Peter Midford
- Paleontology top 1%
- Evolution and Paleontology Studies 4
- Ecological Modeling top 2%
- Species Distribution and Climate Change 4
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies 11
- Genomics and Phylogenetic Studies 10
- Bioinformatics and Genomic Networks 9
- Microbial Metabolic Engineering and Bioproduction 9
- Metabolomics and Mass Spectrometry Studies 4
-
- Genetic diversity and population structure 5
- Co-authors
- Wayne P. MaddisonTheodore GarlandAnthony R. IvesSarah P. OttoPeter D. KarpRon CaspiWai Kit OngMarkus Krummenacker
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Peter Midford
29 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Paleontology 798
- Ecological Modeling 271
- Ecology, Evolution, Behavior and Systematics 1.1k
- Nature and Landscape Conservation 666
- Molecular Biology 2.5k
Countries citing papers authored by Peter Midford
This map shows the geographic impact of Peter Midford'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 Peter Midford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Midford more than expected).
Fields of papers citing papers by Peter Midford
This network shows the impact of papers produced by Peter Midford. 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 Peter Midford. The network helps show where Peter Midford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Midford, 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 | 2021 | 146 | |
| 2 | 2021 | 40 | |
| 3 | 2019 | 18 | |
| 4 | 2019 | 8 | |
| 5 | The MetaCyc database of metabolic pathways and enzymesbreakdown → | 2017 | 597 |
| 6 | The BioCyc collection of microbial genomes and metabolic pathwaysbreakdown → | 2017 | 594 |
| 7 | 2013 | 27 | |
| 8 | 2013 | 222 | |
| 9 | 2012 | 38 | |
| 10 | 2012 | 70 | |
| 11 | 2012 | 152 | |
| 12 | Integrating Anatomy and Phenotype Ontologies with Taxonomic Hierarchies. | 2011 | 1 |
| 13 | 2010 | 65 | |
| 14 | 2010 | 62 | |
| 15 | 2010 | 63 | |
| 16 | 2007 | 369 | |
| 17 | Estimating a Binary Character's Effect on Speciation and Extinctionbreakdown → | 2007 | 847 |
| 18 | 2000 | 53 | |
| 19 | 1999 | 496 | |
| 20 | 1998 | 1 |
About Peter Midford
Peter Midford is a scholar working on Ecological Modeling, Paleontology, Developmental Biology, Molecular Biology and History and Philosophy of Science, having authored 30 papers that have together received 5.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Genomics and Phylogenetic Studies (10 papers), Bioinformatics and Genomic Networks (9 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Genetic diversity and population structure (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Species Distribution and Climate Change (4 papers) and Evolution and Paleontology Studies (4 papers). The work is most often cited by research in Paleontology (798 citations), Ecological Modeling (271 citations), Ecology, Evolution, Behavior and Systematics (1.1k citations), Nature and Landscape Conservation (666 citations) and Molecular Biology (2.5k citations). Peter Midford has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Wayne P. Maddison, Theodore Garland, Anthony R. Ives, Sarah P. Otto, Peter D. Karp, Ron Caspi, Wai Kit Ong, Markus Krummenacker, Suzanne Paley and Anamika Kothari. Their work appears in journals such as Systematic Biology, PLoS ONE, Bioinformatics, Behavioral and Brain Sciences and Briefings in Bioinformatics.
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.