Paula Mabee

5.2k total citations
75 papers, 2.7k citations indexed

About

Paula Mabee is a scholar working on Molecular Biology, Nature and Landscape Conservation and Artificial Intelligence. According to data from OpenAlex, Paula Mabee has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 20 papers in Nature and Landscape Conservation and 14 papers in Artificial Intelligence. Recurrent topics in Paula Mabee's work include Biomedical Text Mining and Ontologies (28 papers), Genomics and Phylogenetic Studies (25 papers) and Fish biology, ecology, and behavior (14 papers). Paula Mabee is often cited by papers focused on Biomedical Text Mining and Ontologies (28 papers), Genomics and Phylogenetic Studies (25 papers) and Fish biology, ecology, and behavior (14 papers). Paula Mabee collaborates with scholars based in United States, Canada and United Kingdom. Paula Mabee's co-authors include Nathan C. Bird, James P. Balhoff, Patricia L. Crotwell, Hilmar Lapp, John Eric Humphries, Wasila Dahdul, Monte Westerfield, Todd Vision, Scott E. Fraser and Andrés Collazo and has published in prestigious journals such as Science, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Paula Mabee

72 papers receiving 2.6k citations

Peers

Paula Mabee

NLC

GENET

PALEO

Christopher H. Martin United States

Jun Inoue Japan

Peter L. Forey United Kingdom

Amy R. McCune United States

Sandie M. Degnan Australia

Terry Grande United States

R. Craig Albertson United States

J. Todd Streelman United States

Felicity C. Jones Canada

Shunping He China

Christopher H. Martin United States

Paula Mabee

723 ×0.6

555 ×0.6

NLC

203 ×0.4

1.1k ×2.3

GENET

230 ×0.6

PALEO

Citations per year, relative to Paula Mabee Paula Mabee (= 1×) peers Christopher H. Martin

Countries citing papers authored by Paula Mabee

Since Specialization

Citations

This map shows the geographic impact of Paula Mabee'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 Paula Mabee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Mabee more than expected).

Fields of papers citing papers by Paula Mabee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Mabee. 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 Paula Mabee. The network helps show where Paula Mabee may publish in the future.

Co-authorship network of co-authors of Paula Mabee

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

All Works

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20 of 20 papers shown

Hagedorn, Mary, Lynne R. Parenti, R. A. Craddock, et al.. (2024). Safeguarding Earth's biodiversity by creating a lunar biorepository. BioScience. 74(8). 561–566. 4 indexed citations

Balk, Meghan A., John Bradley, Henry L. Bart, et al.. (2024). A FAIR and modular image‐based workflow for knowledge discovery in the emerging field of imageomics. Methods in Ecology and Evolution. 15(6). 1129–1145. 1 indexed citations

Uyeda, Josef C., Meghan A. Balk, Wasila Dahdul, et al.. (2023). Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. VTechWorks (Virginia Tech). 3966–3978. 3 indexed citations

Thibault, Katherine M., et al.. (2023). The US National Ecological Observatory Network and the Global Biodiversity Framework: national research infrastructure with a global reach. Journal of Ecology and Environment. 47. 3 indexed citations

Dahdul, Wasila, Hilmar Lapp, James P. Balhoff, et al.. (2022). Assessing Bayesian Phylogenetic Information Content of Morphological Data Using Knowledge From Anatomy Ontologies. Systematic Biology. 71(6). 1290–1306. 5 indexed citations

Loescher, Henry W., Rodrigo Vargas, Michael Mirtl, et al.. (2022). Building a Global Ecosystem Research Infrastructure to Address Global Grand Challenges for Macrosystem Ecology. Earth s Future. 10(5). 16 indexed citations

Maga, A. Murat, Henry L. Bart, Paula Mabee, et al.. (2021). Hierarchy‐guided neural network for species classification. Methods in Ecology and Evolution. 13(3). 642–652. 9 indexed citations

Mabee, Paula, James P. Balhoff, Wasila Dahdul, et al.. (2019). A Logical Model of Homology for Comparative Biology. Systematic Biology. 69(2). 345–362. 11 indexed citations

Mabee, Paula, James P. Balhoff, Wasila Dahdul, Hilmar Lapp, & Chris Mungall. (2018). Reasoning over Anatomical Homology in the Phenoscape KB.. 1 indexed citations

10.

Dececchi, T. Alexander, Paula Mabee, & David C. Blackburn. (2016). Data Sources for Trait Databases: Comparing the Phenomic Content of Monographs and Evolutionary Matrices. PLoS ONE. 11(5). e0155680–e0155680. 5 indexed citations

11.

Balhoff, James P., Wasila Dahdul, T. Alexander Dececchi, et al.. (2014). Annotation of phenotypic diversity: decoupling data curation and ontology curation using Phenex. Journal of Biomedical Semantics. 5(1). 45–45. 11 indexed citations

12.

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

13.

Dahdul, Wasila, James P. Balhoff, David C. Blackburn, et al.. (2012). A Unified Anatomy Ontology of the Vertebrate Skeletal System. PLoS ONE. 7(12). e51070–e51070. 28 indexed citations

14.

Mabee, Paula, Gloria Arratia, Melissa Haendel, et al.. (2007). Connecting evolutionary morphology to genomics using ontologies: a case study from Cypriniformes including zebrafish. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 308B(5). 655–668. 44 indexed citations

15.

Mabee, Paula, Michael Ashburner, Quentin Cronk, et al.. (2007). Phenotype ontologies: the bridge between genomics and evolution. Trends in Ecology & Evolution. 22(7). 345–350. 105 indexed citations

16.

Cloutier, Richard, et al.. (2007). Early developmental plasticity and integrative responses in arctic charr (Salvelinus alpinus): effects of water velocity on body size and shape. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 308B(4). 396–408. 37 indexed citations

17.

Crotwell, Patricia L., et al.. (2004). Expression of bmp2a and bmp2b in late-stage zebrafish median fin development. Gene Expression Patterns. 5(2). 291–296. 22 indexed citations

18.

Mabee, Paula, et al.. (2004). Development of the paired fins in the paddlefish, Polyodon spathula. Journal of Morphology. 261(3). 334–344. 29 indexed citations

19.

Mabee, Paula, et al.. (2000). AN EXPERIMENTAL STUDY OF INTRASPECIFIC VARIATION, DEVELOPMENTAL TIMING, AND HETEROCHRONY IN FISHES. Evolution. 54(6). 2091–2106. 97 indexed citations

20.

Mabee, Paula, et al.. (1996). Development of the cranium and paired fins inBetta splendens (Teleostei: Percomorpha): Intraspecific variation and interspecific comparisons. Journal of Morphology. 227(3). 249–287. 115 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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