Ewa Łukasik

788 total citations
9 papers, 602 citations indexed

About

Ewa Łukasik is a scholar working on Plant Science, Hematology and Physiology. According to data from OpenAlex, Ewa Łukasik has authored 9 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 3 papers in Hematology and 3 papers in Physiology. Recurrent topics in Ewa Łukasik's work include Plant-Microbe Interactions and Immunity (5 papers), Plant pathogens and resistance mechanisms (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Ewa Łukasik is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Plant pathogens and resistance mechanisms (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Ewa Łukasik collaborates with scholars based in Netherlands, Poland and Germany. Ewa Łukasik's co-authors include Frank L. W. Takken, Lisong Ma, Fleur Gawehns, Takaki Maekawa, Peiyuan Liu, Paul Schulze‐Lefert, Imre E. Somssich, Andrei‐José Petrescu, Laurenţiu Spiridon and Qian‐Hua Shen and has published in prestigious journals such as The Plant Journal, Cell Host & Microbe and Current Opinion in Plant Biology.

In The Last Decade

Ewa Łukasik

8 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewa Łukasik Netherlands 5 540 164 54 51 49 9 602
Deepak D. Bhandari Germany 11 665 1.2× 156 1.0× 62 1.1× 33 0.6× 35 0.7× 15 705
Adeline Harant United Kingdom 11 463 0.9× 155 0.9× 64 1.2× 62 1.2× 41 0.8× 17 549
Isabelle Malcuit United Kingdom 7 686 1.3× 183 1.1× 44 0.8× 36 0.7× 32 0.7× 7 757
Joram A. Dongus Germany 7 559 1.0× 183 1.1× 59 1.1× 17 0.3× 34 0.7× 7 604
Sandra Goritschnig United States 11 733 1.4× 262 1.6× 38 0.7× 55 1.1× 38 0.8× 17 804
David A. Hubert United States 7 686 1.3× 282 1.7× 35 0.6× 53 1.0× 68 1.4× 9 827
Patrick von Born Germany 6 441 0.8× 188 1.1× 33 0.6× 18 0.4× 21 0.4× 6 478
Baptiste Castel United Kingdom 9 573 1.1× 177 1.1× 66 1.2× 21 0.4× 33 0.7× 13 623
Tom M. Raaymakers Netherlands 7 760 1.4× 134 0.8× 23 0.4× 108 2.1× 33 0.7× 12 796
Pierre Buscaill United Kingdom 10 517 1.0× 280 1.7× 67 1.2× 35 0.7× 27 0.6× 19 609

Countries citing papers authored by Ewa Łukasik

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Łukasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Łukasik

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

All Works

9 of 9 papers shown
1.
Łukasik, Ewa, Izabela Nowak, Marcin Czerwiński, & Kazimiera Waśniowska. (2019). Duffy blood group system – the frequency of Duffy antigen polymorphisms and novel mutations in the Polish population. Transfusion and Apheresis Science. 58(2). 156–161. 4 indexed citations
2.
Łukasik, Ewa & Kazimiera Waśniowska. (2016). Duffy blood group antigens: structure, serological properties and function. Postępy Higieny i Medycyny Doświadczalnej. 70. 143–161. 2 indexed citations
3.
Łukasik, Ewa, et al.. (2015). High-Resolution Melting Analysis for Genotyping Duffy Blood Group Antigens. Methods in molecular biology. 1310. 83–95. 2 indexed citations
4.
Maekawa, Takaki, Wei Cheng, Laurenţiu Spiridon, et al.. (2011). Coiled-Coil Domain-Dependent Homodimerization of Intracellular Barley Immune Receptors Defines a Minimal Functional Module for Triggering Cell Death. Cell Host & Microbe. 9(3). 187–199. 251 indexed citations
5.
Ma, Lisong, Ewa Łukasik, Fleur Gawehns, & Frank L. W. Takken. (2011). The Use of Agroinfiltration for Transient Expression of Plant Resistance and Fungal Effector Proteins in Nicotiana benthamiana Leaves. Methods in molecular biology. 835. 61–74. 130 indexed citations
6.
Ooijen, Gerben van, Ewa Łukasik, Harrold A. van den Burg, et al.. (2010). The small heat shock protein 20 RSI2 interacts with and is required for stability and function of tomato resistance protein I‐2. The Plant Journal. 63(4). 563–572. 50 indexed citations
7.
Takken, Frank L. W., Gerben van Ooijen, Ewa Łukasik, et al.. (2010). How to resist a tomato resistance gene. UvA-DARE (University of Amsterdam). 7. 1 indexed citations
8.
Łukasik, Ewa & Frank L. W. Takken. (2009). STANDing strong, resistance proteins instigators of plant defence. Current Opinion in Plant Biology. 12(4). 427–436. 159 indexed citations
9.
Slootweg, E.J., W.I.L. Tameling, J. Roosien, et al.. (2009). An Outlook on the Localisation and Structure-Function Relationships of R Proteins in Solanum. Potato Research. 52(3). 229–235. 3 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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