Peter Midford

9.3k total citations · 4 hit papers
30 papers, 5.1k citations indexed

About

Peter Midford is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Peter Midford has authored 30 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Paleontology. Recurrent topics in Peter Midford's work include Biomedical Text Mining and Ontologies (11 papers), Genomics and Phylogenetic Studies (10 papers) and Bioinformatics and Genomic Networks (9 papers). Peter Midford is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Genomics and Phylogenetic Studies (10 papers) and Bioinformatics and Genomic Networks (9 papers). Peter Midford collaborates with scholars based in United States, Canada and Australia. Peter Midford's 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 and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Peter Midford

29 papers receiving 5.0k citations

Hit Papers

Estimating a Binary Character's Effect on Speciation and ... 2007 2026 2013 2019 2007 2019 2017 2017 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Midford United States 21 2.5k 1.1k 964 887 798 30 5.1k
Lê Sỹ Vinh Vietnam 15 2.9k 1.2× 1.7k 1.5× 1.7k 1.8× 1.7k 1.9× 534 0.7× 53 7.1k
Paul Hoover United States 18 3.2k 1.3× 2.1k 1.8× 1.2k 1.3× 1.6k 1.9× 440 0.6× 41 8.0k
Xuhua Xia Canada 41 4.6k 1.9× 1.6k 1.4× 2.6k 2.7× 2.6k 2.9× 664 0.8× 164 10.1k
Diego Darriba Germany 10 3.2k 1.3× 1.0k 0.9× 1.2k 1.2× 1.6k 1.8× 295 0.4× 16 6.6k
Agostinho Antunes Portugal 40 2.2k 0.9× 716 0.6× 2.1k 2.2× 1.6k 1.8× 734 0.9× 206 5.8k
Alexey M. Kozlov Germany 17 2.3k 0.9× 1.2k 1.0× 1.1k 1.2× 1.2k 1.4× 209 0.3× 24 5.1k
Hong Liu China 48 4.1k 1.7× 2.9k 2.6× 3.5k 3.6× 1.6k 1.8× 374 0.5× 233 12.8k
M. Denise Dearing United States 39 1.7k 0.7× 865 0.8× 403 0.4× 2.1k 2.4× 315 0.4× 130 4.9k
David L. Erickson United States 40 2.8k 1.1× 1.9k 1.7× 1.6k 1.7× 1.6k 1.9× 164 0.2× 94 6.6k
Peter J. Lockhart New Zealand 44 3.6k 1.5× 2.4k 2.1× 2.0k 2.1× 1.3k 1.4× 774 1.0× 122 6.5k

Countries citing papers authored by Peter Midford

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter Midford

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Midford. A scholar is included among the top collaborators of Peter Midford 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 Peter Midford. Peter Midford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Keseler, Ingrid M., Socorro Gama‐Castro, Amanda Mackie, et al.. (2021). The EcoCyc Database in 2021. Frontiers in Microbiology. 12. 711077–711077. 146 indexed citations
2.
Karp, Peter D., Peter Midford, Ron Caspi, & Arkady Khodursky. (2021). Pathway size matters: the influence of pathway granularity on over-representation (enrichment analysis) statistics. BMC Genomics. 22(1). 191–191. 40 indexed citations
3.
Karp, Peter D., Natalia Ivanova, Markus Krummenacker, et al.. (2019). A Comparison of Microbial Genome Web Portals. Frontiers in Microbiology. 10. 208–208. 18 indexed citations
4.
Caspi, Ron, Richard Billington, Carol A. Fulcher, et al.. (2019). BioCyc: A Genomic and Metabolic Web Portal with Multiple Omics Analytical Tools. The FASEB Journal. 33(S1). 8 indexed citations
5.
Caspi, Ron, Richard Billington, Ingrid M. Keseler, et al.. (2019). The MetaCyc database of metabolic pathways and enzymes - a 2019 update. Nucleic Acids Research. 48(D1). D445–D453. 795 indexed citations breakdown →
6.
Karp, Peter D., Peter Midford, Richard Billington, et al.. (2019). Pathway Tools version 23.0 update: software for pathway/genome informatics and systems biology. Briefings in Bioinformatics. 22(1). 109–126. 135 indexed citations
7.
Ong, Wai Kit, Peter Midford, & Peter D. Karp. (2019). Taxonomic weighting improves the accuracy of a gap-filling algorithm for metabolic models. Bioinformatics. 36(6). 1823–1830. 3 indexed citations
8.
Caspi, Ron, Richard Billington, Carol A. Fulcher, et al.. (2017). The MetaCyc database of metabolic pathways and enzymes. Nucleic Acids Research. 46(D1). D633–D639. 597 indexed citations breakdown →
9.
Midford, Peter, T. Alexander Dececchi, James P. Balhoff, et al.. (2013). The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes. Journal of Biomedical Semantics. 4(1). 34–34. 27 indexed citations
10.
Davis, Matthew P., Peter Midford, & Wayne P. Maddison. (2013). Exploring power and parameter estimation of the BiSSE method for analyzing species diversification. BMC Evolutionary Biology. 13(1). 38–38. 222 indexed citations
11.
Vos, Rutger, James P. Balhoff, Jason Caravas, et al.. (2012). NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata. Systematic Biology. 61(4). 675–689. 70 indexed citations
12.
Mabee, Paula, James P. Balhoff, Wasila Dahdul, et al.. (2012). 500,000 fish phenotypes: The new informatics landscape for evolutionary and developmental biology of the vertebrate skeleton. Journal of Applied Ichthyology. 28(3). 300–305. 38 indexed citations
13.
Balhoff, James P., Peter Midford, & Hilmar Lapp. (2011). Integrating Anatomy and Phenotype Ontologies with Taxonomic Hierarchies.. 1 indexed citations
14.
Dahdul, Wasila, James P. Balhoff, Terry Grande, et al.. (2010). Evolutionary Characters, Phenotypes and Ontologies: Curating Data from the Systematic Biology Literature. PLoS ONE. 5(5). e10708–e10708. 65 indexed citations
15.
Balhoff, James P., Wasila Dahdul, Cartik R. Kothari, et al.. (2010). Phenex: Ontological Annotation of Phenotypic Diversity. PLoS ONE. 5(5). e10500–e10500. 62 indexed citations
16.
Ives, Anthony R., Peter Midford, & Theodore Garland. (2007). Within-Species Variation and Measurement Error in Phylogenetic Comparative Methods. Systematic Biology. 56(2). 252–270. 369 indexed citations
17.
Maddison, Wayne P., Peter Midford, & Sarah P. Otto. (2007). Estimating a Binary Character's Effect on Speciation and Extinction. Systematic Biology. 56(5). 701–710. 847 indexed citations breakdown →
18.
Midford, Peter, Jack P. Hailman, & Glen E. Woolfenden. (2000). Social learning of a novel foraging patch in families of free-living Florida scrub-jays. Animal Behaviour. 59(6). 1199–1207. 53 indexed citations
19.
Garland, Theodore, Peter Midford, & Anthony R. Ives. (1999). An Introduction to Phylogenetically Based Statistical Methods, with a New Method for Confidence Intervals on Ancestral Values. American Zoologist. 39(2). 374–388. 496 indexed citations
20.
Midford, Peter. (1998). High-level social learning in apes: Imitation or observation-assisted planning?. Behavioral and Brain Sciences. 21(5). 698–699. 1 indexed citations

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.

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