Matthew Hindle
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Bioinformatics and Genomic Networks 6
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 4
- Photosynthetic Processes and Mechanisms 3
-
- Plant nutrient uptake and metabolism 2
- Co-authors
- Mansoor Saqi (4 shared papers)D. Z. Habash (3 shared papers)Stéphanie M. Swarbreck (1 shared paper)Chris Rawlings (6 shared papers)Thierry Le Bihan (7 shared papers)Andrew J. Millar (7 shared papers)Sarah F. Martin (6 shared papers)Jan Taubert (4 shared papers)
- Journals
- Journal of Experimental Botany (2 papers)PLoS ONE (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)Molecular & Cellular Proteomics (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Matthew Hindle
19 papers receiving 385 citations
Peers
Comparison fields: 5 of 78
- Endocrine and Autonomic Systems 66
- Aging 12
- Plant Science 193
- Physiology 18
- Molecular Biology 170
Countries citing papers authored by Matthew Hindle
This map shows the geographic impact of Matthew Hindle'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 Matthew Hindle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hindle more than expected).
Fields of papers citing papers by Matthew Hindle
This network shows the impact of papers produced by Matthew Hindle. 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 Matthew Hindle. The network helps show where Matthew Hindle may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Hindle, 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 | 2010 | 78 | |
| 2 | 2020 | 54 | |
| 3 | 2014 | 45 | |
| 4 | 2013 | 34 | |
| 5 | 2013 | 33 | |
| 6 | 2016 | 30 | |
| 7 | 2021 | 22 | |
| 8 | 2009 | 17 | |
| 9 | 2015 | 17 | |
| 10 | 2014 | 16 | |
| 11 | 2007 | 12 | |
| 12 | 2011 | 8 | |
| 13 | 2014 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2008 | 3 | |
| 18 | Leveraging SADI Semantic Web Services to exploit fish ecotoxicology data | 2011 | 2 |
| 19 | Ecotoxicology Data Federation with SADI Semantic Web Services. | 2012 | 1 |
| 20 | 2024 | 0 |
About Matthew Hindle
Matthew Hindle is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Artificial Intelligence, having authored 20 papers that have together received 391 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (5 papers), Biomedical Text Mining and Ontologies (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Circadian rhythm and melatonin (3 papers), Plant nutrient uptake and metabolism (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (66 citations), Aging (12 citations), Plant Science (193 citations), Physiology (18 citations) and Molecular Biology (170 citations). Matthew Hindle has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Mansoor Saqi, D. Z. Habash, Stéphanie M. Swarbreck, Chris Rawlings, Thierry Le Bihan, Andrew J. Millar, Sarah F. Martin, Jan Taubert, Artem Lysenko and Martin E. Barrios‐Llerena. Their work appears in journals such as Journal of Experimental Botany, PLoS ONE, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Molecular & Cellular Proteomics and Nature Communications.
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.