Laurel Cooper
Impact in
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Biomedical Text Mining and Ontologies 27
- Bioinformatics and Genomic Networks 2
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- Semantic Web and Ontologies 9
- Co-authors
- Pankaj Jaiswal (19 shared papers)Justin L. Elser (12 shared papers)Dennis Wm. Stevenson (5 shared papers)Chris Mungall (7 shared papers)Barry Smith (5 shared papers)Patrick M. Hayes (6 shared papers)Justin Preece (6 shared papers)Ramona Walls (5 shared papers)
- Journals
- Database (7 papers)Nucleic Acids Research (3 papers)F1000Research (2 papers)PeerJ (2 papers)IAWA Journal - KU Leuven/IAWA Journal (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Laurel Cooper
45 papers receiving 5.5k citations
Laurel Cooper's Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 2.4k
- Genetics 616
- Aging 32
- Plant Science 744
- Cancer Research 212
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Gene Ontology resource: enriching a GOld mine Hit paper breakdown → | 2020 | 2477 |
| 2 | The Gene Ontology knowledgebase in 2023 Hit paper breakdown → | 2023 | 1602 |
| 3 | 2015 | 168 | |
| 4 | 2012 | 146 | |
| 5 | 2017 | 140 | |
| 6 | 2006 | 83 | |
| 7 | 2016 | 83 | |
| 8 | 2012 | 79 | |
| 9 | 2022 | 74 | |
| 10 | 2018 | 72 | |
| 11 | 2020 | 63 | |
| 12 | 2013 | 61 | |
| 13 | 2015 | 45 | |
| 14 | 2006 | 41 | |
| 15 | 2004 | 38 | |
| 16 | 2015 | 38 | |
| 17 | 2012 | 35 | |
| 18 | 2019 | 35 | |
| 19 | 2012 | 34 | |
| 20 | 2005 | 30 |
About Laurel Cooper
Laurel Cooper is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Plant Science and Genetics, having authored 46 papers that have together received 5.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (27 papers), Semantic Web and Ontologies (9 papers), Wheat and Barley Genetics and Pathology (7 papers), Research Data Management Practices (6 papers), Plant Genetic and Mutation Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Bioinformatics and Genomic Networks (2 papers) and Insect-Plant Interactions and Control (1 paper). The work is most often cited by research in Molecular Biology (2.4k citations), Genetics (616 citations), Aging (32 citations), Plant Science (744 citations) and Cancer Research (212 citations). Laurel Cooper has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Pankaj Jaiswal, Justin L. Elser, Dennis Wm. Stevenson, Chris Mungall, Barry Smith, Patrick M. Hayes, Justin Preece, Ramona Walls, Elizabeth Arnaud and María A. Gandolfo. Their work appears in journals such as Database, Nucleic Acids Research, F1000Research, PeerJ and IAWA Journal - KU Leuven/IAWA Journal.
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.