Agata Cieśla

12 total papers · 748 total citations
10 papers, 540 citations indexed

About

Agata Cieśla is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Agata Cieśla has authored 10 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Insect Science. Recurrent topics in Agata Cieśla's work include Plant Stress Responses and Tolerance (7 papers), Plant nutrient uptake and metabolism (5 papers) and Plant Gene Expression Analysis (3 papers). Agata Cieśla is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Plant nutrient uptake and metabolism (5 papers) and Plant Gene Expression Analysis (3 papers). Agata Cieśla collaborates with scholars based in Poland, Slovenia and Austria. Agata Cieśla's co-authors include Agnieszka Ludwików, Małgorzata Marczak, Przemysław Jagodzik, Jan Sadowski, Anna Kasprowicz‐Maluśki, Danuta Babula-Skowrońska, Piotr Kubiak, Anna Kulik, Grażyna Dobrowolska and Kristina Gruden and has published in prestigious journals such as Journal of Experimental Botany, Frontiers in Plant Science and Plant Molecular Biology.

In The Last Decade

Agata Cieśla

9 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
Agata Cieśla 478 247 23 17 17 10 540
Yong‐Sheng Deng 456 1.0× 371 1.5× 12 0.5× 13 0.8× 20 1.2× 13 583
Arun P. Aryan 335 0.7× 296 1.2× 18 0.8× 24 1.4× 21 1.2× 14 524
Nasir A. Saeed 407 0.9× 325 1.3× 26 1.1× 24 1.4× 16 0.9× 15 462
Aizhen Sun 392 0.8× 212 0.9× 15 0.7× 18 1.1× 25 1.5× 12 476
Janina Lisso 442 0.9× 278 1.1× 39 1.7× 14 0.8× 15 0.9× 13 527
Mireia Bundó 492 1.0× 204 0.8× 18 0.8× 15 0.9× 29 1.7× 15 593
Yanjiao Duan 482 1.0× 398 1.6× 24 1.0× 15 0.9× 11 0.6× 12 612
Kangbiao Qi 464 1.0× 204 0.8× 28 1.2× 12 0.7× 13 0.8× 8 524
Amanda Mangeon 504 1.1× 373 1.5× 16 0.7× 14 0.8× 24 1.4× 11 618
Martin Di Donato 456 1.0× 295 1.2× 21 0.9× 13 0.8× 7 0.4× 12 517

Countries citing papers authored by Agata Cieśla

Since Specialization
Citations

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

Fields of papers citing papers by Agata Cieśla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Cieśla

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Cieśla. A scholar is included among the top collaborators of Agata Cieśla 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 Agata Cieśla. Agata Cieśla 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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