Matthew Lange
- Molecular Biology
- Food Science top 10%
- Artificial Intelligence
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Damion DooleyPier Luigi ButtigiegLynn M. SchrimlRobert HoehndorfWilliam HsiaoEmma GriffithsFiona S. L. BrinkmanThomas L. Oldfield
- Topics
- Biomedical Text Mining and Ontologies (8 papers)Nutrition, Genetics, and Disease (8 papers)Semantic Web and Ontologies (4 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Matthew Lange
21 papers receiving 363 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 128
- Food Science 89
- Artificial Intelligence 83
- Genetics 63
- Public Health, Environmental and Occupational Health 62
Countries citing papers authored by Matthew Lange
This map shows the geographic impact of Matthew Lange'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 Lange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lange more than expected).
Fields of papers citing papers by Matthew Lange
This network shows the impact of papers produced by Matthew Lange. 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 Lange. The network helps show where Matthew Lange may publish in the future.
Co-authorship network of co-authors of Matthew Lange
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lange. A scholar is included among the top collaborators of Matthew Lange based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Lange. Matthew Lange is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | Ontological Framework for Representation of Tractable Flavor: Food Phenotype, Sensation, Perception. | 0 |
| 12 | 68 | |
| 13 | 13 | |
| 14 | 186 | |
| 15 | Organoleptic and Sensory Ontology. | 2 |
| 16 | 8 | |
| 17 | Towards designing an ontology encompassing the environment-agriculture-food-diet-health knowledge spectrum for food system sustainability and resilience | 2 |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 21 |
About Matthew Lange
Matthew Lange is a scholar working on Genetics, Nutrition and Dietetics and Food Science, having authored 26 papers that have together received 382 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Nutrition, Genetics, and Disease (8 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Food Science (89 citations), Nutrition and Dietetics (43 citations) and Artificial Intelligence (83 citations). Matthew Lange has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Damion Dooley, Pier Luigi Buttigieg, Lynn M. Schriml, Robert Hoehndorf, William Hsiao, Emma Griffiths, Fiona S. L. Brinkman, Thomas L. Oldfield, E. P. White and Nicholas M. Holden. Their work appears in journals such as Scientific Reports, Trends in Food Science & Technology and Sustainability.
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.