Marie‐Angélique Laporte

2.0k total citations
26 papers, 726 citations indexed

About

Marie‐Angélique Laporte is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Marie‐Angélique Laporte has authored 26 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Marie‐Angélique Laporte's work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (10 papers) and Genomics and Phylogenetic Studies (5 papers). Marie‐Angélique Laporte is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (10 papers) and Genomics and Phylogenetic Studies (5 papers). Marie‐Angélique Laporte collaborates with scholars based in France, United States and Italy. Marie‐Angélique Laporte's co-authors include Damien Arvor, Laurent Durieux, Elizabeth Arnaud, Christian M. Zmasek, Valentin Guignon, Sarah K. Jones, Mathieu Rouard, Natalia Estrada-Carmona, Gaëtan Droc and Justin Elser and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Marie‐Angélique Laporte

25 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie‐Angélique Laporte France 9 214 196 131 128 89 26 726
Mark R. Wade New Zealand 11 125 0.6× 447 2.3× 109 0.8× 242 1.9× 348 3.9× 14 1.3k
Michael Rzanny Germany 17 116 0.5× 335 1.7× 283 2.2× 34 0.3× 282 3.2× 32 928
Depeng Xu United States 12 173 0.8× 95 0.5× 349 2.7× 249 1.9× 44 0.5× 37 1.0k
Ronnie Alves Brazil 15 199 0.9× 104 0.5× 147 1.1× 74 0.6× 183 2.1× 53 757
Renato De Giovanni Brazil 11 234 1.1× 124 0.6× 457 3.5× 106 0.8× 328 3.7× 24 1.4k
Hervé Goëau France 12 97 0.5× 630 3.2× 282 2.2× 25 0.2× 176 2.0× 44 1.0k
Nicolás F. Martín United States 15 67 0.3× 303 1.5× 160 1.2× 40 0.3× 65 0.7× 42 627
Timo Kaukoranta Finland 16 55 0.3× 379 1.9× 57 0.4× 128 1.0× 124 1.4× 47 884
Kristian Meissner Finland 15 477 2.2× 106 0.5× 945 7.2× 47 0.4× 143 1.6× 50 1.5k
Yvette Everingham Australia 18 63 0.3× 668 3.4× 271 2.1× 58 0.5× 242 2.7× 84 1.4k

Countries citing papers authored by Marie‐Angélique Laporte

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Angélique Laporte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Angélique Laporte. 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 Marie‐Angélique Laporte. The network helps show where Marie‐Angélique Laporte may publish in the future.

Co-authorship network of co-authors of Marie‐Angélique Laporte

This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Angélique Laporte. A scholar is included among the top collaborators of Marie‐Angélique Laporte 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 Marie‐Angélique Laporte. Marie‐Angélique Laporte 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.
Laporte, Marie‐Angélique, et al.. (2025). Human achromatic flickers and phosphenes thresholds under extremely low frequency electric stimulations. Scientific Reports. 15(1). 23779–23779.
2.
Clarke, Jennifer, Laurel Cooper, Monica F. Poelchau, et al.. (2023). Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the Agbiodata Consortium. Database. 2023. 6 indexed citations
3.
Laporte, Marie‐Angélique, Dominik Brilhaus, Andrea Schrader, et al.. (2023). Ontologies for increasing the FAIRness of plant research data. Frontiers in Plant Science. 14. 1279694–1279694. 6 indexed citations
4.
Cooper, Laurel, Justin Elser, Marie‐Angélique Laporte, Elizabeth Arnaud, & Pankaj Jaiswal. (2023). Planteome 2024 Update: Reference Ontologies and Knowledgebase for Plant Biology. Nucleic Acids Research. 52(D1). D1548–D1555. 9 indexed citations
5.
Quirós, Carlos F., Kauê de Sousa, Jonathan Steinke, et al.. (2023). ClimMob: Software to support experimental citizen science in agriculture. Computers and Electronics in Agriculture. 217. 108539–108539. 8 indexed citations
6.
Jones, Sarah K., et al.. (2021). Agrobiodiversity Index scores show agrobiodiversity is underutilized in national food systems. Nature Food. 2(9). 712–723. 50 indexed citations
7.
Devare, Medha, et al.. (2021). AgroFIMS: A Tool to Enable Digital Collection of Standards-Compliant FAIR Data. Frontiers in Sustainable Food Systems. 5. 5 indexed citations
8.
Jones, Sarah K., et al.. (2020). Text Mining National Commitments towards Agrobiodiversity Conservation and Use. Sustainability. 12(2). 715–715. 7 indexed citations
9.
Cooper, Laurel, Marie‐Angélique Laporte, Justin Elser, et al.. (2020). The Plant Trait Ontology Links Wheat Traits for Crop Improvement and Genomics (short paper).. 1–2. 1 indexed citations
10.
Pommier, Cyril, Célia Michotey, Guillaume Cornut, et al.. (2019). Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS. Plant Phenomics. 2019. 1671403–1671403. 28 indexed citations
11.
Endara, Lorena, J. Gordon Burleigh, Marie‐Angélique Laporte, et al.. (2018). A Natural Language Processing Pipeline to Extract Phenotypic Data from Formal Taxonomic Descriptions with a Focus on Flagellate Plants.. 2285. 1 indexed citations
12.
Cooper, Laurel, Marie‐Angélique Laporte, Justin Elser, et al.. (2017). The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. Nucleic Acids Research. 46(D1). D1168–D1180. 114 indexed citations
13.
Jonquet, Clément, Elizabeth Arnaud, Sophie Aubin, et al.. (2017). AgroPortal: A vocabulary and ontology repository for agronomy. Computers and Electronics in Agriculture. 144. 126–143. 87 indexed citations
14.
Alaux, Michaël, Sophie Aubin, Elizabeth Arnaud, et al.. (2017). Wheat Data Interoperability Guidelines, Ontologies and User Cases. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Devare, Medha, et al.. (2016). Data-driven Agricultural Research for Development: A Need for Data Harmonization Via Semantics.. 4 indexed citations
16.
Laporte, Marie‐Angélique, et al.. (2016). Comparison of ontology mapping techniques to map plant trait ontologies. 1 indexed citations
17.
Cooper, Laurel, et al.. (2016). Annotating Germplasm to Planteome Reference Ontologies.. 1 indexed citations
18.
Pey, Benjamin, Apolline Auclerc, Yvan Capowiez, et al.. (2014). Current use of and future needs for soil invertebrate functional traits in community ecology. Basic and Applied Ecology. 15(3). 194–206. 141 indexed citations
19.
Arvor, Damien, et al.. (2013). Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective. ISPRS Journal of Photogrammetry and Remote Sensing. 82. 125–137. 150 indexed citations
20.
Rouard, Mathieu, Valentin Guignon, Marie‐Angélique Laporte, et al.. (2010). GreenPhylDB v2.0: comparative and functional genomics in plants. Nucleic Acids Research. 39(suppl_1). D1095–D1102. 77 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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