Agata Cieśla

784 total citations
10 papers, 547 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 547 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, Austria and Germany. Agata Cieśla's co-authors include Agnieszka Ludwików, Małgorzata Marczak, Przemysław Jagodzik, Jan Sadowski, Anna Kasprowicz‐Maluśki, Danuta Babula-Skowrońska, Anna Kulik, Piotr Kubiak, Grażyna Dobrowolska and Ute C. Vothknecht 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 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agata Cieśla Poland 7 484 249 23 17 17 10 547
Alok Krishna Sinha India 10 453 0.9× 220 0.9× 18 0.8× 7 0.4× 18 1.1× 29 495
Jasmin Doll Germany 10 503 1.0× 270 1.1× 21 0.9× 15 0.9× 8 0.5× 17 551
Moon‐Soo Chung South Korea 11 349 0.7× 302 1.2× 20 0.9× 5 0.3× 15 0.9× 28 487
Md. Abdul Kayum South Korea 13 468 1.0× 358 1.4× 25 1.1× 13 0.8× 20 1.2× 20 557
Chuying Yu China 10 466 1.0× 270 1.1× 9 0.4× 12 0.7× 20 1.2× 29 521
Przemysław Jagodzik Poland 5 254 0.5× 126 0.5× 16 0.7× 11 0.6× 9 0.5× 9 312
Santosh Kumar Upadhyay India 14 358 0.7× 222 0.9× 26 1.1× 8 0.5× 22 1.3× 31 452
Sujie Fan China 12 587 1.2× 258 1.0× 15 0.7× 12 0.7× 16 0.9× 23 652
Suoyi Han China 13 453 0.9× 213 0.9× 17 0.7× 8 0.5× 22 1.3× 36 518
Yuki Aoi Japan 11 347 0.7× 220 0.9× 9 0.4× 11 0.6× 11 0.6× 14 401

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

10 of 10 papers shown
1.
Marczak, Małgorzata, et al.. (2025). The HECT ubiquitin‐protein ligases UPL1 and UPL2 are involved in degradation of Arabidopsis thaliana ACC synthase 7. Physiologia Plantarum. 177(1). e70030–e70030.
2.
3.
Cieśla, Agata, Kristina Gruden, Tjaša Lukan, et al.. (2022). Organelles and phytohormones: a network of interactions in plant stress responses. Journal of Experimental Botany. 73(21). 7165–7181. 45 indexed citations
4.
Marczak, Małgorzata, et al.. (2020). Protein Phosphatases Type 2C Group A Interact with and Regulate the Stability of ACC Synthase 7 in Arabidopsis. Cells. 9(4). 978–978. 24 indexed citations
5.
Marczak, Małgorzata, et al.. (2020). Identification of Novel Inhibitors of a Plant Group A Protein Phosphatase Type 2C Using a Combined In Silico and Biochemical Approach. Frontiers in Plant Science. 11. 526460–526460. 4 indexed citations
6.
Jagodzik, Przemysław, et al.. (2018). Mitogen-Activated Protein Kinase Cascades in Plant Hormone Signaling. Frontiers in Plant Science. 9. 1387–1387. 263 indexed citations
7.
Cieśla, Agata, et al.. (2016). A Role for Barley Calcium-Dependent Protein Kinase CPK2a in the Response to Drought. Frontiers in Plant Science. 7. 1550–1550. 28 indexed citations
8.
Babula-Skowrońska, Danuta, Agnieszka Ludwików, Agata Cieśla, et al.. (2015). Involvement of genes encoding ABI1 protein phosphatases in the response of Brassica napus L. to drought stress. Plant Molecular Biology. 88(4-5). 445–457. 27 indexed citations
9.
Cieśla, Agata, Anna Kasprowicz‐Maluśki, Anna Kulik, et al.. (2015). Arabidopsis ABA-Activated Kinase MAPKKK18 is Regulated by Protein Phosphatase 2C ABI1 and the Ubiquitin–Proteasome Pathway. Plant and Cell Physiology. 56(12). 2351–2367. 85 indexed citations
10.
Ludwików, Agnieszka, Agata Cieśla, Anna Kasprowicz‐Maluśki, et al.. (2014). Arabidopsis Protein Phosphatase 2C ABI1 Interacts with Type I ACC Synthases and Is Involved in the Regulation of Ozone-Induced Ethylene Biosynthesis. Molecular Plant. 7(6). 960–976. 69 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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