 shared papers)Dennis Wm. Stevenson (4 shared papers)Justin Preece (5 shared papers)Ramona Walls (5 shared papers)Elizabeth Arnaud (8 shared papers)
- Journals
- Database (3 papers)Nucleic Acids Research (2 papers)Molecular Genetics and Genomics (1 paper)Frontiers in Plant Science (1 paper)Journal of Biomedical Semantics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Laurel Cooper
30 papers receiving 497 citations
Peers
Comparison fields: 5 of 79
- Plant Science 222
- Ecological Modeling 23
- Molecular Biology 301
- Genetics 94
- Artificial Intelligence 101
Countries citing papers authored by Laurel Cooper
This map shows the geographic impact of Laurel Cooper'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 Laurel Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel Cooper more than expected).
Fields of papers citing papers by Laurel Cooper
This network shows the impact of papers produced by Laurel Cooper. 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 Laurel Cooper. The network helps show where Laurel Cooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurel Cooper, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2012 | 68 | |
| 3 | 2022 | 49 | |
| 4 | 2015 | 38 | |
| 5 | 2004 | 33 | |
| 6 | 2015 | 29 | |
| 7 | 2012 | 28 | |
| 8 | 2012 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2005 | 24 | |
| 11 | 2014 | 11 | |
| 12 | 2009 | 11 | |
| 13 | 2007 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2012 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2015 | 3 | |
| 20 | Planteome: A resource for Common Reference Ontologies and Applications for Plant Biology | 2016 | 2 |
About Laurel Cooper
Laurel Cooper is a scholar working on Molecular Biology, Plant Science, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 513 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Genomics and Phylogenetic Studies (12 papers), Semantic Web and Ontologies (8 papers), Wheat and Barley Genetics and Pathology (4 papers), Bioinformatics and Genomic Networks (4 papers), Chromosomal and Genetic Variations (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Plant Science (222 citations), Ecological Modeling (23 citations), Molecular Biology (301 citations), Genetics (94 citations) and Artificial Intelligence (101 citations). Laurel Cooper has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Pankaj Jaiswal, Justin Elser, Chris Mungall, Barry Smith, Dennis Wm. Stevenson, Justin Preece, Ramona Walls, Elizabeth Arnaud, María A. Gandolfo and Marie‐Angélique Laporte. Their work appears in journals such as Database, Nucleic Acids Research, Molecular Genetics and Genomics, Frontiers in Plant Science and Journal of Biomedical Semantics.
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.