Agata M. Wasik

758 total citations
27 papers, 514 citations indexed

About

Agata M. Wasik is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Agata M. Wasik has authored 27 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 6 papers in Pharmacology. Recurrent topics in Agata M. Wasik's work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Cannabis and Cannabinoid Research (6 papers). Agata M. Wasik is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Cannabis and Cannabinoid Research (6 papers). Agata M. Wasik collaborates with scholars based in Sweden, United States and Canada. Agata M. Wasik's co-authors include Birgitta Sander, Birger Christensson, Valentina Gandin, Mikael Björnstedt, Cristina Marzano, Sougat Misra, Marita Wallenberg, Aristi P. Fernandes, Eva Kimby and Larry Mansouri and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Agata M. Wasik

27 papers receiving 510 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 M. Wasik Sweden 12 180 172 120 119 82 27 514
Mine Eray Finland 13 247 1.4× 111 0.6× 60 0.5× 102 0.9× 15 0.2× 29 645
Rika Saito Japan 12 319 1.8× 45 0.3× 82 0.7× 118 1.0× 22 0.3× 24 658
Yonit Bomstein Israel 12 165 0.9× 183 1.1× 62 0.5× 109 0.9× 13 0.2× 25 611
Olga Zhdanova Russia 9 402 2.2× 68 0.4× 49 0.4× 25 0.2× 41 0.5× 30 675
Jianfang Chen China 14 286 1.6× 56 0.3× 21 0.2× 164 1.4× 59 0.7× 34 618
Alessandra Mangolini Italy 15 461 2.6× 86 0.5× 65 0.5× 57 0.5× 15 0.2× 20 715
Alessandra Compagnone Italy 11 366 2.0× 34 0.2× 62 0.5× 201 1.7× 32 0.4× 13 916
Hirofumi Inoue Japan 12 382 2.1× 49 0.3× 22 0.2× 93 0.8× 44 0.5× 31 526
Jüergen Thomale Germany 11 319 1.8× 129 0.8× 30 0.3× 207 1.7× 13 0.2× 15 624
Monica Cubillos‐Rojas Spain 14 426 2.4× 37 0.2× 49 0.4× 131 1.1× 15 0.2× 25 611

Countries citing papers authored by Agata M. Wasik

Since Specialization
Citations

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

Fields of papers citing papers by Agata M. Wasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata M. Wasik

This figure shows the co-authorship network connecting the top 25 collaborators of Agata M. Wasik. A scholar is included among the top collaborators of Agata M. Wasik 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 M. Wasik. Agata M. Wasik 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.
Wasik, Agata M., et al.. (2023). 2-Arachidonoylglycerol Modulates CXCL12-Mediated Chemotaxis in Mantle Cell Lymphoma and Chronic Lymphocytic Leukemia. Cancers. 15(5). 1585–1585. 4 indexed citations
2.
Wasik, Agata M., Georgios Panagiotidis, Olof Beck, et al.. (2022). Clinical effects of a single dose of cannabinoids to patients with chronic lymphocytic leukemia. Leukemia & lymphoma. 63(6). 1387–1397. 6 indexed citations
3.
Wasik, Agata M., Mattias Carlsten, Georgios Z. Rassidakis, et al.. (2021). Clinical and biological impact of SAMHD1 expression in mantle cell lymphoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 480(3). 655–666. 1 indexed citations
4.
Iqbal, Muhammad N., Boubacar Benziane, Helen Vallhov, et al.. (2020). Entrapping Digestive Enzymes with Engineered Mesoporous Silica Particles Reduces Metabolic Risk Factors in Humans. Advanced Healthcare Materials. 9(11). e2000057–e2000057. 9 indexed citations
5.
Wasik, Agata M., et al.. (2020). Differential B-Cell Receptor Signaling Requirement for Adhesion of Mantle Cell Lymphoma Cells to Stromal Cells. Cancers. 12(5). 1143–1143. 8 indexed citations
6.
Wasik, Agata M., et al.. (2019). A Clinical Trial of Cannabis As Targeted Therapy for Indolent Leukemic Lymphoma. Blood. 134(Supplement_1). 5487–5487. 3 indexed citations
7.
Wasik, Agata M., et al.. (2018). Cannabinoid Receptors and CXCR4 Cross-Talk in Lymphoma Cells. Blood. 132(Supplement 1). 4121–4121. 1 indexed citations
8.
Wasik, Agata M., Chenglin Wu, Larry Mansouri, et al.. (2018). Clinical and functional impact of recurrent S1PR1 mutations in mantle cell lymphoma. Blood Advances. 2(6). 621–625. 9 indexed citations
9.
Wasik, Agata M., Filip Mundt, Birger Christensson, & Birgitta Sander. (2016). The G-Protein Coupled Receptors and G-Proteins Alpha Expression in Mantle Cell Lymphoma. Blood. 128(22). 4137–4137. 1 indexed citations
10.
Nygren, Lina, Agata M. Wasik, Monika Klimkowska, et al.. (2014). T-Cell Levels Are Prognostic in Mantle Cell Lymphoma. Clinical Cancer Research. 20(23). 6096–6104. 34 indexed citations
11.
Wasik, Agata M., Lina Nygren, Jenny Flygare, et al.. (2014). Perturbations of the endocannabinoid system in mantle cell lymphoma: correlations to clinical and pathological features. Oncoscience. 1(8). 550–557. 15 indexed citations
12.
Wasik, Agata M., Jerzy Grabarek, Aleksandar Pantovic, et al.. (2014). Reprogramming and Carcinogenesis—Parallels and Distinctions. International review of cell and molecular biology. 308. 167–203. 46 indexed citations
13.
14.
Wasik, Agata M., Martin Lord, Xiao Wang, et al.. (2013). SOXC transcription factors in mantle cell lymphoma: the role of promoter methylation in SOX11 expression. Scientific Reports. 3(1). 1400–1400. 26 indexed citations
15.
16.
Wasik, Agata M., Michael Gandy, Matthew J. McIldowie, et al.. (2011). Enhancing the anti-lymphoma potential of 3,4-methylenedioxymethamphetamine (‘ecstasy’) through iterative chemical redesign: mechanisms and pathways to cell death. Investigational New Drugs. 30(4). 1471–1483. 5 indexed citations
17.
Wasik, Agata M., Mark J. Millan, Thomas S. Scanlan, Nicholas M. Barnes, & John Gordon. (2011). Evidence for functional trace amine associated receptor-1 in normal and malignant B cells. Leukemia Research. 36(2). 245–249. 33 indexed citations
18.
Wasik, Agata M., Birger Christensson, & Birgitta Sander. (2011). The role of cannabinoid receptors and the endocannabinoid system in mantle cell lymphoma and other non-Hodgkin lymphomas. Seminars in Cancer Biology. 21(5). 313–321. 10 indexed citations
19.
Wang, Xiao, Stefan Björklund, Agata M. Wasik, et al.. (2010). Gene Expression Profiling and Chromatin Immunoprecipitation Identify DBN1, SETMAR and HIG2 as Direct Targets of SOX11 in Mantle Cell Lymphoma. PLoS ONE. 5(11). e14085–e14085. 39 indexed citations
20.
Gandy, Michael, Matthew J. McIldowie, Agata M. Wasik, et al.. (2010). Redesigning the designer drug ecstasy: non-psychoactive MDMA analogues exhibiting Burkitt's lymphoma cytotoxicity. MedChemComm. 1(4). 287–287. 12 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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