Anne-Maarit Bågman

13 total papers · 828 total citations
8 papers, 564 citations indexed

About

Anne-Maarit Bågman is a scholar working on Plant Science, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Anne-Maarit Bågman has authored 8 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Anne-Maarit Bågman's work include Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (3 papers) and Plant tissue culture and regeneration (2 papers). Anne-Maarit Bågman is often cited by papers focused on Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (3 papers) and Plant tissue culture and regeneration (2 papers). Anne-Maarit Bågman collaborates with scholars based in United States, Japan and United Kingdom. Anne-Maarit Bågman's co-authors include Siobhán M. Brady, Allison Gaudinier, Michelle Tang, Shane Abbitt, Daniel J. Kliebenstein, Doreen Ware, Bo Shen, Joel Rodríguez-Medina, Christophe Liseron-Monfils and Daniel E. Runcie and has published in prestigious journals such as Nature, The Plant Cell and Journal of Experimental Botany.

In The Last Decade

Anne-Maarit Bågman

8 papers receiving 559 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anne-Maarit Bågman 491 299 18 16 15 8 564
Mariana Obertello 591 1.2× 267 0.9× 26 1.4× 9 0.6× 14 0.9× 14 644
Shengdong Qi 564 1.1× 255 0.9× 17 0.9× 23 1.4× 38 2.5× 16 697
Christian C. Meyer 435 0.9× 293 1.0× 17 0.9× 11 0.7× 4 0.3× 12 546
Alessandro Manoli 585 1.2× 220 0.7× 26 1.4× 22 1.4× 6 0.4× 12 688
Dheeraj Mittal 509 1.0× 423 1.4× 43 2.4× 6 0.4× 8 0.5× 13 639
Qian Xu 553 1.1× 299 1.0× 13 0.7× 10 0.6× 3 0.2× 15 673
Shigeru Hanamata 555 1.1× 266 0.9× 12 0.7× 13 0.8× 4 0.3× 17 630
Sung Han Park 631 1.3× 351 1.2× 56 3.1× 19 1.2× 10 0.7× 12 668
Timothy Brears 480 1.0× 407 1.4× 63 3.5× 9 0.6× 8 0.5× 10 649
Lara Spinner 623 1.3× 257 0.9× 18 1.0× 7 0.4× 7 0.5× 5 656

Countries citing papers authored by Anne-Maarit Bågman

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Maarit Bågman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Maarit Bågman. 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 Anne-Maarit Bågman. The network helps show where Anne-Maarit Bågman may publish in the future.

Co-authorship network of co-authors of Anne-Maarit Bågman

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

All Works

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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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2026